Firecrawl FAQs

Name: Firecrawl
Author: firecrawl

Question 1

What are Firecrawl's main features?

Accepted Answer

Key features include comprehensive web scraping, crawling, and discovery, advanced search and content extraction, deep research and efficient batch scraping, automatic retries, intelligent rate limiting, and versatile support for both cloud and self-hosted environments with SSE.

Question 2

What is Firecrawl?

Accepted Answer

Firecrawl is a powerful tool designed to integrate web scraping and content extraction capabilities directly into Large Language Model (LLM) clients such as Cursor and Claude, providing them with real-time, structured web data.

Question 3

Is Firecrawl available for self-hosting?

Accepted Answer

Absolutely. While Firecrawl offers a cloud API for ease of use, it also provides comprehensive support for self-hosted instances, allowing users to deploy and manage the scraping infrastructure within their own environment.

Question 4

Can Firecrawl handle large-scale data extraction?

Accepted Answer

Yes, Firecrawl is built for deep research and batch scraping, featuring efficient parallel processing, smart request queuing, throttling, and automatic retries to ensure robust and reliable data collection even for large-scale operations.

Question 5

How does Firecrawl integrate with LLMs?

Accepted Answer

Firecrawl serves as a Model Context Protocol (MCP) server, allowing LLM clients like Cursor, Claude, and others (e.g., Windsurf, VS Code) to seamlessly access its web scraping, crawling, and content extraction functions, enriching the LLM's knowledge base.

Firecrawl

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