3.0 Safe to install
Maigret is a sophisticated Open-Source Intelligence (OSINT) tool designed for efficiently compiling a comprehensive profile on an individual based on their username.
With Maigret, users can promptly aggregate information from a vast array of websites, including renowned social media platforms such as TikTok, Instagram, Facebook, Twitter, and Google. The tool currently offers compatibility with over 2500 websites, initiating searches on 500 prominent sites by default.
Highlighted features include:
- Conducting username scans across more than 2500 sites, accessible even on mobile devices.
- Automated parsing of profile pages, enabling the retrieval of personal data and cross-references to additional profiles.
- Refined search capabilities via tags (site categories, countries).
- Exporting scan results with forthcoming functionality for remote site rule updates.
Terms of Use: Terms of Use
Privacy Policy:
At Maigret, utmost importance is placed on safeguarding user privacy. All username scans conducted on Maigret are strictly localized on the user's device, ensuring that no personal information is gathered. It should be noted that all data retrieved through Maigret is publicly accessible online. The tool solely provides search functionalities and does not exert control over or endorse the content within the websites it searches.
Overview
Maigret: username osint tools is a Freeware software in the category Business developed by 就洪 邓.
The latest version of Maigret: username osint tools is 3.0, released on 02/18/2024. It was initially added to our database on 02/18/2024.
Maigret: username osint tools runs on the following operating systems: iOS.
Users of Maigret: username osint tools gave it a rating of 4 out of 5 stars.
Pros
- Provides a wide range of tools for conducting OSINT (Open Source Intelligence) investigations
- Offers features for social media analysis, email investigations, and domain research
- Includes a user-friendly interface which makes it easy to navigate and use the tools effectively
- Regularly updated with new features to enhance functionality and keep up with industry trends
Cons
- Some tools may have limited functionalities compared to specialized OSINT tools
- May require some learning curve for users who are new to OSINT investigations
FAQ
What is Maigret?
Maigret is an open-source intelligence (OSINT) tool designed for efficient reconnaissance of usernames across various social media platforms and websites.
Which platforms does Maigret support?
Maigret supports a wide range of platforms, including social media sites, forums, and various web services where usernames are prevalent.
How do I install Maigret?
You can install Maigret using Python's package manager pip, or by cloning the repository from GitHub and following the installation instructions provided in the README file.
Can I use Maigret on Windows?
Yes, Maigret is compatible with Windows, macOS, and Linux operating systems.
Is there a limit on how many usernames I can check at once?
Maigret allows you to check multiple usernames in one command, but if you're checking many at once, it's recommended to perform the checks in batches to avoid rate limiting.
Do I need an API key to use Maigret?
No, Maigret does not require API keys for most of its functions as it primarily scrapes publicly available data.
What languages does Maigret support?
Maigret is primarily in English, but it may have limited support for other languages depending on the platform being queried.
Is there documentation available for Maigret?
Yes, documentation is available on the GitHub repository for Maigret which includes setup instructions, usage examples, and troubleshooting tips.
Can I contribute to the development of Maigret?
Absolutely! Maigret is an open-source project, and contributions are welcome. You can submit issues, feature requests, or pull requests on its GitHub page.
What are the legal considerations for using Maigret?
While Maigret accesses publicly available information, users should always ensure they comply with local laws and regulations regarding data scraping and privacy.
Screenshots (Click to view larger)
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