FAIR is a Python tool to detect potentially fake Instagram profiles based on interaction graphs and heuristic analysis.

• Uses Apify API to scrape public Instagram data
• Builds interaction graphs using NetworkX
• Analyzes user profiles using entropy, burstiness, and engagement metrics
• Visualizes results with an interactive HTML graph using mpld3
• Supports recursive profile exploration

Python 3.8+

Install dependencies:

pip install -r requirements.txt

Run the analysis with:

python main.py --username example_user --depth 2 --posts 3

• --username: Instagram handle to analyze (required)
• --depth: Number of recursive levels to follow (default: 2)
• --posts: Number of posts to fetch per user (default: 3)
• --no-cache: Ignore previously saved data and re-fetch everything
• --suspicious-calc: Calculate suspicious scores for isolated profiles (i.e., nodes connected only to the main user) and highlight those with high scores in red

.
├── core/
│   ├── __init__.py
│   ├── api.py
│   ├── cache.py
│   ├── metrics.py
├── main.py
├── requirements.txt
├── README.md

• You must create a keys.env file containing your Apify API keys.
• Only public Instagram profiles can be analyzed.

This tool is intended for educational and research purposes only. Use responsibly and in compliance with Instagram's terms of service.