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Weibospider

Use this general example to start a public Weibo collection with the keyword weibo. It uses searchTerms with one term, keeps promotedPostFilter at all, leaves includeSentiment false, and stops after one saved item. The dataset includes post text, links, author details, counts, and other fields when Weibo provides them.

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Weibo Scraper for Posts and Feeds
Weibo Scraper for Posts and Feedsmaximedupre/weibo-scraper
Record type
Post ID
Post URL
Text
+33 fields
Text
Number
Boolean
List
Object

Input

Result type(required):searchPosts
Search terms:weibo
Post promotion:all
Include sentiment:false
Maximum items:1

Output fields

Record type
Post ID
Post URL
Text
Published at
Author
Quoted post
Reposts
Comments
Likes
Shares
Promoted
Topics
Mentions
Posting source
Location
Image URLs
Video URLs
Sentiment
Search term
User ID
Username
Display name
Profile URL
Bio
Verified
Verification type
Followers
Following
Posts
Relationship
Comment ID
Topic
Rank
Heat
Category
Topic URL

How it works

Sign up on Apify or log in

The Weibo Scraper for Posts and Feeds Actor is ready to run with the inputs already set for "Weibospider". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Weibospider" task

The Weibo Scraper for Posts and Feeds Actor will start running based on the input automatically. You can also change all the input fields, like result type, search terms, and more, to match your specific use case.

Receive the "Weibospider" 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 record type, post id, post url, 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 "Weibospider" task via API.

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