AI-Powered Web Scraping

Bilibili Scraper for Videos, Comments, and Danmaku

Study how a Bilibili video performs and how viewers respond around specific moments. Gather visible video IDs, titles, durations, uploader details, engagement, comments, and time-stamped danmaku into analysis-ready rows, with the option to retain only counts or the full audience text your research needs.

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A quick playground: Try it yourself.

Keep Bilibili video research moving as numbers change

Use one workflow across public pages, process video lists in bulk, and refresh performance snapshots on a schedule.

Start on Bilibili or another public page

Thunderbit is not limited to one video site. Open the page you need, let AI recommend the visible fields, and tailor the output in natural language.

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Process Bilibili video lists in bulk

Paste a set of public video URLs and collect titles, BV IDs, upload dates, visible views, likes, coins, favorites, comments, or danmaku details in one run.

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Refresh changing video metrics on schedule

Return to the selected videos at the interval you choose. Fresh public counts can flow to your spreadsheet, giving each monitoring period a new snapshot.

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Follow Bilibili videos without maintaining selectors

Traditional scrapers depend on fixed positions and loading rules. Thunderbit AI reads visible video information.

A scraper wired to one Bilibili layout

Small changes create repair work
Selectors depend on fixed page positions
Video lists require pagination code
Dynamic counters can load too late
Recurring checks need separate automation
AI web scraper

Bilibili pages handled by Thunderbit

AI takes care of more setup
Visible video fields are recognized by meaning
Bulk URL lists run through one workflow
Schedules revisit the videos you select
Results export as structured records

Bilibili video and danmaku export fields

Depending on whether you crawl a watch page, channel video list, or multipart player, some fields below may be absent; exports mirror what was publicly visible during your run.

  • Video Title
  • BV Video ID
  • Video URL
  • Video Category
  • Video Description
  • Cover Image URL
  • Upload Date
  • Video Duration
  • Uploader Name
  • Uploader Profile URL
  • Uploader Follower Count
  • View Count
  • Danmaku Count
  • Like Count
  • Coin Count
  • Favorite Count
  • Comment Count
  • Share Count
  • Video Tags
  • Copyright or Repost Notice
  • AI-Generated Content Notice
  • Series or Collection Name
  • Episode or Part Number
  • Comment Text
  • Comment Author
  • Comment Like Count
  • Comment Reply Count
  • Comment Date
  • Danmaku Text
  • Danmaku Video Timestamp

See how users monitor changing web data with Thunderbit

Their videos show practical ways to turn repeated page checks into organized, exportable records.

Working with Bilibili video and danmaku data

Answers for research-oriented collection from public pages.

Need seeds? Gather BV IDs from Bilibili search or tag pages

First collect Video URL and BV Video ID from public search or tag listings to build a crawl queue, then return here to capture comments, danmaku, and recommendation context for each target video.

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