DEV Community: IPFoxy

Claude Code for Web Scraping in 2026: Build AI-Powered Scrapers Without Getting Blocked

IPFoxy — Wed, 03 Jun 2026 11:07:45 +0000

AI Agents have disrupted data collection. With Claude Code, you can now generate and execute complete scraping workflows using just natural language.

But can AI fully replace traditional scraper development? And how do you bypass aggressive anti-bot walls at scale? This guide covers how to quickly build an unblockable, AI-powered data collection system using Claude Code.

I. What scraping tasks can Claude Code handle?

Claude Code is a terminal-based AI coding assistant developed by Anthropic. It not only understands code but can also read, write, execute, and debug local files. Based on these capabilities, Claude Code can handle the following scraping tasks:

Static / dynamic web scraping: Whether it’s a simple HTML page or a JavaScript-heavy e-commerce site (like Amazon or eBay), Claude Code can automatically choose the appropriate library and implementation approach.
Automated interaction & anti-bot handling: It can generate scripts for clicking, infinite scrolling (lazy loading), form filling, and basic interaction simulation.
Data structuring & cleaning: Raw HTML is messy by nature. Claude Code can run local cleaning scripts and transform it into structured JSON, CSV, or Markdown formats.
Real-time competitor monitoring: Combined with scheduled tasks, Claude Code can continuously monitor websites for price tracking, sentiment analysis, and dashboard updates.

II. How to quickly build a scraper using Claude Code

Depending on the business scenario, there are two efficient ways to use Claude Code for web scraping:

Option 1: Let Claude Code build and run an advanced scraper (Python + Playwright example)

If you need deeply customized scraping logic (such as login simulation or complex click flows), you can let Claude Code build a complete scraping project directly in your local workspace.

Step 1: Start a Claude Code session

In your project root directory, open a terminal and run:

Bash
cd /path/to/your/scraper-project
claude

Step 2: Give Claude a natural language instruction

You can assign complex engineering tasks directly. In real-world data workflows, teams often configure Rotating Proxies to avoid blocks. Using IPFoxy proxies as an example, you can prompt:

“Write a Python + Playwright web scraper that extracts product titles and prices from an e-commerce page. It must support infinite scroll. To avoid being blocked, configure IPFoxy Rotating Proxies in the code and run locally until it successfully outputs a CSV file.”

Step 3: AI execution & debugging loop

At this point, Claude Code will start working:

It creates a spider.py file locally.
It automatically writes proxy configuration code — you only need to paste your connection string from the IPFoxy dashboard:
After generating your Rotating Proxy in IPFoxy, select your target region and parameters, then generate the connection string.
You will receive something like:
username:password@gate-us-ipfoxy.io:58688 ，Copy it directly.
Then assign it to proxy_auth_str.

Claude-generated code example:

Python

# Connection string copied from IPFoxy Rotating Proxies dashboard
# Format: username:password@gate-us-ipfoxy.io:58688
proxy_auth_str = "username:password@gate-us-ipfoxy.io:58688"   # paste your actual credentials

# Parse proxy string for Playwright configuration
proxy_parts = proxy_auth_str.split('@')
auth = proxy_parts[0].split(':')
server = "http://" + proxy_parts[1]   # e.g. http://gate-us-ipfoxy.io:58688
username, password = auth[0], auth[1]

from playwright.sync_api import sync_playwright
import csv
import time

with sync_playwright() as p:
    browser = p.chromium.launch(
        headless=True,
        proxy={
            "server": server,
            "username": username,
            "password": password
        }
    )
    page = browser.new_page()
    page.goto("https://example.com/products")

    # Handle infinite scroll
    page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
    time.sleep(2)

    # Extract product data
    items = page.query_selector_all('.product')
    data = []
    for item in items:
        title = item.query_selector('.title').inner_text()
        price = item.query_selector('.price').inner_text()
        data.append([title, price])

    # Export CSV
    with open('products.csv', 'w', newline='', encoding='utf-8') as f:
        writer = csv.writer(f)
        writer.writerow(['Title', 'Price'])
        writer.writerows(data)

    browser.close()

It attempts to run python spider.py in your terminal.

If anti-bot blocks or missing dependencies occur, Claude Code will automatically run pip install playwright or adjust headers (User-Agent) and retry strategies, until a CSV file is successfully generated.

Option 2: Use MCP protocol for “no-code” real-time data extraction

If you don’t want to maintain scraping scripts and only need Claude Code to fetch live web data for analysis or reporting, MCP (Model Context Protocol) is the most elegant solution in 2026.

By integrating a Firecrawl MCP server into Claude Code, you effectively give Claude “web-reading abilities.”

Step 1: Configure MCP server

Add a Firecrawl node to your MCP config:

{
  "mcpServers": {
    "firecrawl": {
      "command": "npx",
      "args": ["-y", "firecrawl-mcp"],
      "env": {
        "FIRECRAWL_API_KEY": "your_FIRECRAWL_API_KEY"
      }
    }
  }
}

Step 2: Ask Claude directly in terminal

After integration, Claude Code gains tools like scrape_url and crawl_site.

You can simply run:

claude "Analyze the pricing pages of these 3 competitors: URL1, URL2, URL3 and output a comparison table."

How it works: Claude automatically calls MCP scraping services in the background, bypasses complex JavaScript rendering, converts pages into clean Markdown, and outputs a structured comparison table directly in your terminal.

This approach requires zero scraping code and is accessible even to non-technical users. However, it has weaker control over IP rotation and is not suitable for large-scale or high-frequency scraping.

III. 4 key limitations of Claude Code scraping

Although Claude Code significantly lowers the barrier for scraper development, it is not a silver bullet. In real-world large-scale scraping, you will still face these limitations:

No solution for IP bans: Requests still originate from your local environment. Once request frequency exceeds thresholds, your IP may be blocked immediately.
Cloudflare & advanced anti-bot systems: Platforms like Cloudflare deploy strict WAF systems (5-second challenges, CAPTCHA). Without fingerprint masking, requests are often blocked instantly.
Geo-restrictions: Many platforms restrict or degrade content based on IP location, preventing access to full datasets.
Poor scalability: Large-scale scraping (tens of thousands of pages) is inefficient with local single-thread execution and lacks industrial-grade fault tolerance.

IV. How to improve Claude Code scraping success rate

To overcome the above limitations, you can significantly improve stability using the following strategies:

1. Optimize request frequency

Instruct Claude Code to add delays and randomness to reduce detection risk:

import time
import random

# Claude Code can automatically generate this pattern
for url in url_list:
    response = fetch(url, proxies=proxy)
    time.sleep(random.uniform(1, 3))  # random delay 1–3 seconds

2. Use browser automation frameworks

Avoid basic requests scraping. Prefer Playwright or Selenium.

Claude Code works especially well with Playwright. If you explicitly request “Playwright with headful mode (headless=False)”, it can bypass some basic bot detection layers.

3. Use high-concurrency residential proxy networks

This is the most effective way to solve IP bans and geo-blocking.

Integrating a high-quality provider like IPFoxy enables:

Large residential IP pool: real household IPs with low ban risk
Automatic IP rotation: per request, session-based, or timed switching
Global geo targeting: country, city, and ISP-level selection
High concurrency support: hundreds of requests per second for scalable scraping systems

When combined with Rotating Proxies, Claude Code-generated async scrapers can reliably handle production-level workloads.

V. FAQ

What is the difference between Claude Code scraping and traditional scraping?

Traditional scraping requires manually writing and debugging all code. Claude Code uses natural language instructions to generate, run, and debug scrapers automatically, significantly improving efficiency. However, proxy and anti-bot handling is still required.

Do I need to modify code when using IPFoxy proxies?

No. You only need to paste the connection string from the IPFoxy dashboard. Claude Code will automatically adapt it for Playwright, requests, or urllib proxy configurations.

Can Claude Code fully replace humans in large-scale scraping?

No. Claude Code is excellent at generating and debugging scraping logic, but it cannot solve IP bans, Cloudflare protection, geo-restrictions, or large-scale stability issues. Residential proxies and proper rate control are still required for production systems.

VI. Conclusion

Claude Code is reshaping traditional scraping workflows, enabling developers to build automated data collection systems using natural language.

However, while AI can accelerate scraper development, it cannot replace the importance of network infrastructure, proxy systems, and anti-bot strategies.

For long-term data collection projects, the combination of Claude Code, Playwright, and stable residential Rotating Proxies remains one of the most reliable architectures today.

eBay Price Monitoring Tutorial: How to Scrape eBay Product Data with Python

IPFoxy — Wed, 03 Jun 2026 09:24:58 +0000

In today's highly competitive e-commerce market, keeping track of real-time pricing has become a key factor for sellers to stay competitive. As one of the world's largest C2C and B2C e-commerce marketplaces, eBay processes hundreds of millions of product transactions every day. For operations teams, manually refreshing pages to monitor competitor pricing is not only inefficient but also increases the risk of missing optimal repricing opportunities.
This article provides a step-by-step guide to building a complete eBay price monitoring tool with Python. It covers the entire eBay data scraping workflow—from environment setup, proxy configuration, and data extraction to automated storage and email notifications. It also addresses the most common access restrictions and blocking issues encountered during data collection, helping you build a stable and cost-effective eBay price monitoring system.

I. Why Is eBay Data Scraping Valuable?

For e-commerce sellers, operations teams, and data analysts, the value of eBay data scraping goes far beyond simply checking prices. It enables you to:
● Capture competitor price adjustments as soon as they occur and avoid losing sales due to delayed pricing updates.
● Collect sales volume, review counts, and other metrics in bulk to identify trending categories and potential winning products.
● Replace manual data entry by automatically extracting structured data such as titles, images, and specifications.
● Build historical price trend models that support dynamic pricing strategies.
Based on these use cases, the goal of this article is to build a lightweight eBay price monitoring tool using Python and use proxies to overcome common access restrictions, making eBay data scraping more stable and efficient.

II. eBay Price Monitoring: Scraping Product Data with Python

Next, we'll build the entire system step by step. Each section includes runnable Python code that can be executed in sequence.

1. Prepare the Tools

Before starting eBay data scraping, install the following dependencies:
pip install requests beautifulsoup4 lxml schedule smtplib

requests is used for sending HTTP requests, beautifulsoup4 and lxml are used for parsing HTML, schedule handles task scheduling, and Python's built-in smtplib module is used for sending email alerts without requiring additional installation.

2. Retrieve eBay Product Pages

eBay uses User-Agent detection to identify bots. Using default request headers often results in 403 errors or CAPTCHA challenges. The following code uses browser-like request headers to retrieve page content:

import requests
from bs4 import BeautifulSoup
from requests.adapters import HTTPAdapter
from urllib3.util import Retry

def get_ebay_page(url, proxy=None):
    # 1. Initialize Session (automatically manage cookies)
    session = requests.Session()

    # 2. Configure retry mechanism (prevent temporary network interruptions)
    retries = Retry(total=3, backoff_factor=1, status_forcelist=[500, 502, 503, 504])
    session.mount('http://', HTTPAdapter(max_retries=retries))
    session.mount('https://', HTTPAdapter(max_retries=retries))

    # 3. More realistic browser headers
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
        "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8",
        "Accept-Language": "en-US,en;q=0.9",
        "Accept-Encoding": "gzip, deflate, br",
        "Cache-Control": "max-age=0",
        "Connection": "keep-alive",
        "Upgrade-Insecure-Requests": "1"
    }
    session.headers.update(headers)

    # 4. Normalize proxy format
    proxies = None
    if proxy:
        # Automatically add protocol if missing
        if not proxy.startswith(('http://', 'https://')):
            proxy = f"http://{proxy}"
        proxies = {"http": proxy, "https": proxy}

    try:
        # 5. Optional: Visit the homepage first to obtain initial cookies (important for anti-bot protection)
        # session.get("https://www.ebay.com", proxies=proxies, timeout=5)

        # 6. Request the product page
        response = session.get(url, proxies=proxies, timeout=10)
        response.raise_for_status()

        # eBay-specific validation: status code may be 200 while the page contains a security check
        if "captcha" in response.url or "Robot Check" in response.text:
            print("[Warning] Blocked by eBay Bot Check. Please switch proxy IPs or refresh cookies.")
            return None

        return response.text

    except requests.exceptions.RequestException as e:
        print(f"[Error] Failed to request page: {e}")
        return None

# ----- Test Run -----
if __name__ == "__main__":
    test_url = "https://www.ebay.com/itm/225643445557"  # Replace with a real eBay product URL
    html_content = get_ebay_page(test_url)

    if html_content:
        soup = BeautifulSoup(html_content, "html.parser")
        # Print page title to verify successful retrieval
        print("Page Title:", soup.title.text.strip() if soup.title else "Title Not Found")

Keep in mind that eBay page structures may vary depending on product categories. Before scraping, inspect the target page using browser developer tools and verify the CSS selectors of the elements you need.

3. Configure Proxies

One of the most common obstacles in eBay data scraping is IP blocking caused by frequent requests. Using rotating residential proxies allows requests to be distributed across multiple IP addresses, reducing the risk of interruptions caused by IP bans. This approach is particularly suitable for long-term eBay price monitoring projects.
For example, IPFoxy Proxies offers rotating residential proxies that can serve as a professional solution for large-scale data collection.
Obtain Proxy Information
Through IPFoxy Proxies, acquire a rotating residential proxy and configure parameters such as state/city location, protocol type, session rotation mode, and proxy format. After configuration, you will receive proxy connection credentials.

Configure Proxies in Python
Paste the proxy connection information obtained from IPFoxy Proxies into the following example:

import urllib.request

if __name__ == '__main__':
    proxy = urllib.request.ProxyHandler({
        'https': 'username:password@gate-us-ipfoxy.io:58688',
        'http': 'username:password@gate-us-ipfoxy.io:58688',
    })
    opener = urllib.request.build_opener(proxy, urllib.request.HTTPHandler)
    urllib.request.install_opener(opener)
    content = urllib.request.urlopen('http://www.ip-api.com/json').read()
    print(content)

After running the code, you should see that the outbound IP address has changed. This indicates that the proxy configuration is working correctly and you can proceed to the next step.

4. Extract Product Information

Once the page is successfully retrieved, use BeautifulSoup to parse the HTML and extract key fields such as product title, price, and stock availability:

import re
from bs4 import BeautifulSoup

def extract_product_info(html):
    # Recommended parser: html.parser (or lxml if installed)
    soup = BeautifulSoup(html, "html.parser")

    # 1. Product title: extract directly or from nested span
    title_element = soup.find("h1", class_="x-item-title__mainTitle")
    if title_element:
        # eBay often places the title inside a span with class ux-textspans
        sub_span = title_element.find("span", class_="ux-textspans")
        title_text = sub_span.get_text(strip=True) if sub_span else title_element.get_text(strip=True)
    else:
        title_text = "N/A"

    # 2. Current price: extract and clean numeric value for monitoring
    price_element = soup.find("div", class_="x-price-primary")
    price_text = "N/A"
    raw_price = "N/A"

    if price_element:
        raw_price = price_element.get_text(strip=True)  # Example: "US $24.99" or "C $35.00/ea"

        # Regular expression: extract numeric price value
        price_match = re.search(r'\d+(?:\.\d+)?', raw_price.replace(',', ''))
        if price_match:
            # Converted to numeric string "24.99"
            price_text = price_match.group(0)

    # 3. Stock status: use fallback selectors for better reliability
    stock_text = "Available"  # Assume available by default

    # Try the original class name first
    stock_element = soup.find("div", class_="d-quantity__availability")

    # Fallback option: eBay may use alternative wrappers
    if not stock_element:
        stock_element = soup.find(class_=re.compile(r".*quantity__availability.*"))

    if stock_element:
        stock_text = stock_element.get_text(strip=True)
    else:
        # Check whether the page contains stock-related keywords
        page_text = soup.get_text()
        if "Out of stock" in page_text or "This item is out of stock" in page_text:
            stock_text = "Out of Stock"

    return {
        "title": title_text,
        "raw_price": raw_price,      # Original price text, e.g. "US $24.99"
        "clean_price": price_text,   # Numeric value, e.g. "24.99"
        "stock": stock_text,
    }

5. Save Price Data

Store each collected price record in a CSV file for future trend analysis or import into Excel and databases:

import csv
import os
from datetime import datetime

def save_to_csv(data: dict, product_url="N/A", filename="ebay_prices.csv"):
    # 1. Define standard CSV fields
    fieldnames = ["timestamp", "title", "price", "stock", "url"]

    # 2. Safely check whether the file exists
    file_exists = os.path.exists(filename)

    # 3. Build the row data to be written
    row_to_write = {
        "timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),

        # Use .get(key, default) for fault tolerance
        "title": data.get("title", "N/A"),

        # Support both clean_price and price fields
        "price": data.get("clean_price") or data.get("price") or "N/A",

        "stock": data.get("stock", "N/A"),

        # Explicitly pass URL or retrieve from data
        "url": data.get("url") or product_url
    }

    # 4. Write data to file
    try:
        with open(filename, "a", newline="", encoding="utf-8-sig") as f:
            # utf-8-sig prevents garbled characters when opening in Excel on Windows
            writer = csv.DictWriter(f, fieldnames=fieldnames)

            # Write header if the file is newly created
            if not file_exists:
                writer.writeheader()

            # Write row data
            writer.writerow(row_to_write)
            print(f"[Success] Data appended to {filename}")

    except Exception as e:
        print(f"[Error] Failed to write CSV file: {e}")

# ----- Demo Test -----
if __name__ == "__main__":
    mock_parsed_data = {
        "title": "iPhone 15 Pro Max 256GB - Unlocked",
        "clean_price": "999.99",
        "raw_price": "US $999.99",
        "stock": "Limited quantity available"
    }

    target_url = "https://www.ebay.com/itm/123456789"

    # Test save
    save_to_csv(mock_parsed_data, product_url=target_url)

Using the timestamp field together with the price field allows you to reconstruct a complete historical pricing timeline and provides a reliable foundation for eBay price monitoring.

6. Monitor Price Changes

Based on the saved historical data, add threshold-based price monitoring logic. When the product price falls below a predefined target value, the system automatically triggers an alert:

import os
import re
import csv
from datetime import datetime

# ==================== Supporting Functions ====================
# (Shortened here for context. Use the optimized versions from previous sections.)

def get_ebay_page(url, proxy=None):
    import requests
    headers = {"User-Agent": "Mozilla/5.0"}
    proxies = {"http": proxy, "https": proxy} if proxy else None
    res = requests.get(url, headers=headers, proxies=proxies, timeout=10)
    return res.text

def extract_product_info(html):
    from bs4 import BeautifulSoup
    soup = BeautifulSoup(html, "html.parser")
    title_el = soup.find("h1", class_="x-item-title__mainTitle")
    price_el = soup.find("div", class_="x-price-primary")

    title = title_el.get_text(strip=True) if title_el else "Unknown Item"
    raw_price = price_el.get_text(strip=True) if price_el else "N/A"

    # Extract numeric value using regex
    price_match = re.search(r'\d+(?:\.\d+)?', raw_price.replace(',', ''))
    clean_price = price_match.group(0) if price_match else "N/A"

    return {
        "title": title,
        "raw_price": raw_price,
        "clean_price": clean_price,
        "stock": "Available"
    }

def save_to_csv(data: dict, product_url, filename):
    file_exists = os.path.exists(filename)
    with open(filename, "a", newline="", encoding="utf-8-sig") as f:
        writer = csv.DictWriter(
            f,
            fieldnames=["timestamp", "title", "price", "stock", "url"]
        )
        if not file_exists:
            writer.writeheader()

        writer.writerow({
            "timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
            "title": data["title"],
            "price": data["clean_price"],
            "stock": data["stock"],
            "url": product_url
        })

# ==================== Improved Monitoring and Alert Logic ====================

def send_alert(title, current_price, url):
    """
    Trigger alert workflow (can be extended to email, Slack, Teams, etc.)
    """
    print("\n" + "=" * 40)
    print(" [Price Alert Triggered] Low-price item detected!")
    print(f" Product: {title}")
    print(f" Current Price: {current_price}")
    print(f" Product URL: {url}")
    print("=" * 40 + "\n")


def monitor_price(url, threshold_price, history_file="ebay_prices.csv", proxy=None):
    """
    Main price monitoring function
    """
    print(f"[*] Checking product price... Target Threshold: {threshold_price}")

    # 1. Retrieve page source
    html = get_ebay_page(url, proxy=proxy)
    if not html:
        print("[Error] Unable to retrieve product page. Monitoring skipped.")
        return

    # 2. Parse product information
    info = extract_product_info(html)

    # 3. Save historical records
    save_to_csv(info, product_url=url, filename=history_file)

    # 4. Safely parse numeric price
    try:
        current_price = float(info["clean_price"])
    except (ValueError, TypeError):
        print(f"[Warning] Unable to parse price value. Original text: {info.get('raw_price')}")
        return

    print(
        f" Successfully Retrieved -> "
        f"[{info['title']}] Current Price: {current_price} "
        f"(Original: {info['raw_price']})"
    )

    # 5. Threshold check
    if current_price <= threshold_price:
        send_alert(info["title"], current_price, url)
    else:
        print("[-] Target price not reached. Continue monitoring...")


# ----- Test Run -----
if __name__ == "__main__":
    MY_PROXY = None  # Example: "http://127.0.0.1:7890"

    target_item_url = "https://www.ebay.com/itm/225643445557"

    # Set target price to 500
    monitor_price(
        target_item_url,
        threshold_price=500.0,
        proxy=MY_PROXY
    )

7. Automatically Send Price Alerts

Combined with the monitor_price function above, the following code enables email notifications through Gmail SMTP. You can also replace it with Slack Webhooks or enterprise messaging platforms:
import smtplib
from email.mime.text import MIMEText
from email.header import Header

def send_alert(
        title,
        price,
        url,
        sender="your@gmail.com",
        receiver="your@gmail.com",
        password="xxxx xxxx xxxx xxxx"  # Google App Password
):

    # 1. Build structured HTML email content
    html_body = f"""
    <html>
      <body>
        <h2 style="color: #e53238;">[eBay Price Alert Triggered]</h2>
        <p><strong>Product:</strong> {title}</p>
        <p><strong>Current Price:</strong>
           <span style="color: #107a10; font-size: 18px; font-weight: bold;">
           {price}
           </span>
        </p>
        <p><strong>Product URL:</strong>
           <a href="{url}" target="_blank">
           View on eBay
           </a>
        </p>
        <br>
        <hr style="border:0; border-top:1px solid #eee;">
        <p style="font-size: 12px; color: #999;">
          This email was automatically generated by the eBay price monitoring script.
          Please do not reply directly.
        </p>
      </body>
    </html>
    """

    # 2. HTML email format
    msg = MIMEText(html_body, "html", "utf-8")

    # 3. Proper UTF-8 encoding
    msg["Subject"] = Header(
        f"[eBay Price Alert] {title} dropped to {price}",
        "utf-8"
    )

    msg["From"] = Header(
        f"eBay Monitoring Bot <{sender}>",
        "utf-8"
    )

    msg["To"] = Header(receiver, "utf-8")

    try:
        print("[*] Connecting to Gmail SMTP server...")

        with smtplib.SMTP_SSL(
                "smtp.gmail.com",
                465,
                timeout=15
        ) as server:

            server.login(sender, password)
            server.sendmail(
                sender,
                [receiver],
                msg.as_string()
            )

        print("[Success] Price alert email sent successfully!")
        return True

    except smtplib.SMTPAuthenticationError:
        print(
            "[Error] Email sending failed: Authentication error. "
            "Please verify your Google App Password."
        )

    except smtplib.SMTPConnectError:
        print(
            "[Error] Email sending failed: Unable to connect "
            "to Gmail SMTP server."
        )

    except Exception as e:
        print(f"[Error] Unknown email error: {e}")

    return False


# ----- Test Run -----
if __name__ == "__main__":

    test_title = "iPhone 15 Pro Max 256GB Unlocked"
    test_price = "$899.00"
    test_url = "https://www.ebay.com/itm/123456789"

    # Replace sender, receiver and password before testing
    # send_alert(test_title, test_price, test_url)

Note that Gmail requires Two-Step Verification to be enabled and an App Password to be generated before SMTP login can be used. Using your regular account password will result in authentication errors.

8. Schedule Automated Monitoring Tasks

Finally, use the schedule library to combine all components into an automated workflow that continuously runs in the background without manual intervention:

import os
import re
import csv
import time
import requests
from datetime import datetime
from bs4 import BeautifulSoup
import schedule
import smtplib
from email.mime.text import MIMEText
from email.header import Header

# ==================== 1. Global Configuration ====================

TARGET_URL = "https://www.ebay.com/itm/225643445557"
THRESHOLD_PRICE = 299.99
CHECK_INTERVAL_HOURS = 1
HISTORY_FILE = "ebay_prices.csv"

EMAIL_SENDER = "your@gmail.com"
EMAIL_RECEIVER = "your@gmail.com"
EMAIL_PASSWORD = "xxxx xxxx xxxx xxxx"

MY_PROXY = None

# Prevent duplicate alerts
HAS_ALERTED = False

# ==================== 2. Core Functions ====================

def get_ebay_page(url, proxy=None):
    """ Safely retrieve page source """

    session = requests.Session()

    headers = {
        "User-Agent":
        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
        "AppleWebKit/537.36 (KHTML, like Gecko) "
        "Chrome/124.0.0.0 Safari/537.36",

        "Accept-Language": "en-US,en;q=0.9",
        "Accept-Encoding": "gzip, deflate, br",
    }

    session.headers.update(headers)

    proxies = {"http": proxy, "https": proxy} if proxy else None

    try:
        response = session.get(
            url,
            proxies=proxies,
            timeout=15
        )

        response.raise_for_status()

        if "captcha" in response.url or "Robot Check" in response.text:
            print(
                f"[{datetime.now()}] "
                f"[Warning] eBay bot verification triggered. Scraping failed."
            )
            return None

        return response.text

    except Exception as e:
        print(
            f"[{datetime.now()}] "
            f"[Error] Network request exception: {e}"
        )
        return None


def extract_product_info(html):
    """ Extract and clean product information """

    soup = BeautifulSoup(html, "html.parser")

    title_el = soup.find(
        "h1",
        class_="x-item-title__mainTitle"
    )

    title = (
        title_el.get_text(strip=True)
        if title_el else "Unknown Item"
    )

    price_el = soup.find(
        "div",
        class_="x-price-primary"
    )

    raw_price = (
        price_el.get_text(strip=True)
        if price_el else "N/A"
    )

    price_match = re.search(
        r'\d+(?:\.\d+)?',
        raw_price.replace(',', '')
    )

    clean_price = (
        price_match.group(0)
        if price_match else "N/A"
    )

    stock_el = soup.find(
        "div",
        class_="d-quantity__availability"
    )

    if not stock_el:
        stock_el = soup.find(
            class_=re.compile(r".*quantity__availability.*")
        )

    stock = (
        stock_el.get_text(strip=True)
        if stock_el else "Available"
    )

    return {
        "title": title,
        "raw_price": raw_price,
        "clean_price": clean_price,
        "stock": stock
    }


def save_to_csv(data: dict, product_url, filename):
    """ Append records to CSV """

    file_exists = os.path.exists(filename)

    try:
        with open(
            filename,
            "a",
            newline="",
            encoding="utf-8-sig"
        ) as f:

            writer = csv.DictWriter(
                f,
                fieldnames=[
                    "timestamp",
                    "title",
                    "price",
                    "stock",
                    "url"
                ]
            )

            if not file_exists:
                writer.writeheader()

            writer.writerow({
                "timestamp":
                datetime.now().strftime("%Y-%m-%d %H:%M:%S"),

                "title":
                data["title"],

                "price":
                data["clean_price"],

                "stock":
                data["stock"],

                "url":
                product_url
            })

    except Exception as e:
        print(f"[Error] Failed to write CSV: {e}")


def send_alert(title, price, url):
    """ Send Gmail notification """

    global HAS_ALERTED

    if HAS_ALERTED:
        print(
            "[Info] Alert already sent during current low-price state. "
            "Skipping duplicate notification."
        )
        return

    subject = f"[eBay Price Alert] {title} dropped to {price}"

    html_body = f"""
    <html><body>
      <h2 style="color:#e53238;">🚨 eBay Price Drop Alert</h2>
      <p><strong>Product:</strong> {title}</p>
      <p><strong>Current Price:</strong>
      <span style="color:green;font-size:18px;font-weight:bold;">
      {price}
      </span></p>
      <p><strong>Link:</strong>
      <a href="{url}">View Product</a></p>
    </body></html>
    """

    msg = MIMEText(html_body, "html", "utf-8")

    msg["Subject"] = Header(subject, "utf-8")

    msg["From"] = Header(
        f"eBay Monitoring Assistant <{EMAIL_SENDER}>",
        "utf-8"
    )

    msg["To"] = Header(
        EMAIL_RECEIVER,
        "utf-8"
    )

    try:
        with smtplib.SMTP_SSL(
                "smtp.gmail.com",
                465,
                timeout=15
        ) as server:

            server.login(
                EMAIL_SENDER,
                EMAIL_PASSWORD
            )

            server.sendmail(
                EMAIL_SENDER,
                [EMAIL_RECEIVER],
                msg.as_string()
            )

        print("[Email] Price alert email sent successfully!")

        HAS_ALERTED = True

    except Exception as e:
        print(f"[Email Error] Failed to send email: {e}")


# ==================== 3. Monitoring Task ====================

def monitor_price(url, threshold_price):

    global HAS_ALERTED

    current_time = datetime.now().strftime(
        "%Y-%m-%d %H:%M:%S"
    )

    print(
        f"\n[*] [{current_time}] Scheduled Check Triggered..."
    )

    try:
        html = get_ebay_page(
            url,
            proxy=MY_PROXY
        )

        if not html:
            return

        info = extract_product_info(html)

        save_to_csv(
            info,
            product_url=url,
            filename=HISTORY_FILE
        )

        try:
            current_price = float(
                info["clean_price"]
            )

        except (ValueError, TypeError):
            print(
                f"[Warning] Unable to parse price: "
                f"{info['raw_price']}"
            )
            return

        print(
            f" -> [{info['title']}] "
            f"Current Price: {current_price} "
            f"(Target: {threshold_price})"
        )

        if current_price <= threshold_price:
            send_alert(
                info["title"],
                current_price,
                url
            )

        else:
            if HAS_ALERTED:
                print(
                    "[Info] Price recovered above threshold. "
                    "Resetting alert status."
                )
                HAS_ALERTED = False

    except Exception as top_e:
        print(
            f"[Crash Intercepted] Unknown error occurred: "
            f"{top_e}. Waiting for next cycle..."
        )


# ==================== 4. Scheduler ====================

if __name__ == "__main__":

    print("=" * 40)
    print(" Automated Price Monitoring System Started")
    print(f" Monitoring Target: {TARGET_URL}")
    print(f" Target Threshold: {THRESHOLD_PRICE}")
    print(f" Check Frequency: Every {CHECK_INTERVAL_HOURS} hour(s)")
    print("=" * 40)

    # Run immediately at startup
    monitor_price(
        url=TARGET_URL,
        threshold_price=THRESHOLD_PRICE
    )

    schedule.every(
        CHECK_INTERVAL_HOURS
    ).hours.do(
        monitor_price,
        url=TARGET_URL,
        threshold_price=THRESHOLD_PRICE
    )

    try:
        while True:
            schedule.run_pending()
            time.sleep(1)

    except KeyboardInterrupt:
        print(
            "\n[!] Stop signal received. "
            "System exited safely."
        )

Final Deployment Recommendations

● During testing, set THRESHOLD_PRICE higher than the current product price. For example, if the current price is $300, set the threshold to $400. This allows the alert system to trigger immediately so you can verify that email notifications are configured correctly.
● For long-term operation, ensure that your computer's automatic sleep or hibernation settings are disabled.
At this point, you have successfully built a complete eBay data scraping and price monitoring system.

III. FAQ

Q1: Why Do I Frequently Encounter 403 Errors or CAPTCHA Challenges?
eBay detects automated scraping through IP frequency analysis, User-Agent identification, and behavioral pattern analysis.
Possible solutions include:
● Using residential proxies such as IPFoxy Proxies to rotate IP addresses.
● Adding randomized request intervals between 1–5 seconds.
● Sending complete browser request headers.
● Using Selenium to simulate real browser behavior for more advanced scenarios.
Q2: What Should I Do If My Scraper Stops Working After eBay Updates Its Page Structure?
eBay periodically updates its HTML structure and CSS class names, which may cause existing selectors to fail.
Recommended practices include:
● Centralizing selector definitions for easier maintenance.
● Adding multiple fallback selectors for critical fields.
● Setting up error logging and alert mechanisms to detect scraping failures quickly.
Q3: How Can I Monitor Multiple Products Simultaneously?
Store product URLs and target price thresholds in a list or configuration file, then iterate through them within the scheduled monitoring task.
Best practices include:
● Adding random delays between requests.
● Rotating proxy IPs.
● Distributing requests across multiple sessions to reduce the likelihood of IP bans.

IV. Conclusion

For e-commerce sellers and operations teams, building a reliable eBay price monitoring system enables faster responses to market changes and supports more competitive pricing strategies. At the same time, using rotating residential proxies to reduce the risk of blocking is essential for maintaining long-term scraping stability.
If you want to further expand your system, consider integrating the eBay API for more reliable data access, incorporating machine learning models to predict price trends, or extending monitoring capabilities to other marketplaces such as Amazon and AliExpress to create a multi-platform pricing intelligence platform.

LinkedIn Lead Generation Guide: From Account Warm-Up to Finding High-Quality B2B Clients

IPFoxy — Tue, 02 Jun 2026 10:09:01 +0000

LinkedIn is the world's largest professional networking platform, with more than 1 billion registered users across over 200 countries and regions. Unlike consumer-focused social platforms such as Facebook and Instagram, LinkedIn's core audience consists of business decision-makers, procurement managers, industry experts, and B2B buyers. This is one of the main reasons why it has become a preferred channel for B2B lead generation.

For e-commerce businesses and B2B companies, LinkedIn offers several advantages: higher-quality prospects, shorter decision-making cycles, and significantly lower conversion costs compared to paid advertising due to its trust-based networking model.

I. LinkedIn Account Warm-Up: The Foundation of Effective Lead Generation

LinkedIn lead generation starts with a properly warmed-up account. Accounts that have not gone through a systematic warm-up process are more likely to be restricted and often suffer from low visibility, which directly impacts lead generation results.

A well-maintained account helps reduce suspension risks, improve search visibility, increase connection request limits, and create a stronger foundation for future prospecting activities.

1.Recommended Account Warm-Up Schedule

Important notes during the warm-up period:

Use a fixed IP address for login and avoid frequently switching devices. For multi-account management, an Anti-detect browser should be used to isolate account environments and prevent account linkage issues.

2.LinkedIn Profile Optimization Checklist

Your LinkedIn profile serves as both a digital business card and a key conversion point for lead generation. Profile optimization should balance platform SEO requirements with a strong first impression for visitors.

Profile SEO Checklist:

Headline: Up to 220 characters with primary keywords included

About Section: The first two lines are critical. Clearly explain how you help clients while naturally integrating keywords

Experience: Use results-oriented descriptions supported by measurable achievements

Skills: Add 15-20 industry-relevant skills and seek endorsements from peers

Profile Photo and Banner: Use a professional and authentic profile image; banners can showcase your company, products, or slogan

Company Page Recommendations:

Regularly update product pages, connect employees to the company page, and publish company updates. A well-optimized company page can significantly improve lead generation performance.

3.Content Strategy

LinkedIn's algorithm primarily distributes content to first-degree and second-degree connections. Therefore, the goal of content marketing is to nurture relationships through valuable content and eventually reach potential clients.

High-Performing Content Types:

Native Posts: Industry insights and case studies

Carousel Posts: Visual presentations of products, workflows, and data

Short Videos: Factory tours, product demonstrations, and customer success stories

Articles: Useful for internal search visibility

Polls and Q&A Posts: Encourage engagement and discussions

Recommended posting frequency is 3-5 posts per week. Consistency is more important than volume. Responding to every comment can significantly increase content visibility.

4.Building Connections: The Traffic Foundation of LinkedIn Lead Generation

Three Key Target Groups:

Target Prospects: Use Advanced Search to identify buyers and decision-makers

Industry KOLs: Connect with thought leaders to increase visibility

Potential Partners: Build relationships across the supply chain to strengthen credibility

LinkedIn Groups Strategy:

Join groups related to your industry and consistently share valuable, non-promotional content. Active group participation allows you to communicate directly with members and can become a highly cost-effective lead generation channel.

II. Common LinkedIn Account Warm-Up Mistakes and How to Avoid Them

1.High-Risk Behaviors That Can Lead to Restrictions or Suspensions

The following activities may trigger LinkedIn's risk control systems:

Sending large numbers of connection requests immediately after registration

Sending identical messages to multiple users

Using non-compliant automation tools beyond platform limits

Frequently changing login IP addresses or devices

LinkedIn enforces strict account security measures. Professional LinkedIn teams often use high-quality dedicated static residential proxy services provided by IPFoxy Proxies to better simulate authentic user behavior and reduce risk-control triggers.

2.Preventing Account Linkage in Multi-Account Operations

For B2B companies, service providers, and sales teams, operating multiple LinkedIn accounts has become a common lead generation strategy.

LinkedIn may detect account relationships through shared IP addresses, shared devices, and similar behavioral patterns.

Best Practices:

Use a separate browser environment and IP address for each account

Simulate natural user behavior and gradually increase activity

Assign different content roles to different accounts

Avoid launching large-scale marketing campaigns immediately after registration

Using an Anti-detect browser together with a proxy is a common and effective approach for secure multi-account management.

3.Selling Before Building Trust

This is one of the biggest reasons LinkedIn outreach fails.

A More Effective Trust-Building Process:

Engage with the prospect's content through likes and meaningful comments

Include a personalized note when sending a connection request

Share useful resources after connecting

Introduce business-related topics naturally after several interactions

Content That Does Not Match the Target Audience

During the warm-up phase, publishing only promotional content often leads to poor engagement and creates resistance among prospects.

4.Follow the 80/20 Rule:

80% industry value such as market trends, solutions, and case studies

20% product and service promotion

III. LinkedIn Lead Generation Workflow: From Prospecting to Conversion

1.Precise Prospect Identification

LinkedIn Advanced Search is one of the most valuable lead generation tools available. Even the free version offers powerful filtering capabilities.

Key Search Filters:

Keywords: Product categories or job titles

Job Titles: Purchasing Manager, Head of Sourcing, and other decision-makers

Location: Target countries or cities

Industry: Relevant industry categories

Connection Level: Prioritize second-degree connections whenever possible

For businesses with larger budgets, LinkedIn Sales Navigator offers advanced filtering capabilities and is highly recommended for scaling lead generation efforts.

2.Messaging Best Practices

Principles of High-Converting Outreach Messages:

Reference a prospect's post, mutual connection, or recent company update

Keep the first message under five sentences

Avoid sending product catalogs immediately

Share useful resources

End with a low-commitment call to action

Recommended Follow-Up Schedule:

Send the first follow-up within three days after connecting. If there is no response, send a second message after seven days with a different angle. Avoid more than three follow-up attempts.

3.Automation Tools and CRM Systems

As lead volume increases, automation tools can significantly improve efficiency.

Common Tool Categories:

LinkedIn Automation Tools: Automate connection requests, follow-ups, and engagement activities

Email Discovery Tools: Extract business email addresses for multi-channel outreach

CRM Platforms: Track lead status, schedule follow-ups, and manage the sales pipeline

Automation Best Practices:

Even when using automation tools, limit daily connection requests to 20-30. Message templates should always be personalized rather than fully duplicated.

4.Content-Driven Lead Generation

The most sustainable LinkedIn lead generation strategy combines continuous content creation with personal branding.

Three-Step Framework:

Deliver Value: Publish content that helps your target audience

Build Recognition: Establish expertise through comments and conversations

Encourage Conversion: Include lightweight conversion triggers within content

5.Multi-Account Lead Generation Strategy

Compared to a single account, a well-structured multi-account setup can reach more prospects, increase content exposure, and reduce operational risks.

Recommended Workflow:

Company accounts publish brand and industry content

Sales accounts connect directly with prospects

Supporting accounts increase visibility through engagement

All leads are centralized and managed through a CRM system

When account networks, content marketing, and targeted outreach work together, businesses can build a more scalable and sustainable LinkedIn lead generation system.

IV. FAQ

1.How long should I warm up a LinkedIn account before starting lead generation?
Typically, 1-2 months is recommended. Once the profile reaches All-Star status and accumulates more than 100 connections, systematic lead generation efforts can begin with lower risks and better results.
2.How often should I post content?
During the warm-up stage, one post per day is generally the upper limit. After stabilization, 3-5 posts per week is recommended.
3.What should I do if prospects do not respond to my messages?
Review your messaging strategy to ensure it is not overly sales-focused. Try engaging with their content before sending messages and consider adding email outreach as a secondary channel. If there is no response after three follow-ups, move the contact into a long-term nurturing list and continue sharing valuable content monthly.

V. Conclusion

LinkedIn lead generation is not about shortcuts—it is about following a proven process. Whether you are a salesperson or part of a B2B marketing team, consistently applying these strategies can help generate a steady flow of qualified inquiries within three to six months.

Start by optimizing and warming up your LinkedIn account today. A solid foundation will make every future lead generation effort significantly more effective.

Shopee vs Lazada vs TikTok Shop: 2026 Southeast Asia E-commerce Platform Comparison

IPFoxy — Tue, 02 Jun 2026 10:04:39 +0000

Southeast Asia’s e-commerce market is experiencing the most intense platform reshuffling in recent years. If you are still unsure which platform to start with, this article will help you make the best decision based on market background, platform positioning, operating costs, and practical strategies.

I. Why Southeast Asia E-commerce Matters in 2026

The growth curve of Southeast Asia’s e-commerce market is prompting more small and medium-sized sellers to reconsider this blue ocean.Currently, the six major markets—Indonesia, Malaysia, Philippines, Thailand, Vietnam, and Singapore—continue to expand e-commerce GMV at a high pace in 2024.Compared with Western markets, Southeast Asia is more seller-friendly for SMEs. While the average order value is relatively low, demand is strong, the population bonus is significant, and new, trendy, and cost-effective products are highly accepted.In terms of platform landscape, Shopee, Lazada, and TikTok Shop together account for over 80% of the regional market share, making the direction for entry clear. For sellers planning to enter Southeast Asia in 2026, understanding the differences between these three platforms is the first step toward crafting the right strategy.

II. Shopee vs Lazada vs TikTok Shop: Platform Positioning

The positioning and ecosystem of each platform are very different, and the suitable seller types vary accordingly. The following analyzes each platform by positioning, pros and cons, and suitable sellers.

1.Shopee

Shopee, founded by Sea Group in 2015, is currently the largest integrated e-commerce platform in Southeast Asia. In 2024, it accounted for approximately 52% of Southeast Asia’s e-commerce GMV, with a large user base, wide SKU coverage, and high localization.
● Advantages: Stable traffic, strong purchase intent (mainly search traffic), mature platform tools, and effective promotional campaigns (e.g., Double 11, month-end sales).
● Disadvantages: Rising competition has increased traffic acquisition costs. Starting February 2026, Shopee added a 5% technical service fee in markets like Malaysia, Singapore, Thailand, and Vietnam, increasing overall costs.
● Suitable for: Small and medium sellers with established supply sources seeking steady growth, and mature sellers aiming for fast volume through major promotions.

2.Lazada

Lazada, part of Alibaba Group, entered the market earlier than Shopee and has established strong trust through its LazMall flagship ecosystem, especially for brand authorization and genuine product guarantees.
● Advantages: Relatively low commission rates, strong credibility for sellers with brand qualifications.
● Disadvantages: Market share has declined in recent years, ranking third in multiple countries, and platform traffic benefits are limited.
● Suitable for: Sellers with established brands aiming to build flagship stores in Southeast Asia, and experienced sellers prioritizing lower commission costs.

3.TikTok Shop

TikTok Shop is the fastest-growing e-commerce platform in Southeast Asia. After integrating with Tokopedia in Indonesia, it ranks second in multiple markets, including Indonesia, Thailand, Vietnam, and the Philippines. Short videos and live streaming are its core traffic sources, driving a complete exposure-to-conversion chain.
● Advantages: High incremental traffic, relatively controllable content marketing costs, and various support policies for new sellers, such as commission reductions and ad rebates.
● Disadvantages: Requires continuous short video production or influencer cooperation; content management skills are critical. Operating costs in 2026 have risen, with Vietnam commissions at 12.5% (standard sellers) and 14.5% (mall sellers).
● Suitable for: Sellers with content marketing ability, willing to invest in influencer collaboration, and those aiming to capture platform traffic opportunities.

III. Shopee vs Lazada vs TikTok Shop: Core Operating Costs Comparison

After understanding platform positioning, the cost structure becomes a key quantitative factor. Below is a comparison of core operating elements for the three platforms.

IV. Shopee vs Lazada vs TikTok Shop: Practical Operating Strategies

Data comparison is only the starting point; execution quality of strategies determines real results. The following five strategies are essential for growing on Southeast Asia platforms in 2026.

1.Main Platform + Auxiliary Platform Model

For resource-limited sellers, covering all three platforms is unrealistic. A practical approach is to select one main platform for deep operation, using one or two others as auxiliary channels.Typically, Shopee is recommended as the main platform (large traffic base, stable conversions), with TikTok Shop as a content marketing support—Shopee handles high-intent users, while TikTok Shop reaches new audiences. Lazada can serve as a supplementary flagship store option, especially for sellers with brand authorization.

2.Choose Platforms by Country

Platform ecosystems differ by country:
● Indonesia: TikTok Shop (post-Tokopedia integration) and Shopee are highly competitive; both deserve focus.
● Thailand: Shopee has a strong category premium effect and relatively high order value.
● Vietnam: TikTok Shop grows rapidly but higher commissions require profit recalculation.
● Philippines & Malaysia: Shopee and TikTok Shop dominate; Lazada ranks third.Platform priority should be planned by country.

3.Multi-store Operations as a 2026 Trend

Mature sellers increasingly open multiple stores in different countries on the same platform or operate across platforms, forming a multi-store matrix. This reduces single-channel risk and accelerates product optimization through cross-platform data.With stricter multi-store control by Shopee, Lazada, and TikTok Shop, professional teams focus on account environment independence. Common solutions combine IP isolation and device isolation.
● IP isolation: Each account needs a unique, stable IP. Using dedicated static residential proxies from providers like IPFoxy, matched to the target market, lowers risk of triggering platform control.

● Device isolation: Platforms track browser fingerprints, device IDs, and cookies. Teams integrate static residential proxies into anti-detect browsers to create fully independent environments, isolating hardware and behavior to avoid linked account penalties.

4.Combine Content Marketing with E-commerce

TikTok Shop’s rise proves that content is the next core competitive edge in Southeast Asia.Even if your main platform is Shopee, integrating TikTok content marketing—via short videos or influencer collaborations—can drive traffic to Shopee for conversions. The “content platform + transaction platform” strategy forms a complementary traffic funnel.

V. FAQ

Q: Is multi-platform operation necessary?
A: New sellers should focus on one platform first. Established sellers can use multi-platform strategies to offset rising fees and diversify risk.
Q: Which platform is best for beginners?
A: Considering entry requirements, traffic stability, and operational complexity, Shopee is recommended. Sellers with content marketing skills or influencer resources can use TikTok Shop as a secondary platform. Lazada suits sellers with brand credentials for flagship stores.
Q: What common pitfalls should beginners avoid?
A: 1. Copying domestic bestsellers without considering local preferences and competition.2. Ignoring logistics cost differences across countries.3. Focusing solely on opening stores without optimizing images, titles, and descriptions for local buyers.
VI. Conclusion
Choosing a Southeast Asia e-commerce platform in 2026 is no longer about “which platform is best,” but about “how to combine platforms and match resources.” There is no universal answer—success depends on capability.Whether you are a beginner or a mature seller aiming for scale, selecting the right platform, deepening operations, and iterating with data is the way to win the Shopee vs Lazada vs TikTok Shop competition.

Claude Opus 4.8 Released: Core Upgrades, Benchmarks, and Migration Guide

IPFoxy — Fri, 29 May 2026 09:57:27 +0000

Just 41 days after the release of Claude Opus 4.7, Anthropic launched another flagship iteration on May 28, 2026 — Claude Opus 4.8. This update comes without a price increase, yet introduces substantial improvements in coding honesty, agent workflows, speed control, and more. Is this a genuine upgrade or simply another version-number refresh? This article breaks it down from three perspectives: core capabilities, benchmark performance, and real-world adoption scenarios.

I. Claude Opus 4.8 Core Upgrades Overview

Claude Opus 4.8 is positioned as a “modest but tangible improvement.” Anthropic explicitly stated that this release focuses on agent task capabilities while introducing three major new features alongside multiple model upgrades.

1.Detailed Upgrade Improvements

● Agentic Coding
The SWE-bench Pro score jumped from 64.3% in Opus 4.7 to 69.2%, while SWE-bench Verified increased from 87.6% to 88.6%. These are currently the highest scores among publicly tested models, directly reflecting issue-solving ability in real open-source repositories. For engineering teams, this is more than just a benchmark number — it means Claude Opus 4.8 achieves significantly higher success rates when handling actual bug-fixing tasks.
● Terminal Coding
Claude Opus 4.8 scored 74.6% on Terminal-Bench 2.1, a notable improvement over Opus 4.7’s 66.1%, although GPT-5.5 still leads with 78.2%. Anthropic remained transparent about this in its official notes: Claude Opus 4.8 is not yet the top performer for pure terminal/CLI workflows, but it has surpassed Gemini 3.1 Pro at 70.3%.
● Reasoning and Mathematics
On Humanity’s Last Exam (HLE), the model scored 49.8% without tools and 57.9% with tool assistance, ranking first among the four compared models. GPQA Diamond reached 93.6%, while the GDPval-AA real-world work quality leaderboard placed it at an Elo score of 1890, outperforming GPT-5.5 by 121 points.
● Code Honesty
This is the improvement Anthropic emphasized the most. Compared with Opus 4.7, the new model is four times less likely to silently ignore code defects. It actively marks uncertainty in its own outputs rather than masking mistakes with overconfidence. Early testers reported that the model says “I’m not sure” more quickly and shows less false confidence in uncertain situations.

2.New Features Explained

● Fast Mode
Fast Mode can generate tokens at approximately 2.5× standard speed, reaching around 62 tokens per second in real-world testing. The most important change is pricing: Fast Mode for Opus 4.8 costs $10/$50 per million input/output tokens, a threefold reduction from Opus 4.7’s $30/$150 pricing. It shares the same model weights as standard mode, meaning quality remains unchanged. This mode is especially suitable for latency-sensitive applications such as real-time code completion and customer support systems.
● Dynamic Workflows
Currently available as a Research Preview, this feature is limited to Claude Code Enterprise, Team, and Max plans. The workflow works by letting Claude first build an overall execution plan, then launch hundreds of parallel sub-agents to complete tasks independently before validating and merging the final results.
Anthropic demonstrated this with large-scale codebase migration tasks involving hundreds of thousands of lines of code, where AI handled the process from start to merge while existing test suites acted as validation criteria. In practice, Dynamic Workflows gives Claude Opus 4.8 the ability to process tasks beyond a single context window for the first time.
● Effort Control
All claude.ai subscription users can now access an effort-level slider inside the chat interface. The available levels include standard, high (default), xhigh, and max.
Higher settings enable deeper reasoning but consume more rate-limit quota, while lower settings provide faster responses with lower quota usage. Developers can also update system prompts mid-task through the Messages API without breaking prompt caching or introducing additional user turns, allowing more flexible agent instruction orchestration.

II. Claude Opus 4.7 vs 4.8 Full Comparison

III. Is Claude Opus 4.8 Worth Using?

1.From a Use-Case Perspective: Is Migration Worth It?

● Large Codebase Maintenance
A SWE-bench Pro score of 69.2% reflects real repository issue-fixing capability. Teams managing multiple cross-file bugs every week may significantly reduce manual intervention by combining Claude Opus 4.8 with Dynamic Workflows.
● Code Review Requiring Reliability
Improved honesty is one of the most practical upgrades in this release. For teams using AI-assisted code review, a model that actively says “there may be an issue here” is far more valuable than one that sounds confident while being wrong.
● Real-Time User Interaction Products
The 3× price reduction in Fast Mode means the same budget can support many more real-time responses. This directly changes the cost structure for developers building AI copilots or customer service applications.
● Large-Scale Migration Tasks
Dynamic Workflows was designed specifically for tasks too large for a single context window. Codebase refactoring, large document processing, and multi-step data pipelines are all potential beneficiaries.

2.From a User Perspective: Is Upgrading Worth It?

● Individual Developers and Independent Creators
Standard pricing remains unchanged, the effort slider is available to all users, and Fast Mode pricing has dropped significantly. Since the upgrade cost is effectively zero, switching is strongly recommended.
● Small and Mid-Sized Engineering Teams
The biggest advantages are the SWE-bench Pro improvement and enhanced honesty. Migration is simple — changing the API model ID to claude-opus-4-8 only requires one line of code.
● Large Enterprises and Platform Developers
Dynamic Workflows is currently limited to Enterprise, Team, and Max plans and still remains in Research Preview. It is recommended to conduct gradual testing on non-critical workloads first to validate token consumption and stability before wider deployment.
● Pure Terminal Automation Workflows
GPT-5.5 still leads Terminal-Bench 2.1 by 3.6 percentage points. If your core workflow relies heavily on pure CLI operations, real-world A/B testing is recommended before making a final decision.

IV. Claude Opus 4.8 Usage Recommendations

1.Pay Attention to Token Budgets

The default effort level has shifted from standard in Opus 4.7 to high in Opus 4.8, meaning each conversation now consumes more tokens by default. For low-complexity tasks such as simple Q&A or draft generation, lowering the effort level can reduce quota usage and improve response speed.
Parallel sub-agent workflows can also dramatically increase token consumption. Before launching large-scale tasks, run smaller tests first to verify expected behavior and avoid wasting large amounts of quota on unexpected outputs.

2.Improved Honesty Does Not Eliminate Errors

Opus 4.8 is better at marking uncertainty, but mistakes still happen. The key difference is that errors are less likely to be silently ignored. Human review should still remain part of critical code paths, with AI self-reporting treated as an additional safety layer rather than a replacement for QA processes.

3.How to Improve Code Stability

Set the effort level to xhigh or max so the model spends more time reasoning before responding. Break large projects into smaller tasks instead of asking the model to process thousands of lines at once. After code generation, ask follow-up questions such as “Are there any potential issues in this code?” — Opus 4.8 is now much more likely to answer seriously rather than dismissively.

4.How to Reduce Account Risk Controls

Avoid sending large volumes of repetitive or highly similar requests within short periods of time. Claude Code users should note that Dynamic Workflows and xhigh mode can quickly consume rate limits, so request frequency should be controlled carefully.
Frequent switching between network environments should also be avoided, especially repeated logins from IPs across multiple regions using the same account. A common solution is configuring a stable dedicated static residential proxy from professional proxy providers such as IPFoxy Proxies. Its dedicated static residential IPs are sourced from real residential networks and can help heavy Claude users maintain stable environments while reducing account risk-control issues and potential suspensions.

V. FAQ

Q: Is Dynamic Workflows available to all users?
Currently, it is in the Research Preview stage and only available for Claude Code Enterprise, Team, and Max plans. Free and Pro individual plans do not support it yet.
Q: Which is stronger, Claude Opus 4.8 or GPT-5.5?
Each model has its own strengths. Opus 4.8 leads in agentic coding (SWE-bench Pro 69.2%), computer interaction tasks (OSWorld 83.4%), and overall real-world work quality (GDPval-AA Elo 1890). GPT-5.5 still maintains an advantage in pure terminal coding workflows (Terminal-Bench 78.2% vs 74.6%) while offering lower output token costs.
Q: When will Anthropic’s Mythos model be released?
Anthropic has confirmed that the Mythos-class model will become available to all users “within weeks.” At the moment, access remains limited to selected enterprise partners.

VI. Conclusion

Claude Opus 4.8 is a meaningful iteration rather than a superficial version-number update. Its core value can be summarized in three areas: more honest code feedback with four times fewer silent misses, stronger agentic coding performance with a SWE-bench Pro score of 69.2%, and more flexible usage controls through cheaper Fast Mode pricing and the new effort-level slider.
Anthropic has also confirmed that the more powerful Mythos-class model will become available to all users within the coming weeks. In many ways, Claude Opus 4.8 feels like an acceleration step within a larger upgrade cycle — already worthwhile on its own, while even stronger models are still ahead.

Facebook Account Recovery Guide: 4 Types of Bans and How to Appeal Them

IPFoxy — Thu, 28 May 2026 09:50:50 +0000

Facebook account bans are one of the biggest headaches for eCommerce sellers and digital marketers. Whether it is a personal account, ad account, BM (Business Manager), or Facebook Page, any asset may suddenly get restricted or suspended.
This Facebook account recovery guide explains the main reasons behind different types of bans, how to evaluate whether an account can be restored, the correct appeal process, and the key strategies for preventing future bans. The goal is to help you recover your account assets and reduce long-term operational risks as much as possible.

I. Main Reasons Why Facebook Accounts Get Banned

Understanding why an account was banned is the first step toward choosing the right recovery strategy. Different account types trigger Facebook’s risk control system in different ways.

1.Personal Account Suspension

A personal account is the foundation of the entire Facebook asset structure. Once it is suspended, ad accounts and BM assets connected to it may also be affected.
Common reasons include:
● Abnormal login environment: Frequently switching IPs or using unstable proxy nodes may trigger Facebook’s account theft detection system;
● Incomplete or fake profile information: Blurry profile photos, using business information in a personal profile, or names that do not match identity documents;
● Suspicious behavior: Sending too many friend requests within a short period, posting repetitive content, or lacking normal engagement such as likes and comments;
● Multi-account association: Logging into multiple accounts from the same device or IP address.

2.Ad Account Disabled (Personal Ad Account / Business Ad Account)

Ad account restrictions usually fall into two categories: ad delivery access restricted while the personal account remains usable, or a full account ban requiring the personal account to be restored first.
Common causes include:
● Policy-violating ad content: Using prohibited creatives, exaggerated product claims, copyrighted images, or unauthorized background music;
● Misleading calls to action: Embedding fake “Shop Now” buttons inside ad creatives is explicitly prohibited by Facebook;
● Landing page issues: Broken links, mismatched content between ads and landing pages, or deceptive information;
● Payment problems: Declined cards, frequently changing payment methods, or payment methods registered in different countries.

3.BM (Business Manager) Restricted

BM is one of the most important assets for advertisers. Once restricted, all connected ad accounts may stop delivering ads.
Main reasons include:
● Two-factor authentication not enabled (mandatory by Facebook);
● Too many restricted ad accounts or high-risk personal accounts connected to the BM;
● BM admins themselves being flagged as high risk;
● Frequent cross-region logins or constant IP switching;
● Unverified business information or suspicious payment methods inside the BM.

4.Facebook Page Unpublished or Disabled

Pages are commonly restricted because of:
● Posting content that violates Facebook Community Standards;
● Receiving a large number of user reports;
● Excessive promotional content with little real engagement;
● Misleading page names or trademark infringement.

II. How to Determine Whether a Facebook Ban Can Be Recovered

After reading a Facebook recovery guide, the first thing you should do is not rush into filing appeals. You should first determine how serious the restriction is and whether recovery is realistically possible.

1.Common Restriction Messages Explained

2.Three Levels of Restriction Severity

Recoverable cases:
● Generic violation warnings without specific policy references (often false positives);
● Newly registered accounts banned for the first time;
● Security verification restrictions;
● Ad creative violations while the main account remains healthy.
High-risk cases:
● Violation notices containing specific policy clause numbers;
● Multiple failed appeals followed by another suspension;
● Ad account and BM suspended simultaneously;
● Payment information flagged as fraudulent.
Difficult-to-recover cases:
● Notifications stating “This decision is final”;
● Severe violations involving hate speech, scams, or child safety issues;
● Accounts permanently disabled for more than 180 days with repeated failed appeals.

III. How to Appeal a Facebook Ban

Using the correct appeal method is critical for Facebook account recovery. Different account types have different appeal portals and procedures.
1.Personal Account Appeal
● Click the “Review” or “Appeal” button directly on the suspension notice page;
● If phone verification is required, ensure your linked phone number can receive SMS codes;
● If identity verification is requested, upload a clear photo of your government-issued ID matching your account information;
● If the account still cannot be restored, submit an email appeal through Facebook’s official appeal page with proof of ownership and identification documents;
● Trusted friend verification: If trusted contacts are enabled, friends can help verify your identity with security codes.
2.Ad Account Appeal
● Enter the BM dashboard → “Account Quality” → select the restricted ad account → click “Request Review”;
● If entering through Ads Manager, click the appeal link shown in the account status notification;
● Your appeal statement should include account usage details, ad content explanations, and confirmation that policy-violating creatives have been corrected.
3.BM (Business Manager) Appeal
● Log in to BM → open the “Account Status” page → click “Request Review” (only BM admins can perform this action);
● If the button is grayed out, complete business verification first by uploading company documents;
● You may also use Facebook’s official appeal portal directly;
● A proper appeal template should contain three parts: identity confirmation (I am the admin of BM ID XXX), issue explanation, and corrective actions already taken.
4.Facebook Page Appeal
Go to Page → Settings → Page Status → click “Request Review.”
If the Page was restricted because of policy violations, it is recommended to delete the violating posts before submitting the appeal.
5.How Long Does Recovery Take?
● Personal accounts: New accounts are often reviewed within 48 hours, while older or repeatedly restricted accounts may take 7–14 days or even up to 60 days in extreme cases;
● Ad accounts / BM: Facebook officially estimates 1–5 business days, though actual timing depends on violation severity;
● Recommendation: Save your appeal case number after submission for future follow-up. Avoid repeatedly submitting appeals during the review period, as this may lower priority.

IV. How to Prevent Facebook Account Bans

Prevention is always more effective than recovery. The following strategies are among the most overlooked but most important parts of any Facebook account recovery guide.

1.Maintain a Stable Network Environment

Facebook detects suspicious activity through IP location consistency, login frequency, and behavioral patterns. The same account should ideally always log in from the same region.
Avoid frequently switching nodes or using unreliable free proxies. Stable, high-quality residential proxies are strongly recommended. Many professional multi-account teams use IPFoxy Proxies’ high-purity dedicated static residential proxy services to better simulate real user activity patterns and reduce the risk of Facebook risk-control detection.

2.Isolate Account Environments

Device and browser isolation:
Different accounts should never share the same device or browser environment. A common solution is using an anti-detect browser such as AdsPower to create separate virtual browser environments.
IPFoxy Proxies supports integration with anti-detect browsers to provide stable account environments while isolating cookies, local storage, and browser fingerprints. This creates a virtual one-account-per-device-per-IP setup and minimizes account association risks.

BM asset structure isolation:
Ad accounts from different business lines should be separated into different BMs whenever possible. High-risk categories should be fully isolated from core operational accounts.

3.Account Warm-Up Strategy

Do not run ads immediately after registering a new account.
It is recommended to spend 7–14 days performing natural account activity such as completing profile information, adding real friends, browsing feeds, and interacting normally before
connecting ad accounts.

4.Control Advertising Activity Pace

New ad accounts should start with conservative daily budgets and gradually increase spending over time.
Avoid creating large numbers of campaigns or ad sets within short periods. Regularly review ad creatives and landing pages to ensure compliance with the latest Facebook advertising policies.

5.Payment Management

Use payment methods registered in the same country as the account;
Avoid frequently changing credit cards;
Maintain sufficient account balance to prevent failed payments from triggering risk controls;
Business accounts are recommended to use corporate credit cards.

V. FAQ

Q1: Can I submit another appeal after being rejected?
A: Yes, but it is recommended to wait at least 7 days and provide new supporting documents or corrective explanations instead of resubmitting identical content.
Q: If a BM is banned, can the ad accounts under it still be kept?
A: After a BM is restricted, connected ad accounts usually stop delivering ads, but account data is typically still accessible. Once the BM is successfully restored, the ad accounts can usually resume operation.
Q: Can I register a new personal account after a permanent ban?
A: Facebook policy does not allow individuals to own multiple personal accounts. Registering a new account after a permanent suspension carries a very high association risk. It is recommended to completely reset the device environment and maintain proper account isolation before attempting again.

VI. Conclusion

The core logic behind Facebook account recovery comes down to two things: accurate judgment and evidence-based appeals.
If your account gets suspended, do not panic. First review the restriction notice, evaluate the recovery probability, and then follow the correct appeal process based on the account type.
More importantly, long-term account safety depends on maintaining proper environment isolation, stable IP usage, and compliant advertising practices. These are the key factors for reducing suspension risks and protecting account assets over time.
Hopefully this Facebook account recovery guide helps you resolve suspension issues quickly and better protect your digital marketing assets.

Reddit Account Banned Again? The Ultimate Guide to Reddit Ban Inspection & Solutions

IPFoxy — Thu, 28 May 2026 06:02:55 +0000

As the world's largest hub for discovering overseas trending products and a massive traffic pool, Reddit is a "must-contest terrain" for cross-border e-commerce, independent stations, and global marketers. However, Reddit is also notorious for its strict risk control. Many cross-border sellers often encounter this: a newly registered account gets banned after posting just a few pieces of content, or even worse, several consecutive accounts get "instantly killed" upon switching.

Don't panic! Today, IPFoxy brings you the ultimate guide to Reddit ban inspection and solutions. We'll take you deep into the underlying logic of Reddit's risk control so you can say goodbye to the account banning nightmare once and for all.

1. 5 Warning Signs That Your Reddit Account Is Banned

How do you know if something is wrong with your account? If you run into any of the following situations, your account is likely red-flagged:

A. Unable to Log In: When attempting to log in, the page directly flashes a cold error message: "Your account has been permanently suspended."

B. Restricted Posting or Commenting: You can browse normally, but the moment you try to post or comment, you receive: "Your account has been suspended from posting or commenting."

C. Automatic Content Deletion (Instant Shadow-Deletion): The posts you publish look perfectly fine to you. However, when you switch to incognito mode or view them from another account, the content vanishes instantly, displaying [removed] or [deleted].

D. Official Reddit Notifications: You receive a private message in your Inbox from "Reddit" official or "Subreddit Mods," explicitly informing you that your account has been banned due to a violation of community guidelines.

E. Restricted Access to Specific Subreddits: You can no longer access a community you used to be active in. Clicking on it yields a prompt: "You are banned from this subreddit."

2. Reddit Ban Reasons: Decoding the Underlying Risk Control Mechanism

Many global marketers find Reddit bans rather mysterious, but they aren't. Reddit's underlying risk control is not a simple "one-size-fits-all" hammer; instead, it utilizes a highly sophisticated "multi-dimensional scoring system" to evaluate an account's Trust Score in real time.

Core Scoring Dimensions Include:

Account Age: New accounts (often called "fresh accounts") are naturally in a high-risk probation window.
Karma History: The ratio and accumulation speed of your Post Karma and Comment Karma. Accounts with zero Karma hold zero authority.
CQS (Contributor Quality Score): This is a hidden metric used by Reddit officials to evaluate account health. High-CQS accounts pass the spam filters much more easily.
Behavior Pattern: Are you mass-posting at a high frequency in a short period? Did you start spamming internal links right after registration?
IP and Device Environment: Is the login IP clean? Is there a device hardware correlation across multiple accounts?
Reports and Spam History: Has your content been frequently flagged or reported by real users or subreddit moderators?

In essence, more often than not, you aren't banned outright; you are being "shadow-demoted" by the system.

Here is an in-depth breakdown of the different ban types and their corresponding solutions:

A. Subreddit Ban

You have been blacklisted by the moderators of a specific community (e.g., r/gaming, r/shopify), but you can still post and comment normally in other subreddits.

Reason: 90% of the time, it's due to a violation of that specific subreddit's Rules. Examples include hard-selling, irrelevant content, flame-baiting, or your Karma failing to meet the community's minimum posting threshold.

Solution:

Carefully review the Sidebar Rules on the right side of that Subreddit.

If you believe it was a false positive, click "Message the Mods" to send a polite appeal. Acknowledge any oversight and promise to comply; moderators usually have the power to lift the ban for you.

B. Temporary Ban

The platform has placed a "gag order" on your account, typically lasting for 3, 7, or 14 days.

Reason: Minor infractions. For example, mild upvote manipulation (vote-brigading), accidentally posting content flagged as spam, or engaging in mild toxic behavior with other users.

Solution:The best approach is to simply "wait it out." During the suspension period, never attempt to use an alt account to speak on behalf of your main account (this is flagged as Ban Evasion, which will trigger a permanent chain-ban across all your accounts). Wait patiently until the suspension expires, and your account functionality will restore automatically.

C. Permanent Ban

Your account is completely dead. You can no longer post, comment, or interact in any capacity.

Reason: Severe violations. This includes but is not limited to: mass spamming advertisements, purchasing fake upvotes, posting prohibited goods/services, or repeatedly using alt accounts to bypass a temporary ban.

Solution:

Visit the official Reddit appeal channel: reddit.com/appeal.

Keep your appeal sincere. Explain that you are a genuine user, that the violation occurred due to a misunderstanding of the policies, and express your appreciation for the community. Note: You generally only get 1 or 2 solid chances to appeal an account.

*D. Shadowban
*
Commonly known as a "stealth ban." You can log in, post, and comment normally—everything looks fine on your screen. However, you are a "ghost" to everyone else. Your posts are instantly [removed], and when others click on your profile, it says "page not found."

Reason: You triggered Reddit's Anti-Spam Filter. This is usually caused by poor IP quality, a dirty device environment, or behavior that mimics automated bots.

Solution:

First, open your profile link (reddit.com/user/YourUsername) in an Incognito window to confirm if you are indeed shadowbanned.

Go to reddit.com/appeal to file an appeal. As long as you weren't flagrantly spamming malicious links, shadowbans are widely known to have the highest appeal success rate.

E. IP Ban

Reddit blocks your current network IP address entirely.

Reason: Too many spam accounts logged in under the same IP, or the IP itself was involved in malicious activity (such as bulk automated registrations or aggressive comment farming).

Solution:

Stop using the current network node immediately. You must switch to a highly anonymous, clean, and dedicated proxy network. Otherwise, any new accounts registered on the tainted IP will "die at birth."

F. Feature Ban

Your account itself is fine, but a specific feature (such as sending Chat DMs, creating a new Subreddit, or including outbound links in posts) is locked down.

Reason: Your account authority is too low (the account is too new, or your Karma is insufficient), prompting the system's automated anti-spam defenses to restrict features.

Solution: Spend time in low-threshold communities (like r/AskReddit) engaging in genuine, high-quality comment interactions to naturally accumulate Comment Karma. Once your Karma structure improves, these features will unlock automatically.

3. Reddit Bans: Why "Switching to a New Account" Doesn't Work？

When a primary account gets banned, a typical marketer's first reaction is: "No big deal, I'll just sign up for a new one or buy an aged account."

However, our experience shows a frustrating pattern: the new account gets banned within 10 minutes of logging in. Sometimes, it even takes down other healthy accounts sharing the same device.

Why does this happen?

The core reason is that Reddit has already logged your "fingerprint"—not just your account credentials, but your IP address, device hardware, browser configuration, and even your behavior patterns. When your previous account was banned for a violation, your hardware parameters (such as browser cookies, OS, screen resolution, timezone, language) along with your low-quality IP were blacklisted by Reddit. If you log in using that exact same environment, Reddit immediately recognizes the footprint: "Ah, it's the banned user wearing a new mask," and swiftly triggers a chain-ban.

Solution:

To ensure that "switching accounts" actually works, you must execute three steps simultaneously:

Completely Sanitize Your Environment: Clear browser cookies, or ideally, utilize an anti-detect/fingerprint browser to isolate environments.
Deploy Clean Proxies: Ditch free proxies or cheap datacenter IPs, and configure high-quality proxies into your anti-detect browser profiles.
Mimic Organic User Behavior: Let new accounts warm up by browsing for a few days before scaling up interactions.

For multi-account operators or marketing teams whose IPs have previously triggered bans, we highly recommend using IPFoxy's clean, dedicated Residential Proxies.

IPFoxy provides genuine ISP IPs sourced directly from overseas home broadband networks. Every single IP is dedicated and completely unpolluted. Because residential proxies are never flagged as datacenter/machine traffic by Reddit, they dramatically lower the probability of your new accounts getting shadowbanned or IP-blocked. Furthermore, IPFoxy seamlessly integrates with all major anti-detect browsers to create fully isolated environments, completely shattering the "switching accounts is useless" loop.

4. Frequently Asked Questions (FAQ)

Q1: How can I check my CQS (Contributor Quality Score)?

A: Reddit does not display this score directly on your profile. However, you can go to the subreddit r/WhatIsMyCQS and create a test post. An automated system bot will reply with your current CQS tier (Highest, High, Moderate, Low, Lowest). If your tier is Low, pause your marketing efforts immediately and warm up your account first.

Q2: How should I warm up a newly purchased or freshly registered Reddit account?

A: For the first 3 to 7 days, stick strictly to browsing and upvoting. Do not post threads, and absolutely do not include outbound links. Head over to default, low-barrier communities (like r/funny or r/pics) to leave genuine, humorous comments to naturally build up your initial Comment Karma. Also, complete your profile and verify your email, as this drastically boosts your baseline trust score.

Q3: How many Reddit accounts can I safely log into with a single IP?

A: For an average organic user, toggling between 2 or 3 accounts on a single network is perfectly normal. However, for commercial marketing purposes, it is strongly recommended to maintain a strict 1:1 ratio—one IP per account. Using IPFoxy in tandem with an anti-detect browser for meticulous 1-IP-1-Account isolation is the safest strategy to prevent bans.

5. Summary

Sourcing global traffic on Reddit boils down to one core philosophy: "Comply with the rules, and behave like a human." Reddit does not hate commercial content; it hates mindless bot spamming and low-quality marketing that disrupts its community ecosystem.

Once you master Reddit's six major risk-control dimensions, build your Karma via proper engagement, and leverage IPFoxy's residential proxy to cut off underlying device and IP tracking, your accounts will remain rock solid. You'll be fully equipped to tap into the massive ocean of Reddit traffic and scale your global growth flawlessly!

Best ASOS Proxies in 2026: Complete Guide to Residential & ISP Proxies

IPFoxy — Wed, 27 May 2026 12:21:40 +0000

As one of the world’s largest fashion eCommerce platforms, ASOS is not only a hub for fashion enthusiasts, but also a key marketplace for cross-border sellers, resellers, sneaker buyers, and data analysts.

However, many users encounter issues such as 403 Forbidden errors, frequent CAPTCHA challenges, or even direct IP bans when accessing ASOS, managing multiple accounts, or using automation tools like bots and scraping scripts.

Why does ASOS have such strict anti-bot protection? Why are traditional datacenter proxies becoming increasingly ineffective, while residential proxies and static ISP proxies have become the preferred solution? This article explains the reasons behind ASOS risk control systems and explores the most reliable proxy solutions in 2026.

I. What Is ASOS & Why Does It Require High-Quality Proxies?

ASOS is one of Europe’s largest online fashion retailers, offering clothing, accessories, sneakers, and beauty products across multiple global regions. Because of its fast product updates and major seasonal discounts, the platform attracts millions of real users every day.

At the same time, its enormous traffic and commercial value also make it a major target for bulk registrations, inventory abuse, price-monitoring crawlers, and automated activities.

To prevent abuse, fraudulent orders, inventory manipulation, and malicious attacks, ASOS uses highly advanced anti-bot and anti-automation systems such as Akamai and PerimeterX.

As one of the strictest eCommerce platforms in terms of risk control, ASOS continuously analyzes several important signals in the background:

IP reputation and ASN detection: ASOS checks the ASN of incoming traffic. If an IP belongs to cloud hosting providers such as AWS or DigitalOcean, it may immediately be identified as non-human traffic.
Browser fingerprinting and TLS signatures: The platform compares TLS/JA3 fingerprints, Canvas fingerprints, and browser User-Agent consistency. Automation tools like Puppeteer or Selenium without proper masking are often detected quickly.
Geolocation consistency: ASOS compares the IP location, browser language, DNS region, and account registration country. Large inconsistencies may trigger security restrictions.
Request frequency and behavior patterns: Real users naturally pause, scroll, and interact with pages. High-frequency requests from a single IP can be rate-limited within seconds.

II. Common ASOS Proxy Use Cases in 2026

In the 2026 cross-border eCommerce environment, high-quality proxies have become essential infrastructure for automation, account management, and data operations.

1. Multi-Account Management

ASOS limits the number of accounts associated with a single environment. For resellers, purchasing teams, and eCommerce sellers, managing multiple accounts is often necessary to reduce operational risks and improve purchasing efficiency.

Dedicated proxies help assign a separate network identity to each account, reducing account-linking risks.

2. Sneaker Bots & Limited Product Drops

ASOS frequently releases limited-edition sneakers, fashion collaborations, and high-demand products. Because inventory is extremely limited, manual purchasing is often impossible during major releases.

Automation bots require large numbers of fast, clean proxies to submit concurrent checkout requests and improve success rates.

3. Regional Price Monitoring

ASOS operates multiple regional stores, including UK, US, and EU versions, each with different pricing systems, promotions, and clearance discounts.

Sellers and analysts often need geo-targeted proxies to collect accurate regional pricing data. Since ASOS aggressively blocks repeated requests from the same IP, residential proxies are usually required for stable monitoring.

4. Data Collection & Scraping

Fashion retailers and analytics companies frequently collect ASOS product trends, reviews, inventory changes, and pricing updates through automated scraping systems.

Large proxy pools help distribute requests and reduce the risk of rate limits or IP bans during high-frequency scraping tasks.

III. Best ASOS Proxy Solutions in 2026: Residential vs ISP Proxies

To reduce the chances of detection on ASOS, the key principle is simple: make every request appear like normal traffic from a real home internet user.

Residential Proxies

Residential proxies route traffic through real household broadband networks. Their biggest advantage is a large rotating IP pool. IPs can automatically rotate every request or at scheduled intervals, making them highly effective for scraping, monitoring, and large-scale automation.

Because these IPs come from real ISPs, ASOS is far less likely to block them.

ISP Proxies

Static ISP proxies combine the speed of datacenter networks with the trust level of residential IPs.

Their biggest advantages include fixed IP addresses, stable long-term sessions, and unlimited traffic options. They are especially suitable for long-term account management, stable logins, and checkout operations.

For high-risk ASOS operations, choosing a stable proxy infrastructure is critical.IPFoxy provides high-purity residential proxies, static ISP proxies, and mobile proxies designed for large-scale eCommerce automation, account management, and data collection scenarios.

IV. How to Reduce ASOS Blocks & CAPTCHA Challenges

Besides using high-quality proxies, proper operational practices can also significantly reduce the chances of triggering ASOS risk-control systems.

1. Reduce Request Frequency

When running scraping or monitoring scripts, request concurrency should be carefully controlled. Sending too many requests in a short period can quickly trigger rate limits.

Adding random delays between requests helps simulate normal human browsing behavior.

2. Clear Cookies & Browser Cache

Once an IP becomes flagged by ASOS, associated browser cookies and local storage data may also be considered suspicious.

Before switching to a new IP, it is recommended to completely clear cookies and browser cache, or use isolated browser environments through antidetect browsers.

3. Rotate High-Quality Residential IPs

Frequent CAPTCHA challenges or repeated loading failures usually indicate declining IP reputation.

At this stage, switching to fresh residential IPs can greatly improve stability. Many professional teams combine residential or ISP proxies with antidetect browsers like AdsPower to isolate both network and browser fingerprints.

4. Maintain Regional Consistency

ASOS places significant importance on environmental consistency.

The account registration country, proxy location, browser language, and timezone settings should all remain aligned. For example, when accessing the UK version of ASOS, it is recommended to use a UK residential or ISP proxy together with en-GB language settings and a Europe/London timezone.

V. FAQ

Q1: Does ASOS block proxy IPs?

Yes. Low-quality datacenter proxies are frequently blocked and often trigger 403 Forbidden errors or continuous CAPTCHA verification.

Q2: Why does checkout still fail even when using residential proxies?

Checkout failures are usually caused by unstable IP sessions or mismatched billing information and IP regions.

For checkout and long-term account usage, using the same static proxy throughout the session is strongly recommended.

Q3: Are residential proxies significantly better than datacenter proxies for ASOS?

Yes. Datacenter IPs are much easier for ASOS to identify through ASN detection, while residential proxies carry legitimate ISP network attributes and generally achieve much higher success rates on eCommerce platforms.

VI. Conclusion

With ASOS using increasingly advanced anti-bot and anti-automation systems, relying on traditional datacenter proxies or unstable network environments is no longer effective for large-scale eCommerce operations.

High-quality residential and ISP proxies can help reduce 403 blocks, CAPTCHA interruptions, account restrictions, and checkout failures, making cross-border eCommerce and data collection operations far more stable and efficient in 2026.

2026 Best Codex Skills: 10 Must-Have Skills to Boost AI Coding Efficiency

IPFoxy — Wed, 27 May 2026 10:29:28 +0000

OpenAI Codex is one of the most powerful AI coding agents available today, but its real potential is not determined by the model alone — Codex Skills are what truly unlock advanced workflows and productivity. This article recommends 10 of the best Codex Skills for 2026 based on popularity and practical value, along with suggested Skill combinations for different development scenarios, helping developers find the setup that best fits their workflow.

I. What Are Codex Skills?

Codex Skills are instruction packages centered around a SKILL.md file. Each Skill directory contains a SKILL.md file and optional helper scripts. When Codex starts, it reads the names and descriptions of all installed Skills (using only about 2% of the context budget). During a task, the system automatically matches and loads the relevant Skill instructions. If no Skill matches, it consumes no additional context, making the system highly efficient.

The Skill format is an open standard. The same SKILL.md file can work across multiple AI coding tools without modification, including Codex CLI, Claude Code, Gemini CLI, Cursor, and GitHub Copilot.

Skills can be stored in three scopes:

Skills can be triggered in two ways: explicit invocation (typing $skill-name in the CLI) or implicit activation (automatically triggered when the task matches the Skill description).

Since official Skills support launched in December 2025, the ecosystem around the openai/skills repository (19.3k+ GitHub stars) has grown rapidly.

II. 10 Must-Have Codex Skills for 2026

1.create-plan (Execution Planning)

Forces Codex to break down tasks and generate an executable plan before writing code. Suitable for all developers, especially medium-to-large projects involving multiple files and modules. It helps avoid chaotic “prompt-first coding” and reduces rework, making it one of the simplest yet most practical Codex Skills available.

Source: github.com/openai/skills/tree/main/skills/.curated/create-plan

2.gh-fix-ci (Automatic CI/CD Failure Diagnosis)

Reads failed GitHub Actions logs, summarizes the root causes, and suggests fixes automatically. Ideal for backend, full-stack, and DevOps developers who frequently use GitHub Actions. It can reduce CI troubleshooting from 20 minutes to just a few seconds.

Source: github.com/ComposioHQ/awesome-codex-skills/tree/master/gh-fix-ci

3.frontend-skill (Better Frontend UI Generation)

Encodes design standards and component styling into prompts so Codex can generate more visually polished frontend interfaces. Best suited for frontend developers and indie developers. It pairs especially well with figma-implement-design to cover the full workflow from design mockups to production-ready code.

Source: github.com/openai/skills/tree/main/skills/.curated/frontend-skill

4.webapp-testing (Automated Web Testing)

Runs automated testing for web applications and summarizes the results in reports. Ideal for full-stack developers and QA engineers. It automatically detects the testing framework and generates test cases consistent with the existing project style, reducing cleanup work.

Source: github.com/ComposioHQ/awesome-codex-skills/tree/master/webapp-testing

5.mcp-builder (High-Quality MCP Server Builder)

Guides developers through a four-stage workflow — planning, implementation, evaluation, and optimization — to build MCP Servers following best practices. Designed for developers building AI infrastructure and toolchains. It includes a built-in evaluation framework to verify output quality and reliability.

Source: github.com/ComposioHQ/awesome-codex-skills/tree/master/mcp-builder

6.composio-connect (Connect 1000+ External Services)

Uses the Composio CLI to integrate Codex directly with more than 1,000 popular services, including GitHub, Notion, Slack, and Linear. Best suited for teams building cross-platform automation workflows. A single Skill unlocks hundreds of integrations without configuring each service individually.

Source: github.com/ComposioHQ/awesome-codex-skills/tree/master/connect

7.cli-creator (Reusable CLI Tool Generator)

Packages repetitive commands, scripts, or API calls into reusable CLI tools compatible with the Codex ecosystem. Ideal for backend developers and infrastructure engineers. The generated CLI tools support PATH execution, stable JSON output, health checks, and include reusable Skills for future workflows.

Source: github.com/openai/skills/tree/main/skills/.curated/cli-creator

8.security-threat-model (AI-Assisted Security Threat Modeling)

Guides Codex to systematically analyze repository security risks, trust boundaries, and attack paths. Best suited for backend and full-stack teams focused on security compliance. It turns threat modeling into a repeatable workflow and generates documentation suitable for technical reviews or compliance processes.

Source: github.com/ComposioHQ/awesome-codex-skills/tree/master/security-threat-model

9.figma-implement-design (Figma to Production Code)

Reads Figma designs and converts them into near-production frontend code. Best for frontend teams working closely with designers. It is highly recommended to combine it with frontend-skill: one improves design accuracy, while the other enhances visual quality.

Source: github.com/openai/skills/tree/main/skills/.curated/figma-implement-design

10.Superpowers (Advanced Agent Workflow Enhancement)

Adds a complete engineering workflow layer to Codex, including requirement clarification, plan approval, TDD implementation, parallel sub-agent execution, and validation workflows. Suitable for developers who want Codex to behave more like a disciplined software engineer. It is currently one of the most starred AI coding workflow Skills on GitHub and emphasizes TDD, YAGNI, and DRY principles. Codex App users can install it directly from Plugins → Coding.

Source: github.com/obra/superpowers

III. Recommended Codex Skills Combinations for Different Development Scenarios

Mastering individual Codex Skills is useful, but combining Skills strategically delivers the best results in real-world development. Below are recommended setups for common development scenarios.

1.Fast Product Prototyping for Indie Developers

Recommended stack: create-plan + frontend-skill + figma-implement-design + Superpowers

Workflow logic: Plan first, then implement. Superpowers manages the workflow rhythm, frontend-skill improves UI quality, and figma-implement-design converts mockups into usable code. This minimizes manual corrections during development.

Note: figma-implement-design works best when Figma layers and components are well organized. Cleaner design files produce better code output.

2.Team Collaboration + CI/CD Maintenance

Recommended stack: gh-fix-ci + webapp-testing + security-threat-model

Workflow logic: CI failures are automatically diagnosed, automated testing ensures quality, and threat modeling covers security and compliance requirements. Together, they form a complete quality assurance system for team development.

Note: When automation workflows frequently call external APIs or GitHub interfaces, rate limiting or IP bans can disrupt the entire pipeline. This issue is commonly addressed using rotating residential proxies from professional providers such as IPFoxy Proxies, allowing each automated request to use a clean exit IP and improving the success rate of CI/CD and testing workflows.、

3.AI Toolchain / MCP Infrastructure Development

Recommended stack: mcp-builder + cli-creator + composio-connect

Workflow logic: mcp-builder creates reliable MCP Servers, cli-creator packages repetitive operations into reusable tools, and composio-connect integrates external services. This setup is ideal for teams building internal AI platforms or toolchains.

Note: After building an MCP Server with mcp-builder, it is recommended to validate tool-calling behavior in a local sandbox environment before exposing it publicly or integrating it into production workflows.

4.All-in-One Development Environment (Recommended Default Setup for Beginners)

Recommended stack: Superpowers + create-plan + gh-fix-ci + frontend-skill + composio-connect

This setup covers four high-frequency needs: planning, CI workflows, frontend generation, and external integrations. It is ideal for developers who are unsure where to start with Codex Skills.

Note: As the number of installed Skills grows, regularly review the ~/.agents/skills/ directory and remove unused Skills to keep Codex startup indexing lightweight and organized.

IV. How to Install Codex Skills in 2026

1.Official Built-In Installer

Type $skill-installer in a Codex session and follow the prompts to install Skills from the official openai/skills repository.

2.Clone Community Repositories

git clone https://github.com/ComposioHQ/awesome-codex-skills.git

Then use the Composio installer script to install a specific Skill:

python skill-installer/scripts/install-skill-from-github.py \
--repo ComposioHQ/awesome-codex-skills --path gh-fix-ci

3.Manual Local Installation

Suitable for installing any individual Skill from GitHub:

Personal scope (available across projects)

git clone https://github.com/obra/superpowers ~/.agents/skills/superpowers

Project scope (shared within repositories)

git clone .agents/skills/

4.Codex App Plugin Marketplace

Some Skills, such as Superpowers, are already available in the Codex App plugin marketplace. Open the sidebar, click Plugins, and search to install directly.

After installation, restart Codex or start a new session for the Skills to take effect automatically. For Skills installed directly from GitHub, it is recommended to review the SKILL.md file before use to ensure security and reliability.

V. FAQ

Q: Are Codex Skills compatible with Claude Code Skills?

A: Yes. SKILL.md is a cross-platform open standard and works directly across Codex, Claude Code, Gemini CLI, Cursor, and similar tools without modification.

Q: A Skill is installed but not loading. How can I troubleshoot it?

A: Restart Codex or start a new session. Check whether the directory contains a SKILL.md file and confirm the path is under ~/.agents/skills/ or the project-level .agents/skills/ directory.

Q: How do I create custom Codex Skills?

A: Type $skill-creator in a Codex session. This built-in OpenAI system Skill generates SKILL.md files automatically through an interactive Q&A workflow, so manual writing is unnecessary.

VI. Conclusion

The Codex Skills ecosystem in 2026 now covers nearly every major stage of the software development workflow. All the Skills recommended in this article support cross-agent compatibility, meaning a single installation can benefit multiple AI coding tools at the same time.

At their core, Codex Skills transform your development experience into reusable instructions, allowing AI to truly understand and adapt to your workflow.

2026 PayPal Account Limitation Guide: Causes, Appeals & Prevention Tips

IPFoxy — Tue, 26 May 2026 10:07:40 +0000

As the world's most widely used online payment platform, PayPal account limitations remain a major concern for sellers and users alike. Whether you are an e-commerce seller, independent website operator, or ordinary user, once your PayPal account gets limited or suspended, the consequences can range from months-long fund freezes to permanent account loss.

This article systematically explains the latest 2026 PayPal account limitation causes, account restriction levels, appeal and recovery methods, and practical prevention strategies to help you minimize the risk of account suspension or efficiently recover after a limitation occurs.

I. Common Reasons for PayPal Account Limitations

Before learning how to prevent PayPal account suspensions, it is important to understand why accounts get flagged in the first place. PayPal's risk control system covers multiple dimensions:

IP address issues: Frequently switching nodes, using datacenter IPs, or free IP ranges can trigger risk controls;

Multi-account association: Using the same device, IP, or bank card for multiple accounts may cause PayPal to detect linked accounts and suspend them in batches;

Abnormal fund activity: Sudden spikes in transaction volume or received payments that differ significantly from historical behavior;

High dispute or refund rates: Excessive buyer complaints or chargebacks are common causes of seller account suspensions;

Selling prohibited or infringing products: Accounts involving counterfeit goods, weapons, or restricted products face stricter monitoring;

Incomplete identity verification: Newly registered accounts that fail to complete KYC verification promptly are more likely to be restricted.

II. PayPal Account Limitation Levels

PayPal account restrictions are generally divided into four levels. Different levels require different recovery solutions, so it is important to first determine which type of limitation your account falls under.

Level 1: Basic Warning

The account remains fully functional for sending and receiving payments, but a warning notification appears requesting additional documents for verification. This is the mildest risk-control status. It is strongly recommended to respond within 24 hours, otherwise the restriction may escalate.

Level 2: Functional Limitation (Withdrawal/Payment Restricted)

The account can still receive payments, but withdrawals, payments, or refunds are temporarily disabled. At this stage, PayPal usually requires transaction records, shipping details, and related documents. Review times typically range from 3 to 5 business days.

Level 3: Account Access Limited

Users can still log in and view balances or transaction history, but core payment functions are restricted. In this case, users need to enter PayPal's Resolution Center and submit appeal documents step by step. The process is usually more complex and takes longer to resolve.

Level 4: Permanent Freeze / 180-Day Hold

This is the most severe restriction level. Account funds are frozen for 180 days. During this period, users can only withdraw remaining funds but cannot send or receive payments. After the 180-day period ends, remaining funds are usually withdrawable, but the account itself is effectively permanently banned. Accounts involving prohibited products or repeated serious violations may be directly escalated to this stage.

III. How to Appeal a PayPal Account Limitation (With Email Template)

After checking the suspension reason in PayPal's official email, you can prepare supporting documents such as identity verification, transaction records, shipping information, bank statements, or payment proof before contacting PayPal support.

There are three common appeal methods:

Online submission: Upload documents directly through the Resolution Center;
Phone support: Contact PayPal customer service and request manual review;
Appeal email: Send an official appeal email explaining the situation.

Reference template:

Dear PayPal Trust and Safety Team,

I am writing to appeal the current limitation placed on my PayPal account ([Account Email]).

I understand that my account has been flagged due to [possible reason, such as unusual transaction activity / unverified identity]. I sincerely apologize for any concern this may have caused, and I am fully committed to cooperating with your review process.

To support my appeal, I have attached the following documents:

Government-issued ID (front and back)

Order records and tracking information

Supplier invoices / purchase records

I kindly request that your team review my account at the earliest convenience. I value my PayPal account and assure you that all my transactions comply with PayPal's Acceptable Use Policy.

Thank you for your time and assistance.

Sincerely,

[Your Name]

[Account Email]

[Contact Number]

IV. 2026 PayPal Account Suspension Prevention Guide

Preventing account limitations is far more important than appealing after suspension. Below are some of the most practical PayPal prevention strategies in 2026.

1.Maintain a Stable Network Environment

This is one of the most important PayPal account protection practices.

Always log into the same account using the same IP whenever possible;
Disable browser WebRTC to prevent real IP leakage;
Avoid datacenter IPs that may already be flagged as high-risk by PayPal's risk-control system.

A real and exclusive dedicated static residential proxy can help reduce account limitation risks. For example, many teams choose IPFoxy Proxies dedicated static residential proxy services, which provide native residential IP resources from multiple countries and regions supported by PayPal, helping users create a stable account environment and reduce platform risk detection.

2.Warm Up Newly Registered Accounts

Do not immediately conduct large transactions after registering a new PayPal account.

Recommended practices include:

Complete KYC verification and bind a real phone number and bank card/credit card after registration;
Maintain low-frequency and low-value transactions during the first 2 to 4 weeks to gradually build account credibility;
New accounts commonly experience a 21-day payment hold, which is part of PayPal's normal mechanism;
Log into the account regularly to avoid long-term inactivity.

3.Operate Compliantly and Avoid High-Risk Categories

Carefully review PayPal's Acceptable Use Policy to ensure products are compliant;
Mainland China accounts should avoid transactions involving cryptocurrency or gambling;
Keep dispute and refund rates low, ideally maintaining chargeback rates below 1%;
Always use trackable shipping methods and upload tracking numbers promptly.

4.Plan Withdrawal Frequency and Amounts Carefully

Avoid withdrawing all funds immediately after receiving payments, as this may appear suspicious;
Keep a reasonable balance in the account and withdraw funds gradually;
Mainland China accounts should pay attention to the annual USD 50,000 withdrawal limit and plan ahead;
Prepare transaction source documents in advance if account turnover increases significantly.

5.Avoid Multi-Account Association

Avoid linking multiple PayPal accounts to the same device fingerprint, IP, or bank card whenever possible;

If managing multiple accounts is necessary, use separate devices and isolated network environments. Many users also combine dedicated static residential proxy services from IPFoxy Proxies with an Anti-detect browser such as AdsPower to isolate account environments.

V. FAQ

1.Can I still withdraw money after my PayPal account is suspended?

In most cases, yes. Even if the account is suspended, remaining funds are usually still withdrawable. During the freeze period, users can only withdraw funds and cannot send or receive payments. After the 180-day freeze ends, the remaining balance can generally be transferred back to the linked bank account.

2.What if multiple appeals are rejected?

If repeated submissions fail, try providing additional transaction evidence or contact official customer support for manual review. If the account clearly violated platform rules, the success rate of appeals will decrease significantly.

3.Can I register a PayPal account using a datacenter IP?

Strongly not recommended. Many datacenter IP ranges have already been flagged by PayPal's risk-control database, resulting in very low registration success rates and a high likelihood of account suspension. For stable long-term use, dedicated static residential proxy solutions are strongly preferred.

VI. Conclusion

PayPal account limitations are not impossible to prevent, nor are they unsolvable. If your account gets suspended, calmly identify the corresponding limitation level outlined in this guide, prepare the appropriate appeal materials, and actively communicate through official channels. Most Level 1 to Level 3 restrictions still have a chance of recovery.

Long-term account stability ultimately depends on maintaining a compliant operating strategy and implementing reliable PayPal account protection practices.

2026 Mercado Libre Seller Guide: Store Setup Process and Sales Growth Strategies

IPFoxy — Mon, 25 May 2026 11:22:33 +0000

The Latin American e-commerce market is experiencing rapid growth. As the largest e-commerce marketplace in Latin America, Mercado Libre operates across 18 countries and regions with more than 200 million monthly active users, earning the nickname “the Amazon of Latin America.” As competition in the US and European e-commerce markets intensifies, more sellers are entering this blue-ocean market. Lower competition density and higher average order value potential have made Mercado Libre one of the most attractive e-commerce opportunities in 2026.

I. Mercado Libre Seller Registration Requirements

Before starting the Mercado Libre seller registration process, understanding the platform’s entry requirements in advance can help avoid repeated document submissions and application rejections.

1.Business Qualification Requirements

Core documents include: company business license, legal representative ID card, mainstream e-commerce store links, and sales screenshots.

Notably, according to the platform policy update released in September 2025, Chinese sellers are no longer required to submit sales proof during registration. As long as business qualification documents are complete, applications can be submitted directly, significantly lowering the entry barrier.

2.Payment Account Preparation

Mercado Libre supports USD settlements. Sellers need to prepare a USD bank account in advance (must be a company receiving account) or register with payment platforms such as Payoneer.

It is recommended to complete payment account registration and verification before submitting the seller application to avoid delays in product listings after approval.

3.Logistics and Warehouse Setup

Logistics capability is an important factor in Mercado Libre’s review process. The platform encourages sellers to operate both self-fulfillment and overseas warehouse (FULL warehouse) models simultaneously.

Compared with self-fulfillment, overseas warehouses offer clear advantages in payment cycles (2 days after delivery confirmation versus 5 days for self-fulfillment), traffic exposure, and promotional event eligibility.

For new sellers, preparing at least a warehouse solution for the Mexico or Brazil main site is recommended.

4.Login Environment and Account Security

Mercado Libre has certain requirements for login IP environments. Sellers are advised to maintain a fixed and stable network environment and avoid frequent IP switching, which is a common trigger for account linking and suspensions.

It is also recommended to use an independent business email address that is completely separated from personal accounts.

II. Mercado Libre Seller Registration Process

Once all documents are prepared, sellers can complete the Mercado Libre registration process through the following steps. The overall process is straightforward, but each step requires careful attention to detail.

1.Submit the Seller Application

Complete the official application form, including basic information, business overview, and store operation plans, ensuring all details match the business license.

2.Reply to the Initial Review Email

Only respond to emails ending with “@mercadolibre.com.” Sellers must reply within 5 business days. If additional documents are requested, they must be submitted within 3 business days; otherwise, the application may be closed.

3.Register the Account

After passing the initial review, use the registration link sent by the account manager to fill in the company name, store name, Unified Social Credit Code, email address, and password.

4.Complete Business Verification

Upload the business license in PDF format and provide the company address, postal code, and contact information.

5.Bind Payment Tools and Configure Logistics

Once completed, the full registration process is finished, and sellers can officially begin operating on Mercado Libre.

III. Core Mercado Libre Operation Challenges and Solutions

Successfully completing Mercado Libre registration is only the first step. During the early operation stage, sellers often encounter several critical issues that can directly impact sales performance.

1.Store Review Failure

The most common reasons are inconsistent information across submitted documents (such as mismatched store names and company names) or incorrect file formats.

Solution:

Carefully verify consistency between application forms and official documents. Submit clear PDF files when providing supplementary materials. If applications are repeatedly rejected, contact the account manager for clarification.

2.Multi-Account Association

Mercado Libre currently allows multiple accounts under the same entity, but sellers must strictly comply with anti-association policies:

● Independent information: each account must use a separate email address and tax ID.

● Anti-association measures: avoid logging into multiple accounts using the same IP address. Using a professional Anti-detect browser for multi-account management is recommended.

● Sub-account authorization: teams can create sub-accounts with limited permissions for customer service or product listing management. Sub-accounts cannot modify payment information, ensuring financial security.

Solution:

Payment accounts and business licenses should maintain a strict one-to-one relationship. Sellers must avoid fake orders, false reviews, and infringing products.

To create isolated account environments, sellers can use real dedicated static residential proxy resources from professional proxy providers such as IPFoxy Proxies and integrate them into an Anti-detect browser to simulate real-user environments and fully separate account fingerprints.

3.ccount Suspension

When Mercado Libre suspends a store, the platform usually sends an email explaining the reason. Common causes include selling infringing products, violating platform sales policies (such as false advertising or review manipulation), account security risks (such as suspicious account associations), and poor performance metrics (such as high late shipment rates or excessive customer complaints).

Solution:

If sellers believe the suspension was a mistake, they can file an appeal through the platform’s appeal system and provide supporting evidence. Sellers should also thoroughly review their business practices and make necessary corrections to avoid violating platform rules again.

IV. Fast Sales Strategies for New Mercado Libre Stores

After resolving operational issues, new stores need to focus on product selection, SEO, advertising, and product page optimization simultaneously to achieve fast sales growth.

1.How to Find Low-Competition Products

The first principle for new sellers is avoiding oversaturated categories and focusing on niche markets.

Use Mercado Libre sales rankings and keyword tools to identify products with medium search volume, fewer competitors, and leading sellers with fewer than 1,000 reviews.

According to the platform’s 2026 policies, key recruitment categories include electronic accessories, automotive parts, fashion products, and home goods.

2.Mercado Libre SEO Optimization

Limited exposure is common for new stores. Sellers are advised to prioritize overseas warehouses, as FULL warehouse listings receive higher search traffic weight.

At the same time, improving listing quality is critical. Within the platform algorithm, the combined weight of “advertising relevance,” “traffic history,” and “listing relevance” accounts for approximately 60%.

Key Mercado Libre SEO optimization points include:

● Place core keywords at the beginning of titles and use natural local-language expressions instead of keyword stuffing.

● Fill in as many attribute fields as possible, since more complete information improves ranking weight.

● Use clean white-background main images with at least six images total, while secondary images should demonstrate product usage scenarios.

● Include long-tail keywords naturally within product descriptions and address common buyer concerns while emphasizing unique selling points.

3.Advertising Strategies

New sellers are advised to launch product ads immediately after listing products. During the early stage, the primary goal should be exposure accumulation rather than strict ACOS targets.

Specific strategies include:

● Start with automatic campaigns to gather conversion data, then switch to manual campaigns after identifying high-converting keywords.

● Closely monitor the Share of Voice metric, which reflects advertising competitiveness for target keywords.

● Increase budgets two weeks before major promotions and combine them with platform promotional campaigns.

If advertising ROI is unstable during the early stage, sellers can adopt a single-product-per-ad-group strategy, placing only one SKU in each campaign for easier exposure analysis and more flexible ACOS and budget adjustments.

4.Localized Product Detail Pages

Consumer shopping habits and aesthetics in Latin America differ significantly from those in China. Since purchasing decisions often take longer, persuasive product pages directly impact conversion rates.

Localized product pages should include:

● Product descriptions written in local languages with lifestyle-oriented images aligned with local aesthetics.

● Certification labels such as CE and FCC to strengthen buyer trust.

● Fast customer service response times, since negative review rates directly impact account weight.

Simply translating domestic product pages without localization should be avoided, as cultural differences can significantly reduce conversion rates.

V. FAQ

Q: Why are Mercado Libre accounts easily suspended? **
The main reasons include account association (multiple accounts sharing devices, IPs, or payment tools), policy violations (fake orders, false reviews, selling prohibited or infringing products), and abnormal login activity triggering platform security systems.

**Q: Is Mercado Libre suitable for individual sellers?
The platform has no restrictions on seller size. Individual entrepreneurs with valid business qualifications can participate, and small-to-medium sellers also have opportunities to generate sales.

*Q: What is the difference between a local store and a global seller account on Mercado Libre? *
A local store is registered and operated within the target country, providing stronger traffic support, faster payment cycles, and more complete after-sales systems.A global seller account is operated directly by Chinese companies and allows management of multiple sites from a single backend, with lower entry barriers. Many sellers begin with global seller accounts and later establish local entities after validating their business model.

VI. Conclusion

In 2026, Mercado Libre remains a high-potential e-commerce opportunity for Chinese sellers. The platform continues lowering entry barriers, optimizing logistics costs, and increasing policy support, while the Latin American market still offers significant growth opportunities.

The earlier sellers enter the market, the faster they can accumulate reviews, ranking weight, and operational data advantages. Hopefully, this guide can help sellers avoid common pitfalls and grow more efficiently on Mercado Libre.

Gemini 3.5 Flash Launch: Key Upgrades, Hands-on Review & User Guide (2026)

IPFoxy — Fri, 22 May 2026 10:26:49 +0000

At the recent Google I/O 2026 conference, Google officially introduced the new Gemini 3.5 model lineup and debuted Gemini 3.5 Flash.
The most surprising part of this release is that, although positioned as a lightweight “Flash” model, its performance surpasses the previous flagship “Pro” model across multiple major benchmarks. That is exactly what this article will break down in detail.

I. Gemini 3.5 Flash: What Are the Core Upgrades?

Positioned as Google’s “most powerful agent and coding model so far,” its main strengths can be summarized as: cutting-edge intelligence, ultra-fast reasoning, and deep optimization for AI Agents.

1.Breakthrough “Lightweight Yet Powerful” Performance

In official benchmark tests, Gemini 3.5 Flash even outperformed the previous flagship model Gemini 3.1 Pro:
● Real-world coding capability: Achieved an Elo score of 1656, a benchmark focused on economically valuable real-world engineering tasks rather than simple logic problems.
● Terminal operation capability: Scored 76.2%, significantly improving its ability to complete complex multi-step tasks in real terminal environments.

2.Extreme Inference Speed and High Cost Efficiency

● 4× faster output: Its token generation speed reaches up to 4 times faster than comparable frontier models, and on certain optimized platforms, even up to 12 times faster.
● Lower cost with higher efficiency: Although its API pricing is slightly higher than the previous Flash generation, it still costs less than half of comparable flagship models while offering similar capabilities. Combined with cache discounts of up to 90%, it is highly suitable for large-scale AI Agent deployments.

3.Built Natively for AI Agents

The core of an AI Agent is a closed-loop workflow involving multi-step planning, tool usage, and self-correction. Gemini 3.5 Flash introduces underlying optimizations specifically for this workflow:
● Thinking Retention: The model automatically preserves intermediate reasoning processes across multi-turn conversations. In later interactions, it can continue previous reasoning chains without requiring developers to modify the API. This significantly improves long-term tasks such as iterative debugging and code refactoring.
● Flexible Thinking Levels: Google removed the previous thinking_budget parameter and introduced four adjustable reasoning levels:
Minimal: Optimized for simple queries such as chats and quick Q&A.
Low: Low latency, suitable for lightweight coding and analysis tasks.
Medium (default): Balances speed and quality, ideal for complex coding and AI Agent workflows.
High: Maximizes reasoning capability for advanced mathematics and difficult agent tasks.

4.Powerful Multimodal and Long-Context Capabilities

● Long-context support: Supports up to 1 million input tokens and up to 65,000 output tokens.
● Multimodal function responses: Allows images, audio, and other multimodal content to be directly embedded into custom Function Calling outputs, reducing issues such as reasoning leakage and output degradation found in earlier versions.
Gemini 3.5 Flash is not just a minor update. It represents Google’s attempt to build a moat around “high intelligence + ultra-fast speed + lower cost,” pushing large models beyond chatbots and toward fully capable AI Agents that can perform real tasks autonomously.

5.Gemini 3.5 Flash vs GPT vs Claude

Here is a quick comparison:

In simple terms: Claude excels in deep reasoning and code quality, GPT leads in ecosystem integration and balanced performance, while Gemini 3.5 Flash dominates in long-context processing, extreme speed, and cost efficiency.

II. How to Start Using Gemini 3.5 Flash

1.Network Environment Setup

Gemini 3.5 Flash is gradually rolling out for public access and API integration. However, in real-world usage, Google still applies strict risk control policies against abnormal login environments, frequent node switching, and low-quality shared IPs.
For users requiring long-term stable access, API debugging, or multi-region testing, a stable and clean network environment can directly affect the overall experience.
As a result, some developers use professional proxy services as supporting infrastructure. For example, IPFoxy Proxies provides real residential proxy solutions that can simulate local network environments in multiple regions, helping users build more stable access environments for web apps, AI Studio, Gemini API, and related scenarios.

After optimizing the network environment, users can choose different access methods depending on their needs.

2.General Chat and Multimodal Experience

Users can directly visit the official Gemini website or use the mobile app.
Subscribed users can select the latest Gemini 3.5 Flash model from the model dropdown menu at the top of the interface.

3.Advanced Development and API Usage

For advanced API integration and developer-focused long-context capabilities, users can access Google AI Studio.
After signing in with a Google account, switch to Gemini 3.5 Flash (Preview) in the “Model” selector panel.

III. Advanced Gemini 3.5 Flash Usage Tips

Understanding the model is only the first step. To fully unlock Gemini 3.5 Flash’s potential, developers should optimize how they use it. The following five areas are among the most practical advanced techniques.

1.Prompt Structure Optimization

Clearly separate “system instructions” from “task descriptions.” Caching frequently reused system prompts can reduce repeated token costs by up to 90%.
Structured outputs such as JSON Schema are also more token-efficient than free-form text because the model generates more concise responses.

2.Long-Context Optimization

When uploading large codebases or long documents, place stable and reusable content—such as source files and background materials—at the beginning of the context for caching purposes, while dynamic questions should appear near the end.
In multi-step AI Agent loops, context size grows continuously. A five-step workflow may consume 2–3× more tokens than the original prompt, so budget planning is important.

3.Coding Optimization

For code generation tasks, Medium or High thinking levels are recommended.
For lightweight tasks such as code completion or formatting, switching to Low or Minimal can significantly reduce latency and cost.

4.AI Agent Workflow Optimization

Take advantage of Thinking Retention to avoid repeatedly sending reasoning chains during multi-turn AI Agent workflows.
Use lightweight models for simple subtasks, while reserving Gemini 3.5 Flash for complex decision-making stages. Avoiding maximum-level reasoning on every request is one of the most effective ways to control AI Agent costs.
When using the Gemini API, developers often encounter rate limits and unstable network conditions during AI Agent testing. Some teams use rotating residential proxy solutions from IPFoxy Proxies to assign independent network exits to different agents, making multi-region testing and automated task management easier.

5.UI Generation Optimization

When generating frontend components, clearly specify the target framework (such as React + Tailwind), interaction logic, and responsive requirements in the prompt.
Combining these instructions with multimodal inputs such as UI screenshots can greatly improve first-pass generation quality.

IV. FAQ

1.Is Gemini 3.5 Flash suitable for AI Agents?

Yes. Compared with traditional chatbot models, Gemini 3.5 Flash places much greater emphasis on long-context handling, multi-step reasoning, and tool-calling capabilities, making it highly suitable for automation agents, workflow orchestration, and multi-turn task execution.

2.When will Gemini 3.5 Pro be released?

Gemini 3.5 Pro has reportedly been delayed until June 2026, and Google has already started internal testing.

3.Why does AI Agent infrastructure care about network environments?

In scenarios involving frequent API requests, long-running automation tasks, and multi-account collaboration, shared network environments can easily trigger rate limits or abnormal request detection.
As a result, many AI automation teams use rotating residential proxies, browser isolation, and independent network environments to improve AI Agent workflow stability, especially for global AI testing and automation tasks.

V. Conclusion

The significance of Gemini 3.5 Flash goes beyond being “a faster model.”
It breaks the traditional hierarchy of AI models: a lightweight product outperforming flagship models on key business benchmarks while maintaining lower operational costs. This signals that AI infrastructure competition is shifting from a pure “capability race” to an “efficiency race.”
For developers, now is an excellent time to integrate it into production environments. For ordinary users, if you have already opened the Gemini app, you are probably using it already.