A comprehensive tool for parsing social media links to retrieve and download watermark-free videos, audio, and image galleries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install parse-video
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 parse-video 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 Video Link Parser & Downloader?
The Video Link Parser is a robust utility designed for the Openclaw Skills ecosystem that allows users to extract direct media links from various social platforms. By simply providing a sharing URL, the skill identifies the source and returns clean, high-definition download paths for videos without watermarks, original audio tracks, and full image sets.
This skill is particularly valuable for researchers, content creators, and developers who need to programmatically access media assets from platforms like TikTok, YouTube, Bilibili, and Xiaohongshu. As part of the Openclaw Skills library, it offers a seamless integration between cloud-based parsing and local file management.
Video Link Parser & Downloader Use Cases
- Archiving high-quality, watermark-free videos from Douyin and TikTok for offline viewing or reference.
- Extracting full-resolution image galleries from Xiaohongshu posts for design inspiration.
- Downloading background music and audio tracks from Bilibili and YouTube videos.
- Automating media collection workflows by integrating the parser with other Openclaw Skills and local scripts.
How Video Link Parser & Downloader Works
- The user inputs a sharing link or a text block containing a URL into the parse_video tool.
- The MCP tool processes the link to bypass watermarks and extract direct resource URLs.
- The tool returns a structured JSON object containing the title, thumbnail, and various media URLs.
- A local Python script, provided within the skill directory, is then used to download the selected assets to the user's machine.
Video Link Parser & Downloader Setup
To get started with this entry in your Openclaw Skills collection, ensure you have Python installed on your system. The parsing is handled via MCP, while the download requires the local script.
# Navigate to the skill directory
cd .cursor/skills/parse-video
# The tool is invoked via the MCP interface.
# To download a parsed resource, use the provided script:
python scripts/download.py --video "https://example.com/video.mp4" --name "MyVideo" --output ~/Downloads
Video Link Parser & Downloader Data Schema & Taxonomy
The skill returns a comprehensive data structure to ensure compatibility with various Openclaw Skills workflows:
| Property | Type | Description |
|---|---|---|
| success | boolean | Whether the link was successfully parsed |
| title | string | The title or description of the media post |
| video_url | string | The primary watermark-free video download link |
| video_urls | array | A list of all available video quality variants |
| audio_url | string | The direct link to the audio track |
| image_urls | array | A list of image links for gallery-type posts |
| parse_time | string | The timestamp of the parsing operation |
Video Link Parser & Downloader Advanced Features
- Multi-platform support including TikTok, Instagram, YouTube, Douyin, Kuaishou, Weibo, and Bilibili.
- Ability to parse links embedded within large blocks of text automatically.
- Support for multi-image gallery downloads with a single command.
- Customizable output directories and file naming conventions via the CLI script.
- Completely free to use with no authentication or API keys required for most Openclaw Skills users.
SKILL.md
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