Learn how Crawl4AI and Firecrawl differ in their key features, development activity, technology stack and community adoption, so you can decide which of these scraping platforms & sdks is best for you.
Last 30 days
Last commit
4 days agoRepository age
3 yearsVersion
v0.9.5License
Apache-2.0Self-hosted
YesRepository
unclecode/crawl4ai
Last 30 days
Last commit
8 hours agoRepository age
3 yearsVersion
v2.11.0License
AGPL-3.0Self-hosted
YesRepository
mendableai/firecrawl
Firecrawl appears to have several advantages over Crawl4AI, particularly in popularity and growth. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Firecrawl leads in popularity with 199,599 stars vs 87,072 stars for Crawl4AI. The 129% higher star count indicates stronger community adoption. In terms of developer contributions, Firecrawl has 10,508 forks, indicating strong developer engagement.
Firecrawl is growing faster, adding 9,713 stars in the last 30 days (+5.1%) against adding 1,988 stars for Crawl4AI (+2.3%). Firecrawl is both larger and pulling further ahead.
Both projects show recent activity, with Crawl4AI last updated 4 days ago and Firecrawl 8 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Python. However, they differ in their additional technology choices: Firecrawl leverages Typescript, JSX, Golang, Rust.
Both projects started around the same time, with Crawl4AI beginning 3 years ago and Firecrawl 3 years ago.
The projects use different licenses: Crawl4AI is licensed under Apache-2.0 while Firecrawl uses AGPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Scraping Platforms & SDKs, Web Crawlers.
Both Crawl4AI and Firecrawl offer self-hosting capabilities, giving you full control over your data and infrastructure.