Overview
Manually sifting through Zhihu answer comments wastes time and misses patterns. This automation fetches comments by answer ID, validates retrieval, then leverages a large language model to organize and summarize them into clear, actionable insights—eliminating manual overload.
The Impact
- Kill manual comment scrubbing. Automatically grab and structure Zhihu answer comments efficiently.
- Flag key viewpoints fast. Use AI to extract hot replies and sentiment trends instantly.
- Skip data noise. Validate comment fetch success before processing.
- Audit output clarity. Generate readable summaries ready for immediate use.
Who This Is For
- Researchers needing rapid public opinion summaries from Zhihu comment pools.
- Content operators extracting frequent user feedback and questions for optimization.
- Product managers gathering and archiving user suggestions and pain points efficiently.
- Data analysts requiring structured comment data for sentiment and trend analysis.
How It Works
- Extract Answer ID
- Parse the Zhihu answer ID from the provided URL to identify the target comment thread.
- Fetch Comments
- Call Zhihu’s API with parameters Limit and Offset to retrieve a structured list of comments including user, content, likes, and timestamp.
- Validate Retrieval
- Check if comments were successfully fetched; if not, trigger failure message output.
- Organize Comments
- Feed comments and the original URL into a large language model to classify, summarize, and highlight key points.
- Output Results
- Deliver the organized summary text on success, or an error message if fetching failed.
What You'll Need
Before using this template, make sure you have:
- A valid Zhihu answer URL to extract the answer ID from.
- Network access to Zhihu’s public API endpoints for comment retrieval.
- Basic familiarity with setting numeric parameters for comment Limit and Offset.
- Access to a large language model capable of natural language classification and summarization.
How to Use
- Step 1. Provide Zhihu Answer URL
- Step 2. Set Comment Limit
- Step 3. Set Comment Offset
- Step 4. Run Workflow
- Step 5. Verify Output
Enter the complete URL of the target Zhihu answer, e.g., https://www.zhihu.com/question/12345/answer/67890.
Define the maximum number of comments to fetch per request, controlling data volume.
Specify how many comments to skip to paginate through large comment sets.
Execute the workflow to fetch, validate, organize, and summarize comments automatically.
Check the final organized text output or failure message to confirm successful operation.
