據 AlphaMoat 統計,截至 2026-09,video-download 累計下載 3,229 次、獲 3 個星標,在全部 5,078 個 AI 技能中排名第 3,525 位,在「設計創意」分類(512 個)中排名第 323 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 104 | 3229 | 3 | 4 |
各平台的計數口徑不同,統計時間不一致。
文件列出多種影片站點,並提供文字、SRT、VTT 或 JSON 等輸出選擇;流程依賴 yt-dlp、ffmpeg 和 Faster Whisper,首次執行可能下載模型。帶登入資訊的 cookies 檔案屬於敏感憑據,使用前需確認素材授權、目標網站規則和本地儲存位置。 僅字幕模式可能回退為下載並轉錄完整影片,執行前應先確認。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 3229 | — | 3 |
| 2026-08 | 3062 | +2.3% | 3 |
| 2026-07 | 2994 | +8.0% | 3 |
| 2026-06 | 2773 | — | 3 |
| 2026-03 | 1649 | — | 3 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
---
name: video-download
description: Download videos from 1800+ websites and generate subtitles using Faster Whisper AI. Use when user wants to download videos from YouTube, Bilibili, Twitter, TikTok, Facebook, Vimeo, or any other supported video site, extract audio, or transcribe video content to text/subtitles.
metadata:
{
"openclaw":
{
"homepage": "https://github.com/upupc/video-download",
"emoji": "🎬",
"requires": { "bins": ["python", "ffmpeg"], "env": [] }, "primaryEnv": "",
"install": [
{
"id": "pip",
"kind": "pip",
"packages": ["yt-dlp", "yt-dlp-ejs", "ffmpeg-python", "faster-whisper", "tqdm"],
"label": "Install dependencies (pip)",
}
],
},
}
---
# Video Download & Subtitle Generation
This skill downloads videos from 1800+ websites and generates subtitles using Faster Whisper AI.
## Supported Websites
This skill supports downloading from virtually any video website thanks to yt-dlp. Some popular ones include:
**Video Platforms:**
- YouTube, YouTube Shorts
- Bilibili (哔哩哔哩), Niconico (ニコニコ動画)
- TikTok, Douyin (抖音)
- Twitter/X, Facebook, Instagram
- Vimeo, Dailymotion
- Twitch (clips, VODs), Kick
- Rutube, VK Video
**Chinese Platforms:**
- iQiyi (爱奇艺), Youku (优酷), MangoTV (芒果TV)
- Weibo Video, Douyu (斗鱼), Huya (虎牙)
**International:**
- Netflix, Disney+, HBO Max, Amazon Prime Video
- BBC iPlayer, ITV, Channel 4
- ARD, ZDF, Arte
For the complete list of 1800+ supported sites, see: [yt-dlp supported extractors](https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites.md)
Local document about supported sites: references/supportedsites.md
**Important:** If you see an error like `Sign in to confirm you’re not a bot`, you should use the `cookiefile` parameter for authenticated downloads. See the `cookiefile` usage section at the end of this document.
## Prerequisites
Ensure the following Python packages are installed:
- `yt-dlp` - For downloading videos from any supported site
- `yt-dlp-ejs` - External JavaScript for yt-dlp supporting many runtimes
- `ffmpeg-python` - For audio extraction
- `faster-whisper` - For speech-to-text transcription (faster and more memory-efficient than openai-whisper). **Note**: The first run will download models from HuggingFace (default: small, ~3GB). A VPN is required for mainland China users.
- `tqdm` - For progress bar display during transcription
Install via pip:
```bash
pip install yt-dlp yt-dlp-ejs ffmpeg-python faster-whisper tqdm
```
ffmpeg must also be installed on your system
## Usage
### Command Line
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads"}'
```
## Parameters
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `urls` | array | Yes | List of video URLs from any supported website |
| `output` | string | No | Output directory (default: "./downloads") |
| `model` | string | No | Faster Whisper model size: tiny, base, small, medium, large, large-v2, large-v3, turbo (default: "small") |
| `transcribe` | boolean | No | Whether to transcribe video to subtitle (default: true) |
| `subtitle_format` | string | No | Subtitle format: txt, srt, vtt, json (default: "txt") |
| `download_subtitle` | boolean | No | Download video's built-in subtitles if available (default: false) |
| `onlysubtitle` | boolean | No | Only download subtitles. When `true`, the script uses `skip_download + writesubtitles + writeautomaticsub` internally (default: false) |
| `overwrite_subtitle` | boolean | No | Overwrite existing subtitle files (default: true, set to false to skip if exists) |
| `cookie` | string | No | Cookie header string; injected into `http_headers.Cookie` (default: "") |
| `cookiesfrombrowser` | string | No | Read cookies from browser (default: ""; injected only when non-empty) |
| `cookiefile` | string | No | Netscape-format cookie file path (default: ""; injected only when non-empty) |
## Output
The skill will:
1. Create a folder for each video (named after the video title)
2. Download the video file to that folder
3. Extract audio as WAV file
4. Generate transcript using Faster Whisper
5. Save subtitle as .txt file
Output structure:
```
downloads/
└── Video Title/
├── Video Title.mp4
├── Video Title.wav
└── Video Title.txt
```
## Examples
### Download YouTube video:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],"output":"./my_videos"}'
```
### Download Bilibili video:
```bash
python scripts/video_parser.py '{"urls":["https://www.bilibili.com/video/BV1xx411c7XD"],"output":"./downloads"}'
```
### Download TikTok video:
```bash
python scripts/video_parser.py '{"urls":["https://www.tiktok.com/@username/video/1234567890"],"output":"./tiktok"}'
```
### Download multiple videos from different sites:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO1","https://www.bilibili.com/video/BV1xx","https://twitter.com/user/status/123"],"output":"./videos"}'
```
### Download Twitch clip:
```bash
python scripts/video_parser.py '{"urls":["https://www.twitch.tv//channel/clip/ClipName"],"output":"./clips"}'
```
### Download only (without transcription):
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","transcribe":false}'
```
### Generate SRT subtitle:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","subtitle_format":"srt"}'
```
### Generate VTT subtitle:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","subtitle_format":"vtt"}'
```
### Download video with built-in subtitles:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","download_subtitle":true}'
```
### Download with custom Faster Whisper model:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","model":"large"}'
```
### Skip transcription if subtitle already exists:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","overwrite_subtitle":false}'
```
### Download video with Cookie:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","cookie":"sid=xxx; token=yyy"}'
```
### Download video with cookies from browser:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","cookiesfrombrowser":"chrome"}'
```
### Download video with cookie file:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","cookiefile":"/path/to/cookies.txt"}'
```
### Only download subtitles:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","onlysubtitle":true,"cookiefile":"/path/to/cookies.txt"}'
```
`cookiefile` usage:
- Install the **Get cookies.txt LOCALLY** Chrome extension first.
URL: <https://chromewebstore.google.com/detail/get-cookiestxt-locally/cclelndahbckbenkjhflpdbgdldlbecc?pli=1>
- Log in to the target website, then use the extension to export `cookies.txt` to your local machine.
- Set `cookiefile` to that local file path, for example:
```bash
python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","cookiefile":"/Users/yourname/Downloads/cookies.txt"}'
```
## Troubleshooting
- **ffmpeg not found**: Install ffmpeg via `brew install ffmpeg` (macOS) or your system's package manager
- **Faster Whisper model download fails**: Models are downloaded from HuggingFace. Mainland China users need a VPN/proxy to download models. The default small model is ~75MB.
- **Download fails**: Some videos may be geo-restricted, age-gated, or unavailable. Check the video URL and try again.
- **Cookie/auth required**: Some sites need authentication. You can pass cookies via yt-dlp options if needed.
ContextWeave 架構圖一鍵生成
用 Nano Banana Pro 生成或編輯圖片的指令碼技能。
用 whisper 命令列工具在本機將音訊轉成文字或進行翻譯。
透過 MCP 服務生成與編輯圖表的技能。
面向介面設計的思路與落地建議技能,覆蓋佈局、互動流程、設計令牌與前端改動。
面向多家影片模型 API 的 AI 影片生成與編排技能。
用 ffmpeg 從影片裡取出畫面幀,或生成便於快速檢視的縮圖。
用本地 Whisper 把音訊檔案轉成文字,模型下載完成後可完全離線執行。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。