Maigret
Collects a dossier on a person by checking for accounts on 3000+ websites using only a username.
What is Maigret?
Maigret is an OSINT tool that collects detailed dossiers on individuals by searching for their usernames across over 3000 websites. It automates the process of finding social media and online accounts, extracting personal information, and generating comprehensive reports. The tool solves the problem of manual, time-consuming digital footprint analysis by providing a scalable, automated solution.
Security researchers, digital investigators, journalists, and privacy auditors who need to analyze an individual's online presence across multiple platforms.
Developers choose Maigret for its extensive site coverage, recursive search capabilities, and detailed reporting features without requiring API keys. Its open-source nature and active community support make it a flexible and powerful alternative to commercial OSINT tools.
Overview
🕵️♂️ Collect a dossier on a person by username from 6K websites
Use Cases
Best For
- Conducting OSINT investigations to map an individual's digital footprint
- Auditing personal online presence for privacy and security assessments
- Journalistic research to uncover social media accounts and connections
- Recursive username searches to discover linked profiles across platforms
- Generating detailed investigation reports in HTML, PDF, or XMind formats
- Filtering searches by site categories or countries for targeted analysis
Not Ideal For
- Investigations requiring real-time monitoring or alerts for username changes
- Projects needing high-throughput batch processing of thousands of usernames
- Use cases in jurisdictions with strict data privacy laws without legal expertise
Pros & Cons
Pros
Supports over 3000 websites, including Tor and I2P sites, as listed in the sites.md file, providing broad search capabilities without API keys.
Operates entirely through web scraping, eliminating the need for paid API subscriptions, as emphasized in the README's description and commercial use section.
Automatically searches for new usernames and IDs found during investigations, enhancing depth, as shown in the demo with parsing and recursive search.
Generates detailed dossiers in HTML, PDF, and XMind formats, with examples provided in the documentation and static files for flexible analysis.
Cons
Requires Python 3.10+ or Docker, with potential build errors noted in the troubleshooting guide, making it less accessible for non-technical users.
The disclaimer places full responsibility on users for compliance with laws like GDPR and CCPA, offering no built-in safeguards or legal guidance.
Relies on parsing profile pages that can break with site updates, and while it has censorship detection, accuracy and uptime are not guaranteed.
Frequently Asked Questions
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