Firecrawl vs ScrapeGraphAI

Deterministic content extraction against LLM-driven extraction that infers structure from a natural-language prompt.

Firecrawl is turns any site into clean, LLM-ready markdown with crawl, scrape, map and extract endpoints. It is maintained by Firecrawl (Mendable), runs on HTTP API · Python/Node SDK · LangChain & LlamaIndex integrations, and starts at free tier · from $16 / mo.

ScrapeGraphAI is prompt-defined extraction — describe the data you want and an LLM builds the scraping graph instead of you writing selectors. It comes from ScrapeGraphAI, runs on Python · Node SDK · HTTP API, and starts at Free (OSS) · API from $20 / mo.

Firecrawl gives you the page as reliable Markdown and leaves structuring to you. ScrapeGraphAI turns a prompt into structured JSON without selectors, which is unbeatable for long-tail sites and expensive for high-volume, stable ones.

We score every scraping tool on five axes that decide real projects: how quickly a new engineer becomes productive, how far the tool scales before it needs replacing, how well it survives anti-bot systems, how good the documentation and community are, and what you get per dollar. Firecrawl scores 8.7/10 overall against 8/10 for ScrapeGraphAI, but the aggregate hides the trade-off that matters to you.

The clearest gaps are on scale and docs & community. Read those two rows first; the rest are close enough that team familiarity should decide.

Throughput decides your proxy bill as much as your compute bill: a tool that needs a full browser to read a page transfers ten to thirty times more bytes than one that parses HTML directly, and residential bandwidth is priced per gigabyte.

Firecrawl sustains 5 – 100 concurrent browsers by plan and uses roughly None (remote). ScrapeGraphAI sustains LLM-bound, 1 – 20 pages/min typical at roughly ~350 MB with browser backend. On JavaScript-heavy targets, Firecrawl handles rendering like this: Yes, always available ScrapeGraphAI: Yes via Playwright backend

Firecrawl: Credit-based; one page scrape is one credit, extraction and rendering cost more.

ScrapeGraphAI: Library is free; you pay your own LLM tokens. The hosted API is credit-based.

Neither list price is your real cost. Add proxy bandwidth for every tool that does not bundle it, add the compute hours for anything that drives a browser, and add the engineering time that a self-hosted stack consumes every month. A framework that is free to license routinely costs more per delivered page than a paid unlocker once residential gigabytes and failed requests are counted honestly.

Proxy strategy is where most scraping projects leak money. Firecrawl expects: Managed proxies with a stealth mode tier for protected pages Hosted variants proxy for you; self-hosted variants need your own rotating residential gateway.

ScrapeGraphAI expects: Proxy settings per graph config; works with rotating residential gateways Hosted variants proxy for you; self-hosted variants need your own rotating residential gateway.

Whichever tool you pick, tier your proxy network per domain rather than globally. Start every target on datacenter IPs, promote it to rotating residential when the block rate on that specific domain passes a few percent, use static ISP IPs for anything logged in, and reserve mobile exits for app-only endpoints. Teams that apply one proxy type to every target routinely overpay by five to ten times.

Neither tool is strictly better. The lists below are the differences that changed our recommendation during testing, not feature-sheet trivia.

Firecrawl gives you the page as reliable Markdown and leaves structuring to you. ScrapeGraphAI turns a prompt into structured JSON without selectors, which is unbeatable for long-tail sites and expensive for high-volume, stable ones.

Choose Firecrawl when: High page counts, stable layouts, and a pipeline that already knows how to parse.

Choose ScrapeGraphAI when: Hundreds of dissimilar sites where writing and maintaining selectors would cost more than the LLM tokens.

A large share of production stacks run both. Using Firecrawl for the bulk of the crawl and ScrapeGraphAI for the fraction of domains it handles better is almost always cheaper than forcing one tool to cover every target, because the expensive path only gets used where it earns its price.