Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Download Instagram Reels, transcribe audio, and extract captions. Share a reel URL and get back a full transcript with the original description.
Download Instagram Reels, transcribe audio, and extract captions. Share a reel URL and get back a full transcript with the original description.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Download Instagram Reels, transcribe the audio, and extract the caption/description.
Install required tools: pip install yt-dlp apt install ffmpeg # or: brew install ffmpeg Get a free Groq API key at https://console.groq.com Set your environment variable: export GROQ_API_KEY="your-groq-api-key"
Process a reel in three steps: extract metadata, download audio, transcribe.
yt-dlp --write-info-json --skip-download -o "/tmp/reel" "REEL_URL" This writes /tmp/reel.info.json with the caption, uploader, CDN URLs, and other metadata. No login required for public reels.
Extract the audio CDN URL from metadata and download it directly: AUDIO_URL=$(python3 -c " import json d = json.load(open('/tmp/reel.info.json')) for f in d.get('formats', []): if f.get('ext') == 'm4a': print(f['url']) break ") curl -sL "$AUDIO_URL" -o /tmp/reel-audio.m4a ffmpeg -y -i /tmp/reel-audio.m4a -acodec libmp3lame -q:a 4 /tmp/reel-audio.mp3
curl -s https://api.groq.com/openai/v1/audio/transcriptions \ -H "Authorization: Bearer $GROQ_API_KEY" \ -F "file=@/tmp/reel-audio.mp3" \ -F "model=whisper-large-v3-turbo" \ -F "response_format=verbose_json" Returns JSON with text (full transcript) and segments (with timestamps). Language is auto-detected.
python3 -c " import json d = json.load(open('/tmp/reel.info.json')) print('Caption:', d.get('description', 'No caption')) print('Author:', d.get('uploader', 'Unknown')) print('Duration:', round(d.get('duration', 0)), 'seconds') "
Metadata extraction works on public reels without authentication For private reels, pass cookies: yt-dlp --cookies /path/to/cookies.txt --write-info-json --skip-download -o "/tmp/reel" "REEL_URL" Export cookies with a browser extension like "Get cookies.txt LOCALLY" Groq Whisper is free (rate-limited) and returns results in ~1-2 seconds Max audio length: 25 minutes per request Clean up temp files after: rm -f /tmp/reel.info.json /tmp/reel-audio.* Also works with TikTok, YouTube Shorts, and other platforms supported by yt-dlp
# Full transcription pipeline yt-dlp --write-info-json --skip-download -o "/tmp/reel" "https://www.instagram.com/reel/ABC123/" && \ AUDIO_URL=$(python3 -c "import json; [print(f['url']) for f in json.load(open('/tmp/reel.info.json')).get('formats',[]) if f.get('ext')=='m4a'][:1]") && \ curl -sL "$AUDIO_URL" -o /tmp/reel-audio.m4a && \ ffmpeg -y -i /tmp/reel-audio.m4a -acodec libmp3lame -q:a 4 /tmp/reel-audio.mp3 2>/dev/null && \ curl -s https://api.groq.com/openai/v1/audio/transcriptions \ -H "Authorization: Bearer $GROQ_API_KEY" \ -F "file=@/tmp/reel-audio.mp3" \ -F "model=whisper-large-v3-turbo" \ -F "response_format=verbose_json" # Just get the caption (no transcription) yt-dlp --write-info-json --skip-download -o "/tmp/reel" "https://www.instagram.com/reel/ABC123/" && \ python3 -c "import json; d=json.load(open('/tmp/reel.info.json')); print(d.get('description',''))" # Transcribe a TikTok video (same pipeline) yt-dlp --write-info-json --skip-download -o "/tmp/reel" "https://www.tiktok.com/@user/video/123" && \ AUDIO_URL=$(python3 -c "import json; [print(f['url']) for f in json.load(open('/tmp/reel.info.json')).get('formats',[]) if f.get('ext')=='m4a'][:1]") && \ curl -sL "$AUDIO_URL" -o /tmp/reel-audio.m4a && \ ffmpeg -y -i /tmp/reel-audio.m4a -acodec libmp3lame -q:a 4 /tmp/reel-audio.mp3 2>/dev/null && \ curl -s https://api.groq.com/openai/v1/audio/transcriptions \ -H "Authorization: Bearer $GROQ_API_KEY" \ -F "file=@/tmp/reel-audio.mp3" \ -F "model=whisper-large-v3-turbo" \ -F "response_format=verbose_json"
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