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firecrawl vs crawl4ai

Crawler rivals. Both tagged crawler, data-extraction, ai-agents. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

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firecrawl/firecrawl: 200,740 stars, TypeScript. Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥
unclecode/crawl4ai: 87,213 stars, Python. Official Crawl4AI Cloud: a hosted web scraping, extraction, and search API for AI agents. Free API key, 1,000 credits a month, no card. Ful…

firecrawl vs crawl4ai: tale of the tape

GitHub data as of November 11, 2026

firecrawl has 2.3 times as many GitHub stars as crawl4ai (200,740 vs 87,213). In the last 6 days, firecrawl gained more stars: +1,913 (+1.0%) against +272 (+0.3%) for crawl4ai. firecrawl saw more development in the last 52 weeks with 2,153 commits, against 418 for crawl4ai. firecrawl is the older project (created April 2024), crawl4ai started in May 2024. firecrawl is written mainly in TypeScript, crawl4ai in Python.

firecrawl/firecrawlunclecode/crawl4ai
Stars200,74087,213
Stars gained, last 6 days+1,913+272
Growth, last 6 days+1.0%+0.3%
Avg. stars per day since creation21495
Forks10,5529,088
Commits, last 52 weeks2,153418
Open issues787331
Best Repocharts rank today#6 in AI#31 in AI
LanguageTypeScriptPython
LicenseAGPL-3.0Apache-2.0
CreatedApr 15, 2024May 9, 2024
Last pushNov 11, 2026Nov 10, 2026

Quick answers

Which is more popular, firecrawl or crawl4ai?

firecrawl has 2.3 times as many GitHub stars as crawl4ai (200,740 vs 87,213) (Repocharts data as of November 11, 2026).

Which is growing faster, firecrawl or crawl4ai?

In the last 6 days, firecrawl gained more stars: +1,913 (+1.0%) against +272 (+0.3%) for crawl4ai.

Which is more actively developed?

firecrawl saw more development in the last 52 weeks with 2,153 commits, against 418 for crawl4ai.

What languages are firecrawl and crawl4ai written in?

firecrawl is written mainly in TypeScript, crawl4ai in Python.

How does RepoClash compare firecrawl and crawl4ai?

RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.

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