Firecrawl vs LangChain

Firecrawl

LangChain

Firecrawl · 16 features

• Batch Scrape — Scrape many URLs in parallel.
• Crawl — Crawl an entire site following links. Returns all pages.
• Custom Headers/Cookies — Scrape behind login via headers.
• Deep Research (beta) — AI agent that autonomously researches a query across many sites.
• Extract (AI) — Structured extraction with a JSON schema → Firecrawl runs LLM for you.
• JavaScript Rendering — Headless browser handles SPAs, React/Vue sites.
• LLM-Ready Markdown — Cleaned + normalized Markdown optimized for LLM ingestion.
• Map — Fast — returns all URLs on a site without fetching content.
• MCP Server — Official MCP for Claude / Cursor / Agents.
• Open Source (AGPL) — Self-host the entire stack via Docker.
• PDF Parsing — Extract text from PDFs.
• Residential Proxies — Bypass anti-bot + geoblocks (paid).
• Scrape — Single URL → clean markdown/JSON/HTML.
• Screenshots — Visual screenshot alongside content.
• Search (beta) — Google-like search API returning results + content.
• Structured Output — Extract to JSON schema via LLM.

LangChain · 18 features

• Agents — Tool-using agents with reasoning loops.
• Chains (LCEL) — LangChain Expression Language — pipe primitives into chains.
• Checkpointers (LangGraph) — Persist agent state to SQL, Mongo, Redis, Postgres.
• Document Loaders — 150+ loaders for PDF, HTML, Notion, Google Drive, S3, GitHub, etc.
• Human-in-the-loop — Pause agent for approval, then resume.
• LangGraph — Stateful graph-based agent runtime. Durable, replayable, human-in-the-loop.
• LangGraph Platform — Managed hosting for LangGraph agents with state persistence.
• LangGraph Studio — Desktop IDE for debugging agent graphs.
• LangServe — Deploy chains as FastAPI endpoints.
• Memory — Buffer, summary, entity, vector memory stores.
• Output Parsers — Structured JSON, Pydantic schemas, function calling.
• Prompt Templates — Templating + partial filling + output parsers.
• RAG (Retrieval-Augmented Generation) — Standard patterns + 50+ retrievers.
• Streaming — First-class streaming at every layer.
• Subgraphs — Compose agent graphs hierarchically.
• Text Splitters — Recursive, token, semantic splitters for chunking.
• Tools — 400+ pre-built tools (web search, code, databases, APIs).
• Vector Store Integrations — 60+ vector DBs (Pinecone, Chroma, Weaviate, PGVector, Qdrant, Milvus).