Firecrawl Dev
An open-source web scraper and crawler converting websites into LLM-ready clean data.
What is Firecrawl Dev?
Firecrawl is an open-source web scraper and crawler designed to convert web pages into clean, LLM-ready data such as Markdown and structured JSON. Often referred to by developers as a reliable firecrawler or simply fire crawl, it simplifies web data preparation for AI applications. Built with developer workflows in mind, the platform also offers a firecrawl mcp integration to bring web scraping capabilities directly into modern code editors. Compared to traditional alternatives like apify, it focuses on delivering clean, formatted data with minimal configuration.
Category
Best Firecrawl Dev use cases by task, role, industry, and platform
These use cases show where Firecrawl Dev fits best, ranked by fit score before popularity or pricing.
Firecrawl Dev Pricing Plans
Compare Firecrawl Dev free options, Firecrawl Dev paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Free, Hobby from $16/mo (billed yearly)
500 credits, scrape 500 pages, 2 concurrent browsers, low rate limits, no credit card required
3,000 credits per month, scrape 3,000 pages, 5 concurrent browsers
100,000 credits per month, scrape 100,000 pages, 50 concurrent browsers, standard support
500,000 credits per month, scrape 500,000 pages, 100 concurrent browsers, priority support
Unlimited credits, custom RPMs, bulk discounts, top priority support, custom concurrency limits, improved stealth proxies, and SLAs
Pricing updated:Jun 11, 2026
Firecrawl Dev AI Features
Firecrawl Dev Pros and Cons
Pros
- Handles complicated web blocks, CAPTCHAs, and rate limits out of the box
- Outputs clean Markdown natively suited for large language models
- Features an open-source version for self-hosting and community contribution
- Supports high concurrency browser operations on standard and growth plans
Limitations
- Rate limits apply on lower-tier options
- Structured data extraction (JSON format) consumes more credits per page than standard scraping