companies of all sizes
See why teams choose
Firecrawl over Hyperbrowser.
When comparing Firecrawl vs Hyperbrowser, the difference comes down to data quality, a unified API, and simple pricing.
Clean, structured data for AI pipelines
Firecrawl returns clean markdown and structured JSON your AI agents can use on every request. Hyperbrowser focuses on browser sessions — markdown output is available but secondary to browser automation.
See use casesThe complete web data toolkit
One API call to scrape, search, interact, and more - no browser scripts needed.
See docsPredictable credit-based pricing
Firecrawl charges 1 credit per scrape, and plans start at the Hobby tier ($19/month billed monthly, or $16/month billed annually). Hyperbrowser bills per hour of browser time plus per-GB proxy fees, making costs harder to predict as sessions scale.
See pricingFirecrawl 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 Hyperbrowser comparison, Firecrawl delivers LLM-ready output, transparent pricing, and a unified API without managing browser sessions.

“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.”

















