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
Repository

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

Firecrawl appears to have several advantages over Crawl4AI, particularly in popularity, growth and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Firecrawl leads in popularity with 169,544 stars vs 78,701 stars for Crawl4AI. The 115% higher star count indicates stronger community adoption. In terms of developer contributions, Firecrawl has 9,461 forks, indicating strong developer engagement.
Firecrawl is growing faster, adding 16,068 stars in the last 30 days (+10%) against adding 5,289 stars for Crawl4AI (+7.2%). Firecrawl is both larger and pulling further ahead.
Both projects show recent activity, with Crawl4AI last updated 10 hours ago and Firecrawl 9 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.
Firecrawl provides self-hosting options for complete data control and customization, while Crawl4AI may be primarily cloud-based or require different deployment approaches.