Overview
- Skill Key
- antoinedc/instagram-reels
- Author
- antoinedc
- Source Repo
- openclaw/skills
- Version
- 1.0.0
- Source Path
- skills/antoinedc/instagram-reels
- Latest Commit SHA
- a0fc8482c85a0d8d3052efc1d29baa2e248d2873
Download Instagram Reels, transcribe audio, and extract captions. Share a reel URL and get back a full transcript with the original description.
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Installs
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 instagram-reels 技能。 若已安装,则直接安装 instagram-reels 技能。
# 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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