Which is more popular, Docling or Firecrawl?

Firecrawl has more GitHub stars (187,756 vs 68,298).

Which is more actively developed, Docling or Firecrawl?

Firecrawl had more commits in the last 90 days (578 vs 356).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Firecrawl is growing faster: +14,055 GitHub stars in the last 30 days vs +1,855 for Docling.
Pick Docling for: get your documents ready for gen AI. Pick Firecrawl for: the Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data.

From GitHub data refreshed daily.

Doclingopen-source

Get your documents ready for gen AI

🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data

+Advanced PDF understanding with layout analysis, table structure recognition, and reading order detection
+Supports wide variety of document formats including office documents, images, audio, and markup languages
+Unified DoclingDocument representation simplifies integration with AI workflows and downstream processing

+Industry-leading reliability with >80% success rate on complex websites including JavaScript-heavy and dynamic content
+AI-optimized output formats with clean markdown and structured data specifically designed for LLM consumption
+Comprehensive feature set including media parsing, interactive actions, batch processing, and authentication support

-Processing complex documents with advanced features may require significant computational resources

-Repository is still in development and not fully ready for self-hosted deployment
-API-based service likely requires subscription pricing for production use
-As a relatively new tool, long-term stability and support ecosystem may be uncertain

•Converting research papers and technical documents into AI-ready formats for RAG applications
•Extracting structured data from business documents like invoices, contracts, and reports for automation
•Preparing diverse document collections for training or fine-tuning language models

•Building AI agents that need real-time web context and competitor intelligence
•Creating training datasets for LLMs by scraping and cleaning large volumes of web content
•Automating content monitoring and change detection for business intelligence applications

Which is more popular, Docling or Firecrawl?: Firecrawl has more GitHub stars (187,756 vs 68,298).
Which is more actively developed, Docling or Firecrawl?: Firecrawl had more commits in the last 90 days (578 vs 356).
Should I use Docling or Firecrawl?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.