Firecrawl vs ScrapeGraphAI
A side-by-side comparison of Firecrawl and ScrapeGraphAI, two Data Ops tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
ScrapeGraphAI
Data OpsTurn any webpage into structured data with one prompt-driven API call.
View ScrapeGraphAIAt a glance
| Attribute | Firecrawl | ScrapeGraphAI |
|---|---|---|
| Category | Data Ops | Data Ops |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | API, Web | API, CLI, Web |
| Model support (differs) | Model-agnostic | BYO key / model |
| Vendor (differs) | Firecrawl | ScrapeGraphAI |
The honest brief
Firecrawl
Returns clean LLM-ready markdown (not raw HTML), handles JS + anti-bot, and its AGPL core can be self-hosted.
- Clean markdown / structured JSON output
- Manages proxies and JS rendering for you
- AGPL core, self-hostable
- Scrape, crawl, map, search in one API
- AGPL license constrains redistribution
- Hosted usage priced by credits
- Heavy sites can still need tuning
ScrapeGraphAI
Swaps CSS selectors for LLM graph pipelines — describe the data in plain English and run it on any provider or local Ollama.
- Prompt-driven, selector-free extraction
- Graph pipelines: single, multi, crawl
- Runs on any LLM or local Ollama
- LangChain/LlamaIndex/n8n + MCP
- LLM cost per extraction page
- Less precise than handwritten selectors
- Hosted API credits add up