Scrape JavaScript-heavy sites and extract structured data via reusable CSS schemas. A portable agent skill that wraps the
Scrape JavaScript-heavy sites and extract structured data via reusable CSS schemas. A portable agent skill that wraps the Crawl4AI CLI and Python SDK, written in the Anthropic SKILL.md format and consumable by any. Exposed over MCP by the crawl4ai skill mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Everything the assistant can do here goes through one of these:
Schema — based extraction**: derive a CSS selector schema once via LLM, apply it forever with no further LLM costPath — ContentsSKILL.md — Entry point: trigger conditions, defaults, routing to specialized pipelinesVERSION — Pinned Crawl4AI library version the skill is verified againstScript — Purposecrawl4ai on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
The skill calls into the Crawl4AI Python library, which must be installed in the runtime your agent uses: crawl4ai-doctor validates the install and confirms a headless browser is available.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Crawl4ai Skill's toolset — Schema, Path, SKILL.md and 2 more — is a fair guide to whether it matches your workflow. It is maintained by brettdavies; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Schema | based extraction**: derive a CSS selector schema once via LLM, apply it forever with no further LLM cost |
| Path | Contents |
| SKILL.md | Entry point: trigger conditions, defaults, routing to specialized pipelines |
| VERSION | Pinned Crawl4AI library version the skill is verified against |
| Script | Purpose |
{
"mcpServers": {
"crawl4ai-skill": {
"command": "uvx",
"args": ["crawl4ai"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
The skill calls into the Crawl4AI Python library, which must be installed in the runtime your agent uses: crawl4ai-doctor validates the install and confirms a headless browser is available.
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