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instagram-reels

Download Instagram Reels, transcribe audio, and extract captions. Share a reel URL and get back a full transcript with the original description.

antoinedc0 source installs☆ 0 Repository starsv1.0.0

Installation

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Skill instructions

Instagram Reels Skill

Download Instagram Reels, transcribe the audio, and extract the caption/description.

Setup

  1. Install required tools:
pip install yt-dlp
apt install ffmpeg    # or: brew install ffmpeg
  1. Get a free Groq API key at https://console.groq.com
  2. Set your environment variable:
export GROQ_API_KEY="your-groq-api-key"

Usage

Process a reel in three steps: extract metadata, download audio, transcribe.

Step 1: Extract metadata and audio URL
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.

Step 2: Download audio and convert to mp3

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
Step 3: Transcribe with Groq Whisper
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.

Extract caption from metadata
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')
"

Notes

  • Metadata extraction works on public reels without authentication
  • For private reels, pass cookies: `yt-dlp --cookies /path/to/cookies.txt --write-info-json --s...

Source information

Source
github
Repository
openclaw/skills
Path
skills/antoinedc/instagram-reels
Version
1.0.0
Commit
a0fc8482c85a0d8d3052efc1d29baa2e248d2873
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Instagram Reels Skill

Download Instagram Reels, transcribe the audio, and extract the caption/description.

## Setup

1. Install required tools:

```bash
pip install yt-dlp
apt install ffmpeg    # or: brew install ffmpeg
```

2. Get a free Groq API key at [https://console.groq.com](https://console.groq.com)
3. Set your environment variable:

```bash
export GROQ_API_KEY="your-groq-api-key"
```

## Usage

Process a reel in three steps: extract metadata, download audio, transcribe.

### Step 1: Extract metadata and audio URL

```bash
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.

### Step 2: Download audio and convert to mp3

Extract the audio CDN URL from metadata and download it directly:

```bash
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
```

### Step 3: Transcribe with Groq Whisper

```bash
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.

### Extract caption from metadata

```bash
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')
"
```

## Notes

- Metadata extraction works on public reels without authentication
- For private reels, pass cookies: `yt-dlp --cookies /path/to/cookies.txt --write-info-json --s...

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