An automated search and data extraction skill for finding restaurant ratings, costs, and locations on Dianping.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-dianping
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 openclaw-dianping using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Dianping Query skill is a powerful tool designed for Openclaw Skills to automate the process of finding dining information on China's leading restaurant platform. It enables AI agents to bypass common regional positioning issues by using specific city-based URLs, ensuring accurate results for locations like Hangzhou, Shanghai, and Beijing.
This skill is particularly effective for users who need to aggregate restaurant data including star ratings, average costs per person, and physical addresses without manual browsing. By leveraging Openclaw Skills for automated tab management and data extraction, it transforms raw search results into structured dining recommendations.
To use this skill with Openclaw Skills, ensure your browser tool is configured and navigate to the desired city portal:
# Example: Accessing the Hangzhou portal directly to bypass positioning issues
https://www.dianping.com/hangzhou
If the account is not logged in, manual intervention for SMS verification may be required once to establish the session.
The skill extracts and organizes data into the following schema:
| Field | Description |
|---|---|
| Restaurant Name | The official merchant name with its detail link |
| Rating | Numerical star rating (e.g., 4.2 stars) |
| Average Cost | Mean spend per person in CNY (¥) |
| Location | Full address or district information |
| Features | Recommended dishes and specialty descriptions |
| Review Summary | A synthesized overview of user feedback |
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