JayceBatallones

Instagram Reel Extractor — Communication skill for Claude Code

Communication community

Claude Code skill to extract transcripts, metadata, music, comments, and key frames from Instagram Reels.

How to install Instagram Reel Extractor

This entry records only its repository, not the path inside it, so there is no exact command to give. Open JayceBatallones/instagram-reel-extractor and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Instagram Reel Extractor does

Claude Code skill to extract transcripts, metadata, music, comments, and key frames from Instagram Reels.

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README

Instagram Reel Extractor

A Claude Code skill that extracts transcripts, metadata, music, comments, and key frames from Instagram Reels — so you can analyze, repurpose, and build on content without manually rewatching videos.

The Problem

You find an Instagram Reel with a great script, a trending audio, or a content format you want to study. But to actually use any of it, you need to:

Rewatch the reel multiple times to manually transcribe what was said
Shazam the audio separately to figure out the background music
Screenshot individual frames to reference the visual style or text overlays
Copy-paste the caption and manually extract hashtags
Scroll through comments to understand what resonated with the audience

This is tedious, slow, and doesn't scale. If you're a content creator, marketer, or strategist studying what works on Instagram, you're spending more time extracting information than actually using it.

The Solution

Paste a Reel URL and get everything extracted into a single structured markdown file in seconds:

/instagram-reel-extractor https://www.instagram.com/reel/ABC123/

The skill downloads the video, transcribes the audio with AI, identifies the background music, pulls all metadata, extracts key frames, and saves it all as a clean markdown document you can reference, search, and repurpose.

What Gets Extracted

Feature	How It Works
Full transcript	OpenAI Whisper (runs locally, free, no API key)
Timestamped segments	Every sentence mapped to its timecode
Music identification	Shazam audio fingerprinting with song, artist, genre, and link
Creator info	Display name, handle, profile ID
Engagement metrics	Likes, comments count (as of extraction date)
Caption & hashtags	Full original caption with hashtag list
Top comments	Comment text, author, and like counts
Key frames	Screenshots every N seconds (co