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Weibo Tesla Brand Mentions — Latest Posts & Sentiment

Track what Chinese consumers post about Tesla on Weibo by searching the keyword Tesla and its Chinese name 特斯拉 on the realtime tab, no Weibo login needed. Each row contains the post text, posting time, author name, followers and verification label, province, reposts, comments and likes, the promoted flag, a sentiment score for the Chinese text and a link to the post.

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Weibo Scraper — Posts, Comments, Profiles & Hot Search
Weibo Scraper — Posts, Comments, Profiles & Hot Searchinsights_data/weibo-scraper
Row type
Mode
Post
Profile
+21 fields
Text
Number
Boolean
List
Object

Input

🚀 What to scrape:search
🔗 Weibo links, IDs or keywords:Tesla
💯 Max results:15
📂 Search results tab:realtime
😊 Sentiment:true

Output fields

Row type
Mode
Post
Profile
Link
Text
Title
Name
Author
Posted at
Reposts
Comments
Likes
Like count
Followers
Heat
Rank
Board
Topic
Query
Relation
Post id
Comment id
User id
Complaint id

How it works

Sign up on Apify or log in

The Weibo Scraper — Posts, Comments, Profiles & Hot Search Actor is ready to run with the inputs already set for "Weibo Tesla Brand Mentions — Latest Posts & Sentiment". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Weibo Tesla Brand Mentions — Latest Posts & Sentiment" task

The Weibo Scraper — Posts, Comments, Profiles & Hot Search Actor will start running based on the input automatically. You can also change all the input fields, like 🚀 what to scrape, 🔗 weibo links, ids or keywords, and more, to match your specific use case.

Receive the "Weibo Tesla Brand Mentions — Latest Posts & Sentiment" 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 row type, mode, post, 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 Tesla Brand Mentions — Latest Posts & Sentiment" task via API.

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