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
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

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 177,985 stars vs 81,980 stars for Crawl4AI. The 117% higher star count indicates stronger community adoption. In terms of developer contributions, Firecrawl has 9,705 forks, indicating strong developer engagement.
Firecrawl is growing faster, adding 13,930 stars in the last 30 days (+8.5%) against adding 4,445 stars for Crawl4AI (+5.7%). Firecrawl is both larger and pulling further ahead.
Both projects show recent activity, with Crawl4AI last updated 17 hours ago and Firecrawl 13 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 2 years ago and Firecrawl 2 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.