An automated tool to search for Douyin live broadcasts by location and visualize their geographic distribution on Baidu Maps.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install live-location-mapper
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 live-location-mapper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Live Location Mapper is a specialized tool designed to bridge the gap between real-time social media activity and geographic visualization. By utilizing this skill within the Openclaw Skills ecosystem, developers can programmatically search for active Douyin (TikTok China) live streams based on specific landmarks or regions.
The skill identifies active streamers, extracts their location metadata, and converts that data into precise coordinates using the Baidu Maps API. The final output is a high-quality static map image with custom markers, providing a visual heat map of digital activity and foot traffic estimation for any given area.
To utilize this skill, you must first secure a Baidu Maps API Key (AK).
pip install requests
The skill organizes spatial and social data into the following structure:
| Attribute | Description | Data Type |
|---|---|---|
| Search Query | The target location name used on Douyin | String |
| Coordinates | The lat/lng pair retrieved via Baidu API | Tuple (Float) |
| Marker Config | Pipe-separated coordinates for static mapping | String |
| Output Image | The generated map file | PNG File |
| Location Metadata | Descriptive names of mapped points (e.g., The Bund) | String |
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