A powerful AI-driven article search tool utilizing the GSData Qingbo Open Platform to track public opinion and media trends across the web.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install qingbo-search
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 qingbo-search 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 GSData Qingbo Article Search?
The GSData Qingbo Article Search skill is a professional-grade integration designed for the Openclaw Skills ecosystem. It leverages the robust GSData/Qingbo Open Platform API to perform deep searches for articles and public opinion data based on specific keywords, timeframes, and media types.
This skill enables developers and analysts to bypass manual searching by providing an automated interface to query vast amounts of media data. By integrating this into your workflow, you can programmatically access article titles, URLs, and metadata from major social platforms and news outlets, making it an indispensable tool for media monitoring and digital strategy.
GSData Qingbo Article Search Use Cases
- Tracking brand mentions and public opinion across WeChat, Weibo, and news websites.
- Conducting historical research on specific technology or economic trends within defined date ranges.
- Performing sentiment analysis on regional news to gauge localized public reaction.
- Automating daily media briefings and statistical reports on specific industry keywords using Openclaw Skills.
How GSData Qingbo Article Search Works
- The user submits a natural language query specifying keywords and optional filters like time or platform.
- The skill utilizes natural language processing to extract parameters such as keywords, date ranges, and media categories.
- It generates a secure authentication signature using the provided app credentials and constructs a GET request to the GSData API.
- The system executes the API call to the search endpoint to retrieve matching article data.
- The results are parsed and formatted, presenting the user with article lists or statistical distributions.
GSData Qingbo Article Search Setup
To deploy this skill within your Openclaw Skills environment, follow these steps:
- Register a developer account at the GSData/Qingbo Open Platform.
- Create an application in your dashboard to obtain your
app_keyandapp_secret. - Configure your local
config.jsonwith your credentials:
{
"app_key": "YOUR_APP_KEY",
"app_secret": "YOUR_APP_SECRET"
}
- Ensure you have sufficient points/credits in your GSData account as API calls consume platform points.
GSData Qingbo Article Search Data Schema & Taxonomy
The skill interacts with the GSData API using a structured schema to ensure high-quality data retrieval for Openclaw Skills users:
| Parameter | Description | Required |
|---|---|---|
keywords_include |
The primary search keywords | Yes |
posttime_start/end |
Filters for publication date range | No |
media_type |
Specifies platforms (e.g., WeChat, Weibo, News) | No |
news_emotion |
Filters by sentiment (Positive, Negative, Neutral) | No |
refer_province |
Filters results by geographical origin | No |
Returned data includes a newsList array containing objects with news_title, news_url, news_posttime, and media_name fields, alongside a total numFound count.
GSData Qingbo Article Search Advanced Features
- Advanced statistical analysis to calculate the total volume of articles and media distribution for any given topic.
- Sentiment-based filtering to isolate negative or positive public opinion trends automatically.
- Duplicate detection leveraging the
sim_hashfield to ensure search results are unique and relevant. - Multi-dimensional sorting capabilities allowing users to organize results by time, relevance, or influence via Openclaw Skills.
SKILL.md
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