A high-fidelity scraper that extracts real-time hot search data directly from the official Baidu board without using simulated data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install baidu-hot-real
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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Help me install baidu-hot-real using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Baidu Hot Real-time Search Scraper is a robust tool designed for developers and researchers who need 100% authentic trending data from China's leading search engine. Unlike other tools that might rely on potentially deprecated APIs or simulated datasets, this skill directly interfaces with the official Baidu board to provide accurate, up-to-the-minute information.
As a core component of Openclaw Skills, it leverages high-efficiency web fetching to capture not just the titles of trending topics, but also their ranking, specific category labels, and status markers such as 'Hot' or 'New'. This ensures that any application or analysis built upon this data reflects the true pulse of the current digital landscape in China.
To integrate this capability into your Openclaw Skills workflow, ensure you have Python 3 and the necessary dependencies installed. You can execute the script directly from your CLI:
# Fetch the top 10 results
python3 scripts/baidu_real.py 10
# Fetch the default top 50 results
python3 scripts/baidu_real.py
# Fetch the complete ranking board
python3 scripts/baidu_real.py all
The skill organizes extracted information into a structured format containing the following fields:
| Field | Type | Description |
|---|---|---|
| rank | int | The numerical position (1-50) |
| title | string | The headline or hot search query |
| mark | string | Visual markers (e.g., 🔥 for 'Hot', 🆕 for 'New') |
| link | string | The direct URL to the search results |
| category | string | Automatically identified content classification |
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