Do I need an API key to use this skill?

Yes, you will need a Firecrawl API key (starting with fc-) which can be obtained from the official Firecrawl dashboard.

Can it handle JavaScript-heavy websites?

Yes, this skill includes configurations for JavaScript rendering, allowing you to capture dynamic content that traditional scrapers often miss.

Is this skill compatible with both Python and TypeScript?

Absolutely. It provides standardized implementation patterns and SDK usage examples for both firecrawl-py and @mendable/firecrawl-js.

Firecrawl is a web data API specifically designed for AI applications, turning websites into clean markdown or structured JSON while handling complex browser interactions.

How does it help with RAG and LLM performance?

By converting messy HTML into clean markdown and stripping away non-essential content like ads, it reduces token usage and improves AI context relevance.

Firecrawl Web Scraper

Name: Firecrawl Web Scraper
Author: jackspace

byjackspace

•

ウェブスクレイピングとデータ収集

Converts websites into LLM-ready markdown or structured data using the Firecrawl v2 API.

概要

The Firecrawl Web Scraper skill equips Claude with specialized knowledge to transform entire websites into clean, AI-ready formats. It provides comprehensive patterns for single-page scraping, full-site crawling, and AI-driven structured data extraction, effectively handling modern web challenges like JavaScript rendering and anti-bot protections. Whether you are building a RAG pipeline, indexing documentation, or performing market research, this skill ensures you get high-quality content without the noise of ads, headers, or footers.

主な機能

2 GitHub stars
Crawl entire websites with depth limits and domain filtering.
Bypass anti-bot systems and CAPTCHAs automatically.
Extract structured data using AI-powered schema mapping.
Scrape single pages into clean, LLM-optimized markdown.
Execute browser actions for dynamic, JavaScript-heavy content.

ユースケース

Converting technical documentation into markdown for RAG systems.
Scraping clean news content by removing ads and navigation.
Automating structured product data extraction for e-commerce.

概要

主な機能

2 GitHub stars
Crawl entire websites with depth limits and domain filtering.
Bypass anti-bot systems and CAPTCHAs automatically.
Extract structured data using AI-powered schema mapping.
Scrape single pages into clean, LLM-optimized markdown.
Execute browser actions for dynamic, JavaScript-heavy content.

ユースケース

Converting technical documentation into markdown for RAG systems.
Scraping clean news content by removing ads and navigation.
Automating structured product data extraction for e-commerce.