A high-performance recursive crawler that transforms entire website sections into clean Markdown via a local-first API approach.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install markdown-new-crawl
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install markdown-new-crawl using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Markdown.New Crawl is an advanced tool within the Openclaw Skills ecosystem designed for deep data extraction. It enables developers and AI agents to recursively crawl specific site sections, converting HTML content into structured Markdown. By prioritizing a local-first access model via curl, it provides a robust alternative to standard browser-based scraping.
This skill is particularly effective for documentation harvesting and knowledge base construction. It handles complex tasks like asynchronous job polling, JavaScript rendering for SPAs, and granular URL filtering, ensuring that the resulting data is clean, formatted, and ready for LLM consumption or static site generation.
To integrate this into your Openclaw Skills workflow, use standard terminal utilities. No complex authentication is required for basic operations.
# Start a new crawl job
curl -X POST "https://markdown.new/crawl" \
-H "Content-Type: application/json" \
-d '{"url":"https://docs.example.com","limit":50}'
# Check job status
curl "https://markdown.new/crawl/status/<jobId>"
The skill organizes data based on crawl jobs, offering flexible output formats for different integration needs.
| Feature | Specification |
|---|---|
| Default Format | Concatenated Markdown documents |
| Structured Format | JSON per-page records (via ?format=json) |
| Retention | 14 days for job IDs and associated data |
| Page Limit | 1-500 pages per individual crawl job |
| Depth | 1-10 levels of recursive link following |
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