A high-performance, adaptive web scraping engine designed to bypass modern anti-bot protections like Cloudflare Turnstile.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-stealth-scraper
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 agent-stealth-scraper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Agent Stealth Scraper is a next-generation scraping engine optimized for agentic intelligence. By leveraging the Scrapling framework, it provides parsing speeds up to 1000x faster than traditional tools like BeautifulSoup. It is one of the most resilient Openclaw Skills available for developers who need to navigate complex web environments without being blocked.
The skill uses adaptive element tracking and similarity algorithms to ensure that scripts continue to function even when website UIs change. This provides true information sovereignty through reliable data accessibility, making it an essential component of any sophisticated automation stack.
To begin using this tool among your other Openclaw Skills, execute the following command in your terminal:
npx openclaw skill run agent-stealth-scraper --url "https://target-website.com"
Ensure your environment supports asynchronous operations to take full advantage of the engine's scaling capabilities.
The skill produces structured data objects for every successful extraction. Below is the metadata taxonomy used by this entry in the Openclaw Skills collection:
| Attribute | Description |
|---|---|
| url | The target source URL for the scraping operation |
| status | Success state of the anti-bot bypass and HTTP request |
| extracted_data | The primary data payload retrieved from the page |
| method | The similarity algorithm used for element selection |
| timestamp | ISO-8601 formatted time of the data capture |
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