Firecrawl Review
Firecrawl converts websites into clean markdown built for LLM ingestion, with an open-source core you can self-host. The obvious pick for RAG pipelines.
Review last updated 2026-08-20 · How we rate providers
Scorecard
Pros
- Returns clean markdown ready to feed into a language model, not raw HTML
- Open source core that you can self-host
- Crawl an entire site with one call and get structured page records back
- Strong integrations with the common AI application frameworks
Cons
- Very young company, founded in 2024
- Weaker against aggressive anti-bot protection than specialist unblockers
- Credit pricing is steep for large crawls
- Feature set is optimized for AI ingestion rather than classic data extraction
Privacy, jurisdiction & audits
Who the company answers to legally, what it keeps, and whether anyone independent has checked.
| Legal jurisdiction | United States in the 5 Eyes |
|---|---|
| Logging policy | Not a privacy service; operational logs by design |
| Independent audits | None published |
| Anonymous payment | Card / PayPal only |
| How IPs are sourced | Aggregated upstream proxy supply with browser rendering. |
Firecrawl plans & pricing
Advertised rates as of August 20, 2026. VPN promo rates normally require the prepaid term shown and renew at the higher rate; proxy pricing falls with volume. Confirm on Firecrawl's own site before buying.
| Plan | Price | Min spend | Notes |
|---|---|---|---|
| FreeScraping APIs | Freefree forever | Free | 500 credits a month |
| HobbyScraping APIs | $3/1k requestsmonthly | $16 | |
| StandardScraping APIs | $1.80/1k requestsmonthly | $83 |
Features
Our Firecrawl review
Firecrawl was built for a use case that barely existed five years ago: turning websites into text a language model can use. Instead of returning raw HTML full of navigation and scripts, it returns clean markdown with the boilerplate stripped, which is precisely what a retrieval pipeline needs.
One call can crawl an entire site, follow links to a depth you set, and return structured records per page, which removes most of the plumbing from a documentation-ingestion job.
The core is open source and self-hostable, so you can run it yourself and use the cloud service for convenience or scale. Integrations with the common AI frameworks are maintained and current.
Against defended targets it is weaker than specialist unblockers, because its focus is content extraction rather than adversarial access. Credit pricing also gets expensive on large crawls.
The company is new, founded in 2024, which is a normal risk with fast-moving tooling. The open-source core mitigates it: if the service changes direction, the code still runs.
Recommended for RAG and AI ingestion. Choose Zyte, ScraperAPI or ZenRows for classic data extraction from hostile sites.
Notable facts
- Returns clean markdown rather than raw HTML
- Open-source core that can be self-hosted
- Founded in 2024, focused on AI ingestion use cases
At a glance
| Founded | 2024 |
|---|---|
| Headquarters | San Francisco, California, US |
| Service types | Scraping APIs |
| Country coverage | 30 |
| Proxy protocols | HTTP(S) |
| Rotation | Automatic per request |
| Starting price | Free |
| Free tier | Yes |
| Support | email, slack, knowledge-base |
Frequently asked questions
Why markdown instead of HTML?
Language models work better on clean prose than on markup full of navigation and scripts, and markdown uses far fewer tokens, which lowers cost.
Can I self-host Firecrawl?
Yes, the core is open source. The hosted service adds scale, managed proxies and support.
Does it handle protected sites?
Less well than specialist unblockers. Its strength is extraction quality, not adversarial access.
Bottom line
Firecrawl converts websites into clean markdown built for LLM ingestion, with an open-source core you can self-host. The obvious pick for RAG pipelines.
Check current Firecrawl pricing →
