Firecrawl vs Pathway

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Firecrawl RAG	Pathway RAG
Tagline	Web scraping and crawling API that returns LLM-ready markdown, JSON, or structured data from any URL.	Live data framework for production RAG and streaming ETL pipelines in Python.
Category	RAG	RAG
Pricing	Freemium· Free Plan: $0 · Hobby: $16 · Standard: $83 · Growth: $333 · Scale: $599/monthly	Freemium· Community free (BSL 1.1, 8GB/4 cores); Scale and Enterprise tiers with license key
Model	Claude, Cursor, Windsurf, OpenAI, Gemini	Multi-model
Editorial score	8.0 / 10	7.3 / 10
Use cases	web-scrapingrag-ingestionagent-browsingsite-crawlingpdf-parsing	live-ragstreaming-etldocument-indexingmultimodal-raganomaly-detection
Pros	Returns clean LLM-ready markdown/JSON without custom scraper code Handles JS rendering, anti-bot, and PDFs out of the box Open source with SDKs in six languages plus an MCP server Generous 1,000-credit free tier and predictable per-page pricing	Genuinely live indexing - documents update without rebuild jobs Self-hosted under BSL 1.1, no data leaves your infra Rich connector library (Kafka, S3, SharePoint, Postgres, Delta Lake) Same pipeline handles batch and streaming 20+ production-ready templates including multimodal and adaptive RAG
Cons	Credit model gets expensive on million-URL crawls vs DIY scrapers Self-hosting is non-trivial compared with the managed API Browser interact actions burn credits quickly on long sessions	Steeper learning curve than prompt-chain frameworks BSL is not OSI-approved - commercial restrictions apply at scale Smaller community than LangChain/LlamaIndex Pricing for Scale/Enterprise tiers not transparent
Website	firecrawl.dev	pathway.com

Pick Firecrawl if

✅ Returns clean LLM-ready markdown/JSON without custom scraper code
✅ Handles JS rendering, anti-bot, and PDFs out of the box
✅ Open source with SDKs in six languages plus an MCP server
✅ Generous 1,000-credit free tier and predictable per-page pricing

Pick Pathway if

✅ Genuinely live indexing - documents update without rebuild jobs
✅ Self-hosted under BSL 1.1, no data leaves your infra
✅ Rich connector library (Kafka, S3, SharePoint, Postgres, Delta Lake)
✅ Same pipeline handles batch and streaming

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