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Bilibili hot comments and reply threads

Collect a bounded hot-comment sample and replies from the prefilled public video, with video metadata and thread linkage.

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Bilibili Comments Scraper: Hot Comments & Reply Threads
Bilibili Comments Scraper: Hot Comments & Reply Threadsxmolodtsov/bilibili-comments-scraper
type
videoTitle
authorName
text
+4 fields
Text
Number
Boolean
List
Object

Input

Video URLs or IDs:https://www.bilibili.com/video/BV1xx411c7mD
Maximum videos per keyword:10
Search order:totalrank
Maximum comments and replies per video:20
Comment order:hot
Include reply threads:true
Maximum replies per root comment:20
Include video rows:true
Include experimental danmaku:false
Maximum danmaku per video:200
Proxy configuration:{1 field}

Output fields

type
videoTitle
authorName
text
likeCount
replyCount
publishedAt
videoUrl

How it works

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The Bilibili Comments Scraper: Hot Comments & Reply Threads Actor is ready to run with the inputs already set for "Bilibili hot comments and reply threads". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Bilibili hot comments and reply threads" task

The Bilibili Comments Scraper: Hot Comments & Reply Threads Actor will start running based on the input automatically. You can also change all the input fields, like video urls or ids, maximum videos per keyword, and more, to match your specific use case.

Receive the "Bilibili hot comments and reply threads" 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, videotitle, authorname, 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 hot comments and reply threads" task via API.

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