seo-firecrawl
Full-site crawling, scraping, and site mapping via Firecrawl MCP.
Skill by Infrasity-Labs
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/infrasity-labs-seo-firecrawl
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: marketing, agent-building
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What's inside
- Skill name
seo-firecrawl- Description
- Full-site crawling, scraping, and site mapping via Firecrawl MCP. Use when user says "crawl site", "map site", "full crawl", "find all pages", "broken links", "site structure", "discover pages", "JS rendering", or needs site-wide analysis.
- License
- MIT
- Compatibility
- Requires Firecrawl MCP server
- Metadata
- category: seo
- Instructions
- 187 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Firecrawl Extension for Claude SEO This skill requires the Firecrawl extension to be installed: ```bash ./extensions/firecrawl/install.sh ``` **Check availability:** Before using any Firecrawl tool, verify the MCP server is connected by checking if `firecrawl_scrape` or any Firecrawl tool is available. If tools are not available, inform the user the extension is not installed and provide install instructions. ## Quick Reference | Command | Purpose | |---------|---------| | `/seo firecrawl crawl <url>` | Full-site crawl with content extraction | | `/seo firecrawl map <url>` | Discover site structure (URLs only, fast) | | `/seo firecrawl scrape <url>` | Single-page scrape with JS rendering | | `/seo firecrawl search <query> <url>` | Search within a crawled site | ## Commands ### crawl -- Full-Site Crawl Crawl an entire website starting from the given URL. Returns page content, metadata, and links for all discovered pages. **MCP Tool:** `firecrawl_crawl` **Parameters:** - `url` (required): Starting URL to crawl - `limit`: Max pages to crawl (default: 100, max: 500) - `maxDepth`: Max link depth from start URL (default: 3) - `includePaths`: Array of glob patterns to include (e.g., `["/blog/*"]`) - `excludePaths`: Array of glob patterns to exclude (e.g., `["/admin/*", "/api/*"]`) - `scrapeOptions.formats`: Output formats -- `["markdown", "html", "links"]` **SEO Usage Patterns:** 1. **Comprehensive audit crawl**: Crawl full site, extract all pages for subagent analysis 2. **Section-focused crawl**: Use `includePaths` to audit only `/blog/*` or `/products/*` 3. **Broken link detection**: Crawl with `["links"]` format, check all hrefs for 404s 4. **Content inventory**: Extract all page titles, meta descriptions, H1s at scale 5. **SPA/JS-rendered sites**: Firecrawl renders JavaScript, solving the Issue #11 problem **Example orchestration for `/seo audit`:** ``` 1. firecrawl_map(url) -> get all URLs (fast, no content) 2. Filter to top 50 most important pages (homepage, key sections) 3. firecrawl_crawl(url, limit=50) -> get full content 4. Feed content to seo-technical, seo-content, seo-schema agents ``` **Cost awareness:** - Free tier: 500 credits/month - 1 credit = 1 page crawled or scraped - Map operations are cheaper (0.5 credits per URL discovered) - Always inform user of estimated credit usage before large crawls ### map -- Site Structure Discovery Discover all URLs on a website without fetching content. Fast and credit-efficient. **MCP Tool:** `firecrawl_map` **Parameters:** - `url` (required): Website URL to map - `limit`: Max URLs to discover (default: 5000) - `search`: Optional search term to filter URLs **SEO Usage Patterns:** 1. **Sitemap comparison**: Map site, compare discovered URLs vs XML sitemap 2. **Orphan page detection**: URLs in sitemap but not linked from any page 3. **Crawl budget analysis**: Total indexable pages vs pages linked from homepage 4. **URL pattern analysis**: Identify URL structure patterns, duplicates, parameter bloat 5. **Pre-audit discovery**: Run map first, then targeted crawl on key sections **Output:** Array of URLs. Present as: ``` Site: example.com Pages discovered: 342 URL Pattern Breakdown: /blog/* - 128 pages (37%) /products/* - 89 pages (26%) /category/* - 45 pages (13%) /pages/* - 32 pages (9%) / (root pages) - 48 pages (14%) ``` ### scrape -- Single-Page Deep Scrape Scrape a single page with full JavaScript rendering. More thorough than `fetch_page.py` because it executes JS and waits for dynamic content. **MCP Tool:** `firecrawl_scrape` **Parameters:** - `url` (required): Page URL to scrape - `formats`: Output formats -- `["markdown", "html", "links", "screenshot"]` - `onlyMainContent`: Strip nav/footer/sidebar (default: true) - `waitFor`: CSS selector or milliseconds to wait for content - `timeout`: Request timeout in ms (default: 30000) - `actions`: Browser actions before scraping (click, scroll, wait) **SEO Usage Patterns:** 1. **SPA content extraction**: Scrape JS-rendered React/Vue/Angular pages 2. **Dynamic content audit**: Pages with lazy-loaded content below the fold 3. **Paywall/login detection**: Identify content behind authentication walls 4. **Main content extraction**: Use `onlyMainContent` for clean E-E-A-T analysis 5. **Screenshot capture**: Use `screenshot` format for visual analysis **When to use scrape vs fetch_page.py:** | Scenario | Use | |----------|-----| | Static HTML page | `fetch_page.py` (no API cost) | | JS-rendered SPA | `firecrawl_scrape` (renders JS) | | Need response headers | `fetch_page.py` (returns headers) | | Need clean markdown | `firecrawl_scrape` (better extraction) |
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Signals
- Stars
- 144
- Forks
- 16
- Open issues
- 1
- Last commit (this folder)
- Jun 15, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Done for you
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Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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seo-firecrawl skill. Agent Mart. https://agentmart.dev/skills/infrasity-labs-seo-firecrawl (last updated 2026-10-24)