A production-ready skill for AI agents to directly extract titles and full body text from WeChat Official Account links using Playwright.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install shrimp-wechat-mp-reader
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 shrimp-wechat-mp-reader 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 WeChat MP Reader?
WeChat MP Reader is a specialized tool designed for AI agents to bridge the gap between article links and actionable content. Unlike other solutions that only provide prompts or conceptual methods, this Openclaw Skills package includes fully functional scripts to render, scrape, and parse WeChat Official Account articles. By utilizing Playwright for headless browser rendering, it bypasses common static scraping issues, ensuring that the AI agent receives the exact text and metadata required for summarization or data analysis.
WeChat MP Reader Use Cases
- Extracting full-text content from mp.weixin.qq.com links for immediate analysis.
- Automated summarization of WeChat articles within an AI workflow.
- Data mining and title extraction for newsletter or research curation.
- Integrating WeChat content into local knowledge bases or AI memory structures.
How WeChat MP Reader Works
- The AI agent identifies a WeChat article link provided by the user within the Openclaw Skills framework.
- The agent navigates to the skill directory and initializes the environment via a setup script.
- The run script is executed with the target URL, triggering a headless Playwright instance.
- The extraction script renders the page and pulls the article title and primary body text.
- Data is returned as a structured JSON object for the AI agent to process, summarize, or display.
WeChat MP Reader Setup
First, navigate to the skill directory within your Openclaw Skills workspace:
cd skills/wechat-mp-reader
bash scripts/setup.sh
To extract content from a specific article, use the run command:
bash run.sh <mp.weixin.qq.com_article_link>
WeChat MP Reader Data Schema & Taxonomy
The skill organizes its output into a structured format for easy parsing by AI agents.
| Key | Type | Description |
|---|---|---|
| title | string | The extracted title of the WeChat article |
| bodyText | string | The full text content of the article body |
Standard Directory Structure:
scripts/setup.sh: Environment and dependency initialization.scripts/extract.js: The Playwright-based scraper logic.run.sh: The main entry point for execution.package.json: Node.js dependencies for the extraction environment.
WeChat MP Reader Advanced Features
- Playwright-powered browser rendering to handle dynamic WeChat content and anti-scraping measures.
- Headless execution mode for seamless integration into server-side AI agents.
- Production-validated extraction logic that successfully parses real-world WeChat article structures.
- Integrated JSON reporting designed for immediate programmatic consumption by other Openclaw Skills.
SKILL.md
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