Bilibili Specified Video Danmaku Extractor

Problem

When analyzing Bilibili video danmaku, the main issue is turning scattered on-screen comments into structured data: you need appearance time, type, color, send timestamp, and a readable timeline. This skill targets a specified video, accepts a URL or BV identifier, and outputs JSON plus Markdown for downstream ingestion, cleaning, or quick review.

How It Works and Boundaries

Core capabilities:
- Danmaku extraction: it resolves the video information to get the cid, then calls the public Bilibili danmaku endpoint to collect rolling, bottom, and top danmaku types.
- Structured export: the JSON output includes video metadata and a danmaku array with fields such as text, time, type, type_code, color, and timestamp.
- Readable export: the Markdown output lists danmaku in video time order, which is useful for notes, reports, or ad-hoc analysis.
- No login required: it uses public APIs, does not ask for account credentials, and handles gzip-compressed responses.
Key steps: parse input → fetch video info → request danmaku data → parse fields → write files to the output directory. Boundaries: network access to the Bilibili API is required; high request rates may trigger 412/403 errors; missing danmaku or a failed cid lookup can return 0 items; completeness depends on the actual danmaku present in the video.