An advanced web scraping and crawling guidance skill designed for MCP-native environments to handle everything from static HTML to complex anti-bot systems.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install scrapling-yoo
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 scrapling-yoo using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Scrapling is a comprehensive web scraping skill that provides a robust guidance layer and MCP integration for modern web extraction. It bridges the gap between simple data fetching and industrial-scale crawling by offering strategic patterns for anti-bot bypass, JS rendering, and adaptive selector management. By leveraging the Scrapling MCP server, developers can execute precise extractions while using this skill to determine the most efficient fetcher or spider strategy for any given target. It is a vital addition to your collection of Openclaw Skills.
Whether you are dealing with static pages, React-based SPAs, or sites protected by Cloudflare and Turnstile, Scrapling provides the necessary logic to succeed. It features an Anti-Bot Escalation Ladder and Adaptive Scraping capabilities that allow your scripts to survive website redesigns automatically, ensuring your data pipelines remain resilient and anti-fragile.
First, install Scrapling with the necessary MCP and browser dependencies:
pip install scrapling[mcp,playwright]
python -m playwright install chromium
Next, integrate the skill into your OpenClaw MCP configuration to expand your available Openclaw Skills:
{
"mcpServers": {
"scrapling": {
"command": "python",
"args": ["-m", "scrapling.mcp"]
}
}
}
Scrapling organizes extraction data through structured fetch modes and flexible export formats to ensure high data integrity.
| Component | Description |
|---|---|
| Fetcher Modes | Supports fetch_page (HTTP), fetch_dynamic (JS), and fetch_stealthy (Anti-bot). |
| Selectors | Utilizes standard CSS/XPath alongside Adaptive fingerprints for resilient targeting. |
| Spider Logic | Uses managed crawl directories with checkpoints to support pause and resume functionality. |
| Output Formats | Native support for streaming JSONL, pretty-printed JSON, and raw Python objects. |
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