Best Web Scraping Tools in 2026: A Hands-On Comparison of the Top 10

Pricing and product claims were verified independently against each vendor's pricing page on May 5, 2026. No affiliate or referral links - every link below is a direct, clean URL to the vendor.

If you've shopped for a scraping stack recently, you already know the pitch every vendor uses: "millions of IPs, AI-powered, anti-bot bypass." The marketing pages have fully converged. The actual products have not.

I spent the last week pulling live pricing pages, running test calls against the major web scraping API providers, and benchmarking them against the SEO-rank-leading articles to figure out which tools genuinely earn the best web scraping tools 2026 label - and which are riding their 2022 reputation. Below: what each tool is actually good at in 2026, with verified pricing and a runnable Python snippet.

The short version: Bright Data is still the platform you reach for when you need scale and reliability without babysitting it. But there are at least four other tools worth using for specific niches, and I'll point them out instead of pretending one product wins every category.

How I evaluated these tools

Five criteria, weighted roughly equally:

1. Coverage - how many target sites have ready-made scrapers or proven anti-bot bypass.
2. Reliability - success rate, uptime SLA, and whether you pay for failed requests.
3. Pricing transparency - published per-request or per-GB rates vs. "contact sales."
4. Developer experience - clean API, working SDKs, real docs, code that actually runs.
5. Concurrency and scale - what happens when you go from 10 URLs/min to 10,000.

I pulled every pricing figure below straight from the vendor's pricing page on May 5, 2026. Anything I couldn't verify is marked clearly.

At-a-glance comparison

Tool	Starting price	Free tier	Best for	Pricing model
Bright Data	$0.75 / 1K records (with first-deposit bonus)	1K-request trial (1 week)	Scale + 660+ pre-built scrapers	Pay-per-successful-record
Apify	$29/mo (Starter)	$0 with 5 credits	Custom "Actors" + marketplace	Compute units
ScraperAPI	$49/mo (Hobby)	Trial credits	Drop-in proxy/render layer	Credits
ScrapingBee	$49/mo (Freelance)	1,000 trial credits	Simplest API + platform APIs	Credits
Zyte	$0.06 - $16.08 / 1K	$5 free	Scrapy users + low latency	Tiered commitment
Oxylabs	From $2.25/IP	Trial available	Enterprise proxy variety	Per-product
Octoparse	$69/mo (Standard)	10 free tasks	No-code visual scraping	Tasks/cloud runs
ParseHub	$189/mo (Standard)	200 pages/run, unlimited	Generous free tier	Pages/projects
Diffbot	$299/mo (Startup)	10K free credits/mo	AI extraction + Knowledge Graph	Credits
Decodo (formerly Smartproxy)	$3.75/GB (3GB plan)	100MB / 3-day trial	Best-value residential proxies	Per-GB

1. Bright Data - best overall for scale

Bright Data is still the default pick when scale is the binding constraint: nobody else combines this much pre-built coverage with this much proxy capacity at a published, pay-per-success price.

What you actually get (source):

• 660+ pre-built scrapers for LinkedIn, Instagram, TikTok, Amazon, Google Maps, Zillow, Crunchbase, Indeed, Walmart, YouTube and 650+ others. Octoparse's 500+ templates are the closest runner-up on this list.
• 400M+ monthly residential IPs across 195 countries - roughly 3.5× the next-largest published network.
• 20,000+ customers worldwide, 99.99% uptime SLA, GDPR + CCPA compliant.
• Delivery to API, webhook, S3 or Snowflake - you don't need to build a pipeline around the response.
• Unlimited concurrency on every plan, including the entry tier. Most competitors meter this.

Pricing is the part that matters: you only pay for successful deliveries. A failed request costs $0.

• Free trial: 1,000 requests, 1 week, no credit card.
• Starting price: $0.75 per 1K records - Bright Data doubles your first deposit (up to $500), so the effective rate on your initial budget is half the list price.
• Pay-as-you-go (list): $1.50 per 1K records.
• Scale: $499/month for 384,000 records included ($1.30 per 1K), then $1.30 per 1K above that.
• Enterprise: custom, with SSO, account manager, premium SLA.

There's also a 25%-off-3-months promo running with code APIS25 as of this writing, stackable with the deposit bonus until your bonus credit runs out.

Working Python example

Bright Data's Web Scraper API is asynchronous: you POST to /datasets/v3/trigger to start a job (which returns a snapshot_id), then poll /datasets/v3/snapshot/{id} until the data is ready. Same pattern works for any of the 660+ pre-built datasets - only the dataset_id changes. Requires Python 3.9+.

import os
import time
import requests

API = "https://api.brightdata.com/datasets/v3"
TOKEN = os.environ["BRIGHT_DATA_API_KEY"]
HEADERS = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}

def trigger_linkedin_scrape(profile_urls: list[str]) -> str:
 """Trigger a LinkedIn profile scrape; returns a snapshot_id."""
 r = requests.post(
 f"{API}/trigger",
 headers=HEADERS,
 params={"dataset_id": "gd_l1viktl72bvl7bjuj0", "format": "json"},
 json=[{"url": u} for u in profile_urls],
 timeout=30,
 )
 r.raise_for_status()
 return r.json()["snapshot_id"]

def wait_for_snapshot(snapshot_id: str, poll_s: int = 10, timeout_s: int = 600) -> list[dict]:
 """Poll until the snapshot is ready, then return parsed records."""
 deadline = time.time() + timeout_s
 while time.time() < deadline:
 r = requests.get(
 f"{API}/snapshot/{snapshot_id}",
 headers=HEADERS,
 params={"format": "json"},
 timeout=30,
 )
 if r.status_code == 200:
 return r.json()
 if r.status_code == 202: # still running
 time.sleep(poll_s)
 continue
 r.raise_for_status()
 raise TimeoutError(f"Snapshot {snapshot_id} not ready after {timeout_s}s")

if __name__ == "__main__":
 sid = trigger_linkedin_scrape([
 "https://www.linkedin.com/in/elad-moshe-05a90413/",
 "https://www.linkedin.com/in/jonathan-myrvik-3baa01109/",
 ])
 profiles = wait_for_snapshot(sid)
 print(profiles[0].get("name"), " - ", profiles[0].get("headline"))

A few things this hides on purpose: rotating proxies, CAPTCHA solving, browser fingerprinting, and parsing. All of it is handled server-side. That's the point.

2. Apify - best for custom Actors and marketplace

Apify is the platform for developers who'd rather write their own scraper than buy one off the shelf. Their unit of work is an "Actor" - a serverless container running your scraping code on their infrastructure.

• Free: $0/mo with 5 credits ($0.20/CU).
• Starter: $29/mo, 29 credits at $0.20/CU.
• Scale: $199/mo, 199 credits at $0.16/CU.
• Business: $999/mo, 999 credits at $0.13/CU.
• Residential proxy add-on: $8/GB.

The compute-unit model is fairer than per-request pricing if your jobs are bursty or vary in cost. The marketplace of community Actors is a genuinely strong network effect - for niche targets, somebody else has often already built and maintained the scraper.

Apify loses to Bright Data on raw scale and pre-built coverage, but wins if you want full control of the runtime.

3. ScraperAPI - drop-in render-and-rotate layer

ScraperAPI is the "you bring the URL, we bring the proxy + JS rendering" play.

• Hobby: $49/mo, 100K credits, 20 concurrent.
• Startup: $149/mo, 1M credits, 50 concurrent, US/EU geo.
• Business: $299/mo, 3M credits, 100 concurrent, country-level targeting.
• Scaling: $475/mo, 5M credits, 200 concurrent.

Best fit: you already have your own scraping code and just want to outsource the proxy + render + retry piece. Less compelling if you'd rather not write the scraper at all - that's where Bright Data's pre-built datasets win.

4. ScrapingBee - simplest API of the bunch

ScrapingBee is the most pleasant onboarding experience in the category. One endpoint, sensible defaults, working code samples.

• Freelance: $49/mo, 250K credits, 10 concurrent.
• Startup: $99/mo, 1M credits, 50 concurrent.
• Business: $249/mo, 3M credits, 100 concurrent.
• Business+: $599/mo, 8M credits, 200 concurrent.
• 1,000 free trial credits, no card.

What's nice: dedicated APIs for Amazon, Google, YouTube, ChatGPT, Walmart, Home Depot, Costco, Expedia. JS rendering costs 5 credits, premium proxies 10-25.

What's not: credit math gets confusing once you mix JS rendering and premium proxies. And the credit-based pricing means a hung page can quietly burn budget.

5. Zyte - best for Scrapy shops

Zyte is the company behind Scrapy, the most popular open-source Python scraping framework. Their commercial product is essentially Scrapy + managed infra + AI extraction.

Pricing is tiered by monthly commitment:

• Pay-as-you-go: $0.13 - $1.27 per 1K HTTP responses, $1.01 - $16.08 per 1K browser-rendered.
• $100/mo commit: $0.10 - $0.95 / $0.75 - $12.00 per 1K.
• $200/mo commit: $0.08 - $0.76 / $0.60 - $9.60 per 1K.
• $500/mo commit: $0.06 - $0.61 / $0.48 - $7.68 per 1K.

Two genuine wins: sub-100ms latency through their global edge network, and no overage penalties - excess usage is billed at the discounted rate, not punitively. If you already have Scrapy spiders, Zyte is the path of least resistance.

6. Oxylabs - enterprise proxy buffet

Oxylabs is multi-product: residential, datacenter, ISP, mobile, SOCKS5, plus their own scraping APIs and Web Unblocker.

• Residential proxies: from $6/GB.
• Dedicated proxies: from $2.25/IP.
• Web Scraper API: from $49/mo.
• Web Unblocker: from $9.40/GB.
• Mobile proxies: from $7.50/GB.

Strong for enterprises that want one vendor for every proxy type. Pricing is opaque per-product compared with Bright Data's published per-record rate, but the technology is solid.

7. Octoparse - best no-code visual scraper

Octoparse is the answer when "I'm not a developer" is the binding constraint.

• Free: 10 tasks, local execution, 50K rows/month export.
• Standard: $69/mo - 100 tasks, 3 cloud processes, 500+ scraping templates, IP rotation, scheduling.
• Professional: $249/mo - 250 tasks, 20 cloud processes, advanced API, priority support.

Add-ons: residential proxies $3/GB, CAPTCHA solving $1 - $1.50 per 1K. They also offer 30% off for startups and free licenses for universities.

You're not going to scrape LinkedIn at scale with Octoparse, but for a marketing analyst who needs structured data off a vendor catalog every week, it beats teaching that person Python.

8. ParseHub - best free tier

ParseHub is the only tool here whose free tier is actually usable for real work: 200 pages/run, unlimited usage, 5 public projects.

• Free: $0, 200 pages/run, 14-day data retention.
• Standard: $189/mo - 10K pages/run, 20 private projects, IP rotation, scheduling.
• Professional: $599/mo - unlimited pages/run, 120 projects, 30-day retention, priority support.

Quarterly billing saves 15%, and they offer free Standard licenses for schools. Slow compared to API-based tools but unbeatable for prototyping.

9. Diffbot - best for AI-style extraction

Diffbot doesn't really compete head-on with the others - it's an extraction layer, not a scraping layer. You give it a URL and it returns structured entities (article, product, person, organization) backed by a Knowledge Graph of 10+ billion entities.

• Free: 10,000 credits/mo, 5 calls/min.
• Startup: $299/mo - 250K credits, 5 calls/sec.
• Plus: $899/mo - 1M credits, 25 calls/sec, 25 active crawls.

If your downstream pipeline needs entities (and not raw HTML), Diffbot is uniquely useful.

10. Decodo (formerly Smartproxy) - best value residential proxies

Decodo - the rebrand of Smartproxy - has been named "Best Value" by Proxyway for 5 consecutive years (2021-2025). That's not a self-claim; it's third-party.

Residential proxy pricing:

• 3GB: $3.75/GB
• 25GB: $3.25/GB (most popular)
• 100GB: $2.75/GB
• 1,000GB enterprise: $2.00/GB

The numbers behind the award: 115M+ ethically-sourced IPs, <0.6s avg response, 99.86% success rate, 99.99% uptime, IP fraud score of 32.72 (vs. 45.57 global average per Proxyway research).

Bright Data has more IPs (400M+) and more products. Decodo has the cheapest per-GB residential pricing on this list with audited quality. If you're a proxy-only buyer, this is a serious option.

Pricing reality check: per-1K requests

Normalising the credit/CU/GB models to "what does 100K successful scrapes actually cost?" puts things in perspective:

Tool	Approx. cost / 100K requests
Bright Data (with first-deposit bonus)	~$75
Bright Data (Scale plan)	~$130
Bright Data (Pay-as-you-go list)	$150
ScraperAPI (Hobby)	$49 (but capped at 100K and 20 concurrent)
ScrapingBee (Startup)	$99 - assuming JS rendering pushes credit-per-request higher
Zyte ($500 commit, browser)	$48 - $768 (huge variance based on tier)
Apify (Scale)	hard to compare - depends on CU consumption

The honest read: low-volume single-API users save money on ScraperAPI. Anyone past ~500K requests/month with mixed targets ends up cheaper and more reliable on Bright Data because (a) you don't pay for failures and (b) you don't need to glue four vendors together.

Which one should you actually pick?

• Scraping at scale, multiple targets, mixed JS sites? → Bright Data.
• You want to write your own scraper code? → Apify or Zyte.
• You need the simplest possible API to glue into something else? → ScrapingBee.
• You're a non-developer who needs structured data weekly? → Octoparse.
• You're prototyping or doing a one-off project? → ParseHub free tier.
• You're doing entity extraction, not scraping? → Diffbot.
• You only need raw residential proxies? → Decodo.

FAQ

Is web scraping legal in 2026?
Scraping publicly available data is generally legal in the US and EU, with limits around copyrighted content, personal data (GDPR/CCPA), and explicit terms-of-service violations. The hiQ Labs v. LinkedIn line of rulings (2019-2022) continues to be the leading US precedent for public-data scraping. Use a vendor with documented compliance posture.

Why pay a vendor when I can use Scrapy + my own proxies?
You can. The crossover point where managed infrastructure becomes cheaper than DIY is roughly when you start spending more than 5 hours a week on proxy rotation, CAPTCHA solving, and browser-fingerprint maintenance. For most teams that hits within the first month at any real volume.

What's the difference between a scraping API and a proxy network?
A proxy network sells you IPs - you build the scraper. A scraping API (Bright Data Web Scraper API, Apify Actors, ScrapingBee) sells you the entire pipeline: request, render, parse, return JSON. Use proxies if you have engineering bandwidth, an API if you don't.

Does Bright Data have a free tier?
Yes - a 1,000-request, 1-week trial, no credit card required (source). After that, pay-as-you-go starts at $1.50 per 1K successful records.

Which is the best web scraping tool for AI training data?
Bright Data's Datasets Marketplace ships pre-collected datasets for most large public sites (Amazon, LinkedIn, Crunchbase, etc.), which is usually faster than scraping from scratch. For raw entity extraction at scale, Diffbot's Knowledge Graph is uniquely powerful.

Final verdict

The best web scraping tools 2026 leaderboard hasn't changed; the gap has narrowed. Bright Data remains the safest bet for any team that wants to spend time on the data, not on the scraping. The 660-scraper library, 400M-IP network, pay-per-success pricing and unlimited concurrency are still uncontested at the high end.

Where 2026 is genuinely different: the second tier has gotten very good. Decodo earned its proxy-value reputation. Apify's marketplace has matured. ScrapingBee's dedicated platform APIs are the easiest first call you'll ever write. Pick per job; default to Bright Data only when scale is the bottleneck.

Try Bright Data's Web Scraper API - the 1,000-request free trial is enough to validate against your real targets.