| name | grab |
| description | Download and archive content from URLs (tweets, X articles, Reddit, YouTube). Saves media, text, transcripts, and AI summaries into organized folders. |
| homepage | https://github.com/jamesalmeida/grab |
| when | User shares a URL and wants to download/save/grab it, or asks to download a tweet video, YouTube video, Reddit post, or any media from a URL |
| examples | ["grab this https://x.com/...","download this tweet","save this video","grab https://youtube.com/...","grab this reddit post"] |
| tags | ["download","media","twitter","youtube","reddit","transcript","archive"] |
| metadata | {"openclaw":{"emoji":"🫳","requires":{"bins":["yt-dlp","ffmpeg","whisper"]},"install":[{"id":"yt-dlp","kind":"brew","formula":"yt-dlp","bins":["yt-dlp"],"label":"Install yt-dlp (brew)"},{"id":"ffmpeg","kind":"brew","formula":"ffmpeg","bins":["ffmpeg"],"label":"Install ffmpeg (brew)"},{"id":"openai-whisper","kind":"brew","formula":"openai-whisper","bins":["whisper"],"label":"Install Whisper (brew)"}]}} |
grab 🫳
Download and archive content from URLs into organized folders.
Setup
Dependencies
brew install yt-dlp ffmpeg openai-whisper
Save Location
On first run, grab asks where to save files (default: ~/Dropbox/ClawdBox/).
Config stored in ~/.config/grab/config. Reconfigure anytime with grab --config.
Transcription (Local Whisper)
Transcription runs locally via Whisper (turbo model) — no API key or network calls needed.
AI Summaries & Smart Titles (Optional)
Set OPENAI_API_KEY to enable:
- AI-generated summaries of content
- Smart descriptive folder names (from transcript/image analysis)
Without it, everything still works — you just won't get summaries or auto-renamed folders.
What It Does
Tweets (x.com / twitter.com)
tweet.txt — tweet text, author, date, engagement stats
video.mp4 — attached video (if any)
image_01.jpg, etc. — attached images (if any)
transcript.txt — auto-transcribed from video (if video)
summary.txt — AI summary of video (if video)
- Folder named by content description
X Articles
article.txt — full article text with title, author, date
summary.txt — AI summary of article
- Agent handles via OpenClaw browser snapshot
- Script exits with code 2 and
ARTICLE_DETECTED:<id>:<url> when it detects an article
Reddit
post.txt — title, author, subreddit, score, date, body text
comments.txt — top comments with authors and scores
image_01.jpg, etc. — attached images or gallery (if any)
video.mp4 — attached video (if any)
transcript.txt — auto-transcribed from video (if video)
summary.txt — AI summary of post + discussion
- If Reddit JSON API is blocked (exit code 3), agent uses OpenClaw browser
YouTube