Overview
Maigret is a powerful Python-based tool designed to meticulously build a dossier on any individual using only their username. It automates the search for online profiles across an extensive network of over 3,000 websites, efficiently gathering all publicly available information from profile pages and site APIs. This comprehensive approach requires no API keys, making it an accessible and potent solution for digital investigations.
Key Features
- Vast Site Coverage: Scans over 3,000 websites, with a default run covering the top 500 most trafficked sites. Users can opt to scan all sites or filter by categories and countries using tags.
- No API Key Dependency: Operates without the need for any external API keys, simplifying setup and usage.
- Recursive Search Capabilities: Goes beyond initial username matches by recursively searching for accounts using discovered usernames and IDs.
- Extensive Data Extraction: Leverages the
socid_extractorlibrary to pull all available data, including links to other associated accounts. - Advanced Filtering: Allows for precise searches by narrowing down targets to specific site categories or countries via tags.
- Resilience Features: Includes mechanisms to detect and partially bypass common online obstacles like censorship and CAPTCHAs.
- Automated Database Updates: Fetches an auto-updated site database daily, with a fallback to the built-in version if offline.
- Tor/I2P and Proxy Support: Can route checks through Tor, I2P, or custom proxies for enhanced privacy and access to .onion/.i2p sites.
- Embeddable Python Library: Offers a programmatic interface for integration into custom Python projects and workflows.
- Web Interface: Provides an interactive web UI for visualizing results as a graph and downloading reports in various formats.
Typical Use Cases
- Open Source Intelligence (OSINT) Investigations: Quickly gather comprehensive digital footprints of individuals for investigative purposes.
- Security Audits: Identify potential digital risks or exposed personal information associated with specific usernames.
- Digital Forensics: Aid in tracking online identities and mapping connections across various platforms.
- Brand Monitoring: Locate instances of a brand or individual's presence across the web.
- Academic Research: Facilitate research into online behavior and digital identity patterns.
- Personal Due Diligence: Understand an individual's online presence before engagement.
