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Bilibili Chinese-language corpus — bulk keyword sweeps

Bulk Chinese-language text from Bilibili for AI training and research: the 500 newest videos for a keyword (titles, tags, uploader, engagement) plus up to 50 top-level comments each. As configured that is at most 25,500 rows, up to $510 at $0.02/row. For a trial, lower maxResults and maxComments (20 videos x 10 comments = at most 220 rows, $4.40). Optional publish-date filter.

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Bilibili Scraper — Videos, Comments, Danmaku & Creator Uploads
Bilibili Scraper — Videos, Comments, Danmaku & Creator Uploadszhorex/bilibili-scraper
Type
BVID
Title
Views
+5 fields
Text
Number
Boolean
List
Object

Input

Mode(required):search
Search query:科技
Sort order (search mode):pubdate
Max results (raise for bulk monitoring):500
Also scrape comments for each video:true
Max comments per video:50
Duration filter (search mode):any
Sentiment analysis:false

Output fields

Type
BVID
Title
Views
Likes
Danmaku
Favorites
Author
URL

How it works

Sign up on Apify or log in

The Bilibili Scraper — Videos, Comments, Danmaku & Creator Uploads Actor is ready to run with the inputs already set for "Bilibili Chinese-language corpus — bulk keyword sweeps". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Bilibili Chinese-language corpus — bulk keyword sweeps" task

The Bilibili Scraper — Videos, Comments, Danmaku & Creator Uploads Actor will start running based on the input automatically. You can also change all the input fields, like mode, search query, and more, to match your specific use case.

Receive the "Bilibili Chinese-language corpus — bulk keyword sweeps" 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 type, BVID, title, 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 "Bilibili Chinese-language corpus — bulk keyword sweeps" task via API.

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