Firecrawl vs Page Agent
Side-by-side comparison of two AI agent tools
Short answer
- Firecrawl is growing faster: +14,055 GitHub stars in the last 30 days vs +405 for Page Agent.
- Pick Firecrawl for: the Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data. Pick Page Agent for: javaScript in-page GUI agent.
From GitHub data refreshed daily.
Firecrawlfree
π₯ The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
P
Page Agentopen-source
JavaScript in-page GUI agent. Control web interfaces with natural language.
Metrics
| Firecrawl | Page Agent | |
|---|---|---|
| Stars | 187.8k | 29.3k |
| Star velocity /mo | 14.1k | 405 |
| Commits (90d) | 578 | 52 |
| Releases (6m) | 3 | 10 |
| Overall score | 0.8454678401194264 | 0.6656732657345861 |
Pros
- +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
Cons
- -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
Use Cases
- β’Building AI agents that need real-time web context and competitor intelligence
- β’Creating training datasets for LLMs by scraping and cleaning large volumes of web content
- β’Automating content monitoring and change detection for business intelligence applications
FAQ
- Which is more popular, Firecrawl or Page Agent?
- Firecrawl has more GitHub stars (187,756 vs 29,315).
- Which is more actively developed, Firecrawl or Page Agent?
- Firecrawl had more commits in the last 90 days (578 vs 52).
- Should I use Firecrawl or Page Agent?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.