Avoiding detection at scale: pairing crawl4ai with antidetect browsers

[pencil20388-eng]

crawl4ai handles the crawling and extraction beautifully, but anyone scraping at scale eventually hits the same wall — IP bans, fingerprint-based blocking, and bot detection from Cloudflare / DataDome / PerimeterX.

For people running into this, I put together a curated resource on the anti-detection side of the equation:

👉 https://github.com/pencil20388-eng/awesome-anti-detect

It covers antidetect browsers (AdsPower, Multilogin, GoLogin, etc.), fingerprint testing tools, proxy selection (datacenter vs residential vs mobile), and the research behind browser fingerprinting.

The combo that works well in practice:

• crawl4ai for the crawling logic + LLM extraction
• An antidetect browser like AdsPower for fingerprint isolation + proxy rotation per session
• Residential/mobile proxies for the high-detection targets

AdsPower exposes a CDP endpoint per profile, so you can drive it with Playwright/Puppeteer — which means it slots into crawl4ai-style workflows without much friction.

Sharing in case it's useful for others scaling up. Happy to answer questions on the anti-detection side!