companies of all sizes
See why teams choose
Firecrawl over Brave Search API.
When comparing Firecrawl vs Brave Search API, the difference comes down to full page content, one search call that reaches the web and 90+ data providers, and open-source flexibility.
Clean, reliable data for AI pipelines
Firecrawl turns any URL into clean markdown and structured JSON your models can use directly. Brave Search API returns search snippets and LLM Context chunks, which work for grounding but stop short of the full page content that extraction and RAG pipelines need.
See use casesFirecrawl Alexandria and first-party indexes
Brave searches its own web index. One Firecrawl search call reaches the web and 90+ data providers through Firecrawl Alexandria: first-party sources such as SEC EDGAR, FRED, and the World Bank, plus Firecrawl's own Developer Index of 70M+ READMEs, issues, pull requests, and docs, and Research Index of 43M+ paper abstracts.
Explore Firecrawl AlexandriaTurn entire websites into LLM-ready markdown or structured data.
Open source and self-hostable
Run on your own infrastructure with full source code, 180K+ GitHub stars.
See on GitHubFirecrawl leads on quality + token efficiency.
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
Token efficiency for coding agents.
Median LLM tokens a coding agent spends per task with each search API, on 100 hard retrieval tasks. Lower is better. Firecrawl ranks first of 14 configurations search-only and third when the agent may fetch pages; Brave's LLM Context endpoint ranks sixth of 14 search-only and has no entry on the fetch board.
Independent benchmark by OpenBenchmarks, published as most token-efficient web search API for coding agents. 100 hard retrieval tasks on documentation questions, run through each web search API with the same coding agent, model, and prompts. The metric is the median number of LLM tokens the agent spent per task, reported beside task completion. A pass requires a grounded source URL from that run. Search-only and search-and-fetch are separate boards. Brave was tested through its LLM Context endpoint and, with no fetch endpoint of its own, appears on the search-only board only. Runner and scoring are public at openbenchmarks-labs/web-search-for-coding-agents.
· Figures from the run of Sep 15, 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 Brave Search API comparison, the difference comes down to full page content, a unified single-key API that also reaches data providers and first-party indexes, open-source flexibility, and structured data extraction.
“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.”