# bilibili-creator-videos-scraper

> bilibili-creator-videos-scraper — zhangyinruizhang-lgtm-bilibili-creator-videos-scraper. Use this tool when you need to extract video metrics and creator profile data from Bilibili, a Chinese video-sharing platform. It solves the problem of manually collecting data on views, likes, and other engagement metrics for UP creators, providing a comprehensive overview of their uploaded videos and follower profiles. The scraper takes a Bilibili UP creator as input and outputs detailed video statistics and profile information.

Canonical page: https://skillsregistry.net/skills/zhangyinruizhang-lgtm-bilibili-creator-videos-scraper  
JSON: https://api.skillsregistry.net/v1/skills/zhangyinruizhang-lgtm-bilibili-creator-videos-scraper

## Description

Bilibili Creator Videos & UP Profile Scraper API (哔哩哔哩UP主投稿与粉丝画像爬虫) — Extract all uploaded videos (user_videos) with full 7-metric stats (views, likes, coins, favorites, coin-per-view ratio) and KOL follower profiles from any Bilibili UP creator without -352 blocks or login.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-10-31

## Source

- **Source listing:** [GitHub](https://github.com/zhangyinruizhang-lgtm/bilibili-creator-videos-scraper)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zhangyinruizhang-lgtm-bilibili-creator-videos-scraper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhangyinruizhang-lgtm-bilibili-creator-videos-scraper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhangyinruizhang-lgtm-bilibili-creator-videos-scraper/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt