A specialized utility for programmatically extracting titles, media assets, and engagement metrics from Douyin and Xiaohongshu.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install social-parser
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 social-parser 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 Social Media Content Parser?
The social-parser skill is a technical integration for Openclaw Skills that leverages the gnomic CLI to bridge the gap between social media platforms and your development environment. It provides a structured way to scrape and analyze content from Douyin (TikTok China) and Xiaohongshu (Little Red Book), enabling users to retrieve raw data that is typically difficult to access through standard browsers.
By utilizing this skill, developers and marketers can automate the retrieval of high-quality assets, including watermark-free video URLs, high-resolution cover images, and full-text descriptions. It is an essential component of the Openclaw Skills ecosystem for anyone performing competitive research or content auditing on Chinese social platforms.
Social Media Content Parser Use Cases
- Automating the collection of watermark-free video assets for content archival.
- Scraping Xiaohongshu note text and image arrays for sentiment and trend analysis.
- Monitoring competitor engagement metrics such as likes, shares, and comments on Douyin.
- Extracting specific tags and author metadata to build creator databases.
How Social Media Content Parser Works
- The user provides a URL or sharing text from Douyin or Xiaohongshu to the AI agent.
- The skill parses the input to isolate the platform-specific URL (supporting both full URLs and short-links like v.douyin.com).
- The agent executes the corresponding gnomic social command (dy-video or xhs-note) through the CLI.
- The gnomic tool communicates with remote APIs to fetch the requested content metadata.
- The resulting JSON payload is processed and formatted into a structured response for the user, rendering images and videos where appropriate.
Social Media Content Parser Setup
To use this skill within Openclaw Skills, you must have the gnomic-cli installed on your system. Run the following command to install it via npm:
npm install -g gnomic-cli
Once installed, the agent can call the CLI directly. Ensure your environment has outbound network access to reach the social media platform APIs.
Social Media Content Parser Data Schema & Taxonomy
The skill organizes its output into a standardized JSON structure. Note that available fields differ slightly between platforms:
| Data Field | Douyin (dy-video) | Xiaohongshu (xhs-note) |
|---|---|---|
| title | Video title/header | Note title |
| media_url | Watermark-free video link | Image URL array or Video link |
| description | Full video caption | Full note body content |
| metrics | Likes, shares, and comments | Not supported |
| author_info | Nickname and Author ID | Not supported |
| tags | Array of hashtags | Not supported |
Social Media Content Parser Advanced Features
- Smart URL extraction from complex app-sharing text templates.
- Support for the -f text flag to generate human-readable summaries instead of raw JSON.
- Automated expansion of shortened sharing links for both supported platforms.
- Extraction of high-resolution video covers and image galleries without platform watermarks.
SKILL.md
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