firecrawl

Firecrawl addresses the challenge of extracting and structuring web data for machine learning applications. It enables ML and AI teams to convert entire websites into LLM-ready markdown or structured data, streamlining the data preparation process. With over 82,000 stars, this open source tool for engineering teams demonstrates significant community interest, indicating a mature and production-ready solution. However, it may not be suitable for projects requiring real-time data updates or those with highly dynamic web content, where more specialised tools might be necessary.

Firecrawl is a strong choice when teams need to convert large volumes of web data into a structured format for machine learning models. Teams should consider alternatives if they require real-time data scraping or if their target websites frequently change structure.

This tool is particularly useful for data engineers and ML engineers who focus on data extraction and preparation. It is commonly integrated into products and systems that rely on structured data for AI-driven applications, such as data pipelines and analytics platforms.

Latest commit: 2026-02-14. Over the past 96 days, this repository gained 15.1k stars (+22.4% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.