companies of all sizes
See why teams choose
Firecrawl over Bright Data.
When comparing Firecrawl vs Bright Data, the difference comes down to clean data, simple pricing, and speed out of the box.
Clean, reliable data for AI pipelines
Firecrawl turns any URL into clean, structured data your AI agents can use directly. Interact with pages before scraping — click, fill forms, navigate — all in one API, unlike Bright Data where browser interaction is a separate product.
See use casesPredictable pricing that scales
Firecrawl charges 1 credit per scrape with no surprise bills. Bright Data's per-GB, per-request, and per-record billing across multiple products makes costs harder to predict at scale.
See pricingSub-second response times
Firecrawl is optimized for real-time agent workflows. Bright Data requests route through proxy and unblocking layers, adding latency overhead to every call.
See benchmarksFirecrawl 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 Bright Data comparison, the difference comes down to LLM-ready output, transparent pricing, a unified API, and agent onboarding that takes seconds — not weeks of infrastructure setup.

“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.”

















