Getting Blocked by Anti-Bot Measures? Here is a Scraping Methodology That Actually Works

#security #automation #webdev #python

After months of scraping WeChat, Taobao, and other heavily-protected sites, I finally have a reliable anti-detection methodology.

The Key Insights

1. Browser Fingerprint Rotation Matters More Than Proxies

Most people focus on rotating IPs, but modern anti-bot systems fingerprint your browser. If your fingerprint stays the same, a new IP will not help.

2. Cookie/Session Management is Crucial

For persistent logins (like WeChat articles), proper cookie management is essential. One wrong header and your session is invalidated.

3. Rate Limiting That Mimics Humans

Aggressive scraping = instant ban. I use patterns like:

Random delays between 2-8 seconds
Variable request volumes per hour
Mouse movement simulation before clicks
Scroll patterns that match real users

4. Playwright Stealth Beats Selenium

Playwright with proper stealth configuration passes most bot detection systems. Selenium is too easily fingerprinted.

Technical Implementation

const { chromium } = require('playwright');

const browser = await chromium.launch({
  headless: false,
  args: [
    '--disable-blink-features=AutomationControlled',
    '--no-sandbox',
  ]
});

const context = await browser.newContext({
  userAgent: 'Mozilla/5.0 ...',
  viewport: { width: 1920, height: 1080 },
  locale: 'zh-CN',
  timezoneId: 'Asia/Shanghai',
});

What Works On

WeChat public account articles
Taobao product pages
Social media platforms
Sites with Cloudflare protection
Sites with reCAPTCHA

I packaged the complete methodology into a skill pack with Playwright stealth configs, fingerprint rotation strategies, and cookie management patterns: Anti-Detection Scraping Pack

What is your biggest scraping pain point? Always looking to improve the methodology.