firecrawl-scrape
Scrape web pages and extract content via Firecrawl MCP
npx skills add majiayu000/claude-skill-registry --skill firecrawl-scrape --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Firecrawl Scrape Skill ## When to Use - Scrape content from any URL - Extract structured data from web pages - Search the web and get content ## Instructions ```bash uv run python -m runtime.harness scripts/firecrawl_scrape.py \ --url "https://example.com" \ --format "markdown" ``` ### Parameters - `--url`: URL to scrape - `--format`: Output format - `markdown`, `html`, `text` (default: markdown) - `--search`: (alternative) Search query instead of direct URL ### Examples ```bash # Scrape a page uv run python -m runtime.harness scripts/firecrawl_scrape.py \ --url "https://docs.python.org/3/library/asyncio.html" # Search and scrape uv run python -m runtime.harness scripts/firecrawl_scrape.py \ --search "Python asyncio best practices 2024" ``` ## MCP Server Required Requires `firecrawl` server in mcp_config.json with FIRECRAWL_API_KEY.
- When to Use
- Instructions
- Parameters
- Examples
- MCP Server Required
uv run python -m runtime.harness scripts/firecrawl_scrape.py \ Scrape a page Search and scrape
What does the firecrawl-scrape skill do?
Scrape web pages and extract content via Firecrawl MCP
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill firecrawl-scrape --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
