Crawl4AI FAQs

Question 1

What are the main benefits of using Crawl4AI over other solutions?

Accepted Answer

Crawl4AI offers reliable stdio transport to avoid connection issues, full control for easy extension and customization, superior error handling for graceful degradation, simplified debugging, and direct HTTP communication with the Crawl4AI Docker API.

Question 2

What is Crawl4AI and how does it integrate with Claude Code?

Accepted Answer

Crawl4AI is a custom Model Context Protocol (MCP) server that seamlessly integrates Crawl4AI's powerful web scraping and browsing features directly into Claude Code. It uses a reliable stdio-based transport for robust interaction.

Question 3

What core functionalities does Crawl4AI offer?

Accepted Answer

Crawl4AI provides versatile tools including extracting clean markdown or preprocessed HTML from webpages, capturing full-page PNG screenshots, generating PDF documents, executing custom JavaScript in a browser context, and crawling multiple URLs with configurable options.

Question 4

What are the prerequisites to get started with Crawl4AI?

Accepted Answer

To use Crawl4AI, you'll need Python 3.8 or higher, a running Crawl4AI Docker container (usually on port 11235), and Claude Code installed on your system. Installation involves setting up a virtual environment and configuring the MCP server.

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