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Bilibili Video Downloader

Data Analysis Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please follow https://skillhub.cn/install/skillhub.md and install @user_912ed068/bilibili-downloader-plus.

About this skill

Problem

Saving bilibili.com or b23.tv links locally is not just downloading: the workflow must decide whether the link is a single video or a collection, understand available quality, and avoid redundant work. This skill targets that video capture and archiving workflow.

How It Works

Core steps include:
- Inspect video metadata first: title, uploader, collection name, BV IDs, and episode list;
- Download a single video directly, or organize a collection by section subdirectories;
- Request the best available quality with bestvideo+bestaudio/best;
- When not logged in, quality may be limited to 480p/360p; higher quality requires explicit user consent before using --browser with cookies;
- Resume interrupted downloads with --download-archive, re-running skips completed videos.

Edge cases matter: 403, missing ffmpeg, or membership-only high-bitrate content can affect output. Quality probe failure does not block the task, but low-quality warnings should not be ignored.

Use Cases

  • Content operations staff need to save an UP host's tutorial series, downloading the collection locally by category.
  • Data analysts extract Bilibili metadata, identifying single episodes vs. collections to plan subsequent downloads.
  • Product managers need 1080p demo videos, requiring browser Cookie authorization to bypass quality limits.
  • Localization teams resume large batch downloads, automatically skipping completed files to save processing time.

Best For

  • Content operations specialists who need to archive Bilibili series courses or column videos for long-term use.
  • Market research analysts who collect competitor video assets and require high-resolution local storage.
  • Developers and designers who download multi-episode tutorials from UP hosts to create offline documentation.
  • Automation engineers who manage Bilibili download pipelines and rely on stable resume mechanisms.