A zero-dependency Python tool for extracting clean, noise-free text from WeChat Official Accounts, blogs, and news websites.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install article-extract
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install article-extract using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Article Extract?
Article Extract is a powerful utility within the Openclaw Skills library designed to solve the problem of web clutter. It specifically targets the extraction of core content from various web sources, including the notoriously difficult WeChat Official Account platform. By stripping away scripts, styles, and navigation elements, it provides a clean text stream perfect for data analysis, archival, or feeding into large language models.
As part of the Openclaw Skills ecosystem, this tool emphasizes simplicity and efficiency. It doesn't require complex browser engines or heavy dependencies, making it an ideal choice for developers who need reliable text extraction with minimal overhead.
Article Extract Use Cases
- Scraping WeChat Official Account articles for research and analysis.
- Converting blog posts and news articles into clean text for e-readers.
- Automating the collection of web-based training data for AI models.
- Bypassing basic anti-scraping headers to access public information.
How Article Extract Works
- The tool sends an HTTP request to the provided URL using a standard browser User-Agent string.
- It receives the raw HTML and begins a sanitization process.
- Non-content tags such as