Intelgram 🔎

Intelgram is an Instagram OSINT CLI for profile reconnaissance, media analysis, network mapping, and data export.

⚠️ For educational use. You are responsible for complying with Instagram Terms of Service and applicable laws.

What it does

• Analyze profiles, followers/following, and engagement
• Download media, stories, highlights, and profile pictures
• Run OSINT workflows (taggedin, locationconnect)
• Switch targets during a live session (target, cleartarget)
• Export results to JSON/CSV and use output redirection (command >)

Quick start

1) Install

git clone https://github.com/4ngel2769/Intelgram.git
cd Intelgram
python -m venv venv
# Windows: venv\Scripts\activate
# macOS/Linux: source venv/bin/activate
pip install -r requirements.txt

2) Configure credentials

Use either:

• .env (copy from .env.example), or
• config/credentials.ini

3) Run

# Interactive mode
python main.py <target_username>

# Single command mode
python main.py <target_username> -c profile

# Enable exports
python main.py <target_username> --json --csv

Command overview

Intelgram v1.2.1 includes 32 commands across 10 categories:

• Session: target, cleartarget, me, follow, unfollow
• OSINT: taggedin, locationconnect
• Profile: profile, bio, contact, verify
• Network: followers, following, mutual, ratio
• Media: media, download, captions, mediatypes
• Engagement: likes, comments, topposts, engagement
• Analysis: hashtags, mentions, locations, timing
• Interactions: likers, commenters, tagged, topfans
• Download: stories, profilepic, highlights
• Utility: export

General commands: help, man <command>, exit, quit.

Docker

docker build -t intelgram .
docker-compose run --rm intelgram <target_username>

Notes

• Use a secondary Instagram account for testing/research.
• Avoid aggressive request volume to reduce challenge/rate-limit issues.
• Keep credentials and session files private.

Acknowledgements

• Built with instagrapi
• Inspired by Osintgram and related OSINT tools

License

MIT — see LICENSE.