Build a Weibo topic corpus for grounded retrieval
Created by
Khadin Akbar
Build a Weibo topic corpus for grounded retrieval. Automated data extraction with structured output for spreadsheets, CRMs, and AI agents. Powered by khadinakba
Weibo Scraper - Hot Topics & Public Postskhadinakbar/weibo-scraper
Record type
Hot topic text
Hot topic rank
Author name
+5 fieldsTextNumberBooleanListObject
Input
Scraping mode:searchPosts
Search queries:人工智能
Maximum records:20
Maximum pages per source:2
Output fields
Record type
Hot topic text
Hot topic rank
Author name
Post text
Likes
Comments
Source URL
Scraped at
Sign up on Apify01
Create your Apify account to access the Weibo Scraper - Hot Topics & Public Posts.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
