Firecrawl CLI gives agents the complete web data toolkit for scraping, searching, and browsing. Try it now →
Trusted by 80,000+
companies of all sizes
companies of all sizes
[ 01 / 08 ]
·
Why Firecrawl
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.
apple.com
Endpoint
Scrape
Status
Success
Started
Mar 16, 2026
2:51 PM
Formats
Markdown
JSON
Clean, structured data for AI pipelines
Turn any URL into clean markdown and structured JSON your AI agents can use.
See use casesPages scraped
Last 7 days
1.2M
Mar 12
48,200 credits
03/0903/1203/16
One API for scrape, search, and browse
One API call to scrape, search, browse, and more - no browser scripts needed.
See docsURL
Crawl
Scrape
acme.com/pricing
312ms
287ms
docs.example.io
445ms
391ms
blog.corp.dev/ai
528ms
462ms
shop.store/items
376ms
341ms
news.site/latest
489ms
418ms
app.saas.co/api
298ms
264ms
Predictable credit-based pricing
One credit per scrape, no per-hour browser fees or per-GB proxy charges.
See pricing[ 02 / 08 ]
·
Benchmarks
Firecrawl leads on extraction quality.
And so much more.
Coverage
0%
success rate
Quality
0.000
F1 score for accuracy
Recall
0.000
content recall rate
Speed
0ms
P95 latency
[ 03 / 08 ]
·
Firecrawl vs. Hyperbrowser
Firecrawl is purpose-built for
AI agents and developers.
The best Hyperbrowser alternative for data extraction is one that delivers LLM-ready output, transparent pricing, and a unified API without managing browser sessions.
Firecrawl
JS / React rendering
Full JavaScript execution on every request
Full Chrome browser with JS rendering
Proxy support
Built-in rotating proxies at scale
Managed residential proxies with geo-targeting
AI agent support
Agent endpoint for autonomous web data gathering
Claude CU, OpenAI CUA, Browser-Use, Gemini
LLM-ready output by default
Clean markdown and structured JSON on every request
Scrape API returns markdown, but browser sessions are the core product
Predictable credit-based pricing
1 credit per scrape, from $83/mo for 100k credits
Per-hour browser billing plus per-GB proxy fees
Crawl entire websites
One API call with automatic sitemap discovery
Crawl API capped at 100 pages per job
Search + extract in one API call
Web search with full content extraction
Basic search, no combined extract workflow
Open source + self-hostable
AGPL license, 90k+ GitHub stars, full self-hosting
Proprietary cloud platform
Simple setup, one API call
Scrape any page with no browser management
Create session, connect tools, write automation
[ 04 / 08 ]
·
Customer Testimonials
“Firecrawl allows our customers to pull the web information they need directly in our product.”
Andrew Gardner
Sr. Engineer
“If your agent or LLM needs web content, Firecrawl delivers the best-formatted results.”
Zhen Li
Staff AI Engineer
“What makes Firecrawl essential is how it turns messy web data into clean, AI-ready content.”
Steven Tey
Founder & CEO
[ 05 / 08 ]
·
FAQs
Frequently asked questions
Yes. Firecrawl was built from day one for AI. It returns clean markdown and structured JSON out of the box with no post-processing needed. Hyperbrowser focuses on browser automation and session management; scraping APIs exist but markdown output is secondary to browser automation.
Firecrawl uses credit-based pricing starting at 1 credit per page for standard scrapes, with plans from $83/month for 100k credits. Hyperbrowser uses credits that map to per-hour browser time ($0.10/hr) plus per-GB proxy fees ($10/GB), making costs harder to predict as they scale with session duration and bandwidth usage.
Yes. Firecrawl is fully open source under the AGPL-3.0 license and can be self-hosted for complete control over your data, compliance, and infrastructure. Hyperbrowser's core platform is proprietary and cloud-only; only their HyperAgent library is open source.
Minutes. Firecrawl's API lets you scrape any page with a single API call with no browser management needed. Hyperbrowser also offers a scrape API, but its core product is browser sessions that require connecting Playwright or Puppeteer and writing automation scripts.
Firecrawl is optimized for speed with sub-second response times for many requests. In independent benchmarks using 1,000 URLs, Firecrawl achieved a 96% coverage rate with a 0.638 F1 accuracy score. Hyperbrowser's browser sessions have cold-start and session management overhead that adds latency to every request.
Yes. Firecrawl provides a unified API: scrape, search, crawl, and map all through one platform with a single API key. Hyperbrowser has basic search and scrape APIs, but they're secondary to browser session management, which is the platform's core focus.
Firecrawl is purpose-built for AI pipelines. It returns clean markdown ready for chunking and embedding, with structured extraction via natural language prompts or JSON Schema. Hyperbrowser offers scrape and crawl APIs that return markdown, but the platform is browser-first and its crawl is capped at 100 pages per job.
Replace your browser session setup, Playwright/Puppeteer scripts, and parsing logic with a single call to Firecrawl's /scrape endpoint. No sessions to manage, no browser lifecycle code. Firecrawl offers SDKs for Python, Node.js, Go, Rust, and Java, so you can swap in a few lines regardless of your language. Most teams complete the migration in under a day.
Yes. Firecrawl is SOC 2 Type II compliant with GDPR compliance and DPA available. Enterprise plans include zero data retention and 99.9% SLA. You can self-host for air-gapped environments or use the managed cloud. Over 500,000 developers and 80,000+ companies use Firecrawl.
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