Compare Bright Data and Firecrawl side by side. Both are tools in the Web Scraping category.
Updated March 10, 2026
Choose Bright Data if largest proxy network globally with 150+ million IPs.
Choose Firecrawl if lLM-ready output with clean Markdown and structured JSON.
| Category | Web Scraping | Web Scraping |
| Pricing | — | Freemium |
| Best For | — | Developers who need to turn web content into clean, structured data for LLM applications |
| Website | brightdata.com | firecrawl.dev |
| Key Features | — |
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| Use Cases | — |
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Bright Data, originally established as Luminati Networks in 2014, is an Israeli technology company founded by Derry Shribman and Ofer Vilenski that offers web data collection and proxy services. Headquartered in Netanya, Israel, Bright Data provides the world largest proxy network with over 150 million IP addresses and comprehensive web scraping tools. The company offers multiple pricing models including pay-per-GB for proxies (USD 2.50-10.50 per GB), pay-per-request for APIs (USD 0.75-2.50 per 1,000 requests), and subscription models for datasets starting at USD 250 per 100,000 records. The Web Scraper API uses flat-rate pricing at USD 0.001 per record, while datacenter proxies start at approximately USD 0.11 per GB and residential proxies at USD 8.40 per GB. Enterprise minimums typically start at USD 500-1,000+. While Bright Data offers powerful scraping capabilities and a massive proxy network, users report unpredictable bills, complex pricing structures with multiple hidden costs, and scaling expenses that can quickly exceed expectations.
Firecrawl is an API-first web scraping and crawling platform founded in 2024 by Eric Ciarla, Caleb Peffer, and Nicolas Silberstein Camara. Based in San Francisco with a team of 15 employees, Firecrawl has quickly become one of the most popular enterprise tools for web scraping, raising USD 14.5 million in Series A funding led by Nexus Venture Partners with participation from Shopify CEO Tobias Lütke and Y Combinator. The platform specializes in transforming chaotic webpage content into clean Markdown or structured JSON, making it ideal for AI and LLM applications.
Firecrawl's core technology executes JavaScript, waits for content to load, and bypasses common blockers, reliably accessing 96% of the web by managing proxy rotation and CAPTCHA solving. The platform offers unique capabilities like natural language extraction through its /extract endpoint, allowing developers to specify what data they want in plain English instead of writing brittle CSS selectors. Firecrawl's open-source core (AGPL-3.0 license) enables teams to self-host and extend the tool, avoiding vendor lock-in while benefiting from enterprise-grade features.
While Firecrawl excels at providing LLM-ready output and handling JavaScript-heavy sites, users should be aware of its credit-based pricing model which can be unpredictable, especially for advanced features. The platform intentionally blocks major social media platforms and requires developer knowledge to use effectively. Despite some limitations on heavily protected sites, Firecrawl's comprehensive approach to web scraping and focus on AI-ready output make it a valuable tool for developers building data-intensive applications.
Tools for crawling, scraping, and extracting structured data from websites and web pages, converting web content into LLM-ready formats for AI applications.
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