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Weibo posts + comments for sentiment research

Collect Weibo posts on a topic together with the comments under each post (here: 新能源汽车, electric vehicles), with likes and commenter region. Clean text ready to feed to your own LLM for sentiment, translation or summaries. No login, no proxy.

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Weibo Scraper 微博 – Search, Posts, Comments & Hot Search
Weibo Scraper 微博 – Search, Posts, Comments & Hot Searchsmoldesk/weibo-scraper
Published at
Author name
Text
Likes count
+5 fields
Text
Number
Boolean
List
Object

Input

Search keywords:新能源汽车
Max posts per search:10
Include comments:true
Max comments per post:20
Max replies per comment:0

Output fields

Published at
Author name
Text
Likes count
Reply count
Is reply
Region
Post url
Type

How it works

Sign up on Apify or log in

The Weibo Scraper 微博 – Search, Posts, Comments & Hot Search Actor is ready to run with the inputs already set for "Weibo posts + comments for sentiment research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Weibo posts + comments for sentiment research" task

The Weibo Scraper 微博 – Search, Posts, Comments & Hot Search Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, max posts per search, and more, to match your specific use case.

Receive the "Weibo posts + comments for sentiment research" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as published at, author name, text, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Weibo posts + comments for sentiment research" task via API.

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