What is the difference between scraping and mapping?

Scraping fetches the actual content of a specific page, while mapping discovers and lists all available URLs on a website to help you understand its structure.

How does this Firecrawl skill save tokens in Claude Code?

Unlike standard MCP servers that can use up to 14k tokens just for definitions, this skill returns clean markdown and truncates output at 8,000 characters to keep your context window lean.

Can I extract specific JSON data from a webpage?

Absolutely. Use the /firecrawl:extract command with a --prompt and optional --schema flag to tell the LLM exactly which data points you want to pull.

Do I need a separate API key for this skill?

Yes, you must set a FIRECRAWL_API_KEY environment variable. You can obtain a key from the official firecrawl.dev website.

Firecrawl Web Scraper

Name: Firecrawl Web Scraper
Author: nathanvale

bynathanvale

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Web Scraping & Data Collection

Scrapes websites, searches the web, and extracts structured data from pages using the token-efficient Firecrawl API.

About

Firecrawl for Claude Code provides a streamlined interface for web scraping and search, specifically optimized for AI context limits. It allows developers to quickly fetch clean markdown from URLs, map entire site structures, and perform deep web searches without the token bloat typical of standard MCP servers. By truncating output and providing structured extraction via LLM prompts, it enables high-velocity research and data collection directly within the terminal, making it ideal for developers who need to ingest documentation or live web data during their coding sessions.

Key Features

Site mapping to discover and list all URLs within a specific domain
Clean, ADHD-friendly slash commands for rapid hyperfocus workflows
Token-efficient markdown scraping with automatic 8000-character truncation
1 GitHub stars
Advanced web search with support for exact phrases and site-specific operators
LLM-powered data extraction using natural language prompts and JSON schemas

Use Cases

Ingesting and summarizing external documentation for library research
Mapping site architectures to locate specific resources or API endpoints
Extracting structured pricing or feature data from competitor websites

About

Key Features

Site mapping to discover and list all URLs within a specific domain
Clean, ADHD-friendly slash commands for rapid hyperfocus workflows
Token-efficient markdown scraping with automatic 8000-character truncation
1 GitHub stars
Advanced web search with support for exact phrases and site-specific operators
LLM-powered data extraction using natural language prompts and JSON schemas

Use Cases

Ingesting and summarizing external documentation for library research
Mapping site architectures to locate specific resources or API endpoints
Extracting structured pricing or feature data from competitor websites