A specialized tool for scraping WeChat Official Account article lists, content, and links for advanced research and archival purposes.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hermione-wechat-article
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 hermione-wechat-article using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The WeChat Article Scraper is a robust integration designed for the Openclaw Skills library that enables developers and researchers to programmatically access content from WeChat Official Accounts. It automates the process of searching for specific accounts, retrieving comprehensive article lists, and extracting direct article links.
By leveraging authenticated sessions, this skill bypasses the common hurdles of accessing WeChat's closed ecosystem, making it an essential utility for digital marketing analysis, public sentiment monitoring, and data-driven content strategy within Openclaw Skills.
To use this tool within Openclaw Skills, you must first configure your authentication credentials:
Cookie string from the Request Headers.~/.openclaw/skills/wechat-article/scripts/wechat_cookie.env
Run the scraper using the following command:
python3 ~/.openclaw/skills/wechat-article/scripts/wechat_article.py "Account Name" [Article Count]
The skill organizes extracted data and configuration as follows:
| File/Element | Description |
|---|---|
wechat_article.py |
The main execution script for fetching data. |
wechat_cookie.env |
Environment file storing the required session Cookie. |
Article List |
Metadata including Title, Publication Date (if available), and Permalink. |
Search Results |
Account IDs and profile information derived from keywords. |
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