FirecrawlvsPhidata

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Firecrawl

Data & ETL

Turn websites into LLM-ready markdown or structured data

Phidata

AI Agent Frameworks

Build AI agents with memory, knowledge, and tools

FeatureFirecrawlPhidata
CategoryData & ETLAI Agent Frameworks
PricingFree (open-source) + CloudFree (open-source) + Cloud
GitHub Stars
More stars
20k
15k
PlatformsLinux, macOS, Docker, WebLinux, macOS, Windows
Key Features
  • Web scraping
  • Markdown conversion
  • Crawling
  • JavaScript rendering
  • API
  • Agent memory
  • Knowledge base
  • Tool use
  • Structured output
  • Multi-model
Pros
  • + LLM-optimized output
  • + Handles JavaScript sites
  • + Clean markdown conversion
  • + API + self-hosted options
  • + Fast crawling
  • + Clean, Pythonic API
  • + Built-in memory and knowledge
  • + Production-focused
  • + Good documentation
  • + Multi-model support
Cons
  • Cloud pricing per page
  • Self-hosted needs resources
  • Some sites block crawlers
  • Rate limiting on free tier
  • Rebranding confusion (Phidata→Agno)
  • Smaller community than LangChain
  • Some features require cloud
  • Less flexible for custom setups
Tags
scrapingwebmarkdownopen-source
agentsmemoryknowledgepython

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