companies of all sizes
See why teams choose
Firecrawl over Steel.
When comparing Firecrawl vs Steel, the difference comes down to getting structured data from one API call instead of writing browser automation code.
Clean, reliable data for AI pipelines
Firecrawl returns LLM-ready markdown and structured JSON on every request — no browser automation code needed. Steel provides raw browser sessions; extraction, cleaning, and formatting are left entirely to the developer.
See use casesThe complete web data toolkit
One API call to scrape, search, interact, and more - no Puppeteer needed.
See docsCrawl thousands of pages at once
Firecrawl's /crawl endpoint handles an entire site in one API call with automatic sitemap discovery and async processing. Steel has no crawling API — you navigate pages one by one via browser sessions.
See docsFirecrawl leads on extraction quality.
And so much more.
Internally conducted benchmark, run Jan 13, 2026. Tested 1,000 URLs drawn from diverse public web domains (news, documentation, e-commerce, finance, and more) and measured whether each tool retrieved at least 10% of the expected content — defined as core page text, excluding navigation, ads, and footers. Dataset publicly available at the Firecrawl scrape-content-dataset-v1.
· Figures from the run of Jan 13, 2026
Measured performance
Published Firecrawl results, each with the dataset it was measured on and the date it was run. Follow a row to the run it comes from.
| Metric | Value | Dataset | Measured | Source |
|---|---|---|---|---|
| Coverage (success rate) | 96% | Scrape coverage and quality, 1,000 URLs | Jan 13, 2026 | Methodology |
| Extraction accuracy (F1) | 0.638 | Scrape coverage and quality, 1,000 URLs | Jan 13, 2026 | Methodology |
| Content recall | 0.639 | Scrape coverage and quality, 1,000 URLs | Jan 13, 2026 | Methodology |
| Latency (P95) | 3,387 ms | Scrape coverage and quality, 1,000 URLs | Jan 13, 2026 | Methodology |
Scrape coverage and quality scored against the public dataset firecrawl/scrape-content-dataset-v1, so the inputs are checkable. The harness is not published yet, so the run cannot be reproduced end to end.
Every benchmark Firecrawl runs is listed on /benchmarks.
Firecrawl is purpose-built for
AI agents and developers.
In any Firecrawl vs Steel comparison, the difference comes down to LLM-ready output by default, a unified API for scraping and crawling, and no browser automation code required.

“Firecrawl allows our customers to pull the web information they need directly in our product.”
“If your agent or LLM needs web content, Firecrawl delivers the best-formatted results.”
“What makes Firecrawl essential is how it turns messy web data into clean, AI-ready content.”
“It was just a matter of plugging in the Firecrawl API, feeding it a URL, and getting clean markdown in return.”
“Firecrawl is the easiest way to extract relevant content from a website.”
“We send over 15 million requests per month to Firecrawl, so every builder has the data they need to bring their app to life.”

















