FirecrawlvsSmolagents

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

Smolagents

AI Agent Frameworks

Hugging Face's lightweight library for building agents

FeatureFirecrawlSmolagents
CategoryData & ETLAI Agent Frameworks
PricingFree (open-source) + CloudFree (open-source)
GitHub Stars
More stars
20k
15k
PlatformsLinux, macOS, Docker, WebLinux, macOS, Windows
Key Features
  • Web scraping
  • Markdown conversion
  • Crawling
  • JavaScript rendering
  • API
  • Code agents
  • Tool calling
  • Multi-model
  • Lightweight
  • Hub integration
Pros
  • + LLM-optimized output
  • + Handles JavaScript sites
  • + Clean markdown conversion
  • + API + self-hosted options
  • + Fast crawling
  • + Lightweight and simple
  • + Code-agent approach
  • + Hugging Face integration
  • + Well-documented
  • + Active development
Cons
  • Cloud pricing per page
  • Self-hosted needs resources
  • Some sites block crawlers
  • Rate limiting on free tier
  • Fewer features than LangChain
  • Newer library
  • Limited tool ecosystem
  • Python-centric
Tags
scrapingwebmarkdownopen-source
agentshuggingfacelightweightpython

Want to compare different tools?

← Back to compare picker

Related Comparisons