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9 starsTypeScript

Trying to fix the web scraping industry's benchmark problem

by rohitshenoy·Jul 16, 2026·11 points·0 comments

AI Analysis

●●●BangerBig BrainNiche GemShip It

Finally exposes vendor BS by ranking scrapers on hard targets like Amazon and Cloudflare.

Strengths
  • Verifiable pass criteria requiring both 2xx status and expected text content in response.
  • Covers major anti-bot providers including PerimeterX and Cloudflare across diverse industries.
  • Transparent runner architecture allows anyone to audit results or add new provider adapters.
Weaknesses
  • Results skew toward the author's own product which currently tops the leaderboard.
  • Limited to HTTP-based APIs; doesn't benchmark self-hosted headless browser setups.
Target Audience

Data engineers and developers evaluating web scraping services

Similar To

Scrapfly · Bright Data · Oxylabs

Post Description

We've been trying to evaluate web scraping companies, but when you look at their benchmarks, you can't verify anything, and they mostly exist to prove the company is successful. They put somewhere between 98% and 100% because they pick their own urls, define success their own way, and don't publish the harness. We also saw companies like scrapfly astroturf websites like scrapeway and call them independent.

So, we built an open source benchmark that we want to represent the frontier of web data. We're trying to look across all major anti-bot providers and industries, to build a comprehensive hard-target test set. It's all in the repo, you can run it, and we pledge to maintain it monthly.

Curious what people think we could do to improve it? Would you change any of the conditions, add sites, etc. Our target list and pass criteria are something we're trying to improve, so would love to get feedback from the community on how we can actually provide something useful for people to test against!

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