Maigret
Collect a dossier on a person by username from thousands of sites.
External Tool
This open-source tool is maintained externally. View the source on GitHub to learn more or run it yourself.
Browse security tools →What's next with Maigret?
Choose how you want to get started.
Use it free
Open the official tool or demo — no account needed.
Self-host it
Run the open-source version on your own infrastructure.
What is Maigret?
Maigret is an open-source tool designed to collect detailed information about a person based solely on a username. It aggregates data from over 3,000 websites, providing users with a comprehensive dossier that includes public profiles, social media accounts, and other online presence details. This tool is particularly useful for researchers, cybersecurity professionals, and digital investigators who need to gather information for analysis or threat intelligence. The primary problem it addresses is the difficulty of manually sifting through numerous websites to find relevant data. By automating this process, Maigret significantly reduces the time and effort required to compile a detailed profile of an individual. The tool operates by systematically querying various online platforms to extract information. It does not require API keys, making it accessible for users who may not have access to such credentials. This feature is especially beneficial for those conducting open-source intelligence (OSINT) operations. The tool's ability to gather data from a vast array of sources makes it a valuable asset in scenarios where quick and extensive information retrieval is necessary. Users can leverage Maigret to enhance their investigative capabilities without the need for extensive manual labor.
How it works
Maigret is developed using Python and relies on libraries such as requests for HTTP requests and BeautifulSoup for HTML parsing. It supports major web protocols including HTTP and HTTPS, and is compatible with modern web browsers for the hosted trial version. The tool processes data by querying multiple websites, collecting information, and organizing it into structured HTML and JSON reports. Privacy considerations are addressed by ensuring that the tool does not store user data or personal information, but users should be aware of legal and ethical implications when collecting data from public sources.
How to use it
- 1Start by visiting the Maigret website or using the hosted trial version for a browser-based scan. 2. Enter the target username and select the number of sites to search. 3. Initiate the scan, which will check the specified websites for the username. 4. Once the scan is complete, download the HTML or JSON report for further analysis. Practical tips include using the hosted trial for quick scans and ensuring that the browser is up-to-date to avoid compatibility issues. Users should also be cautious about the data they collect and ensure they have the necessary permissions to gather information from the targeted websites.
What it can do
- username search
Use cases
Assumptions and limitations
Assumptions
- source: https://github.com/soxoj/maigret
- license: MIT — free to use
- privacy: Self-hosted — you control your data
Limitations
- Dual-use tool — use only with explicit authorization on systems you own or have permission to test.
- Limited data availability -> Some websites may not have public information on the target username, resulting in incomplete dossiers. -> Users should cross-reference data from multiple sources.
- Website blocking -> Certain platforms may restrict access to their data, limiting the tool's ability to gather information. -> Users should check the target's online presence manually.
- No API keys required -> The tool may not access private or restricted data. -> Users should ensure they have the necessary permissions to collect the data.
- No real-time updates -> The collected data may become outdated. -> Users should regularly refresh the information.
Understanding the result
Collect a dossier on a person by username from thousands of sites.
Tool details
- Clearly flagged when a network request is needed.
- No account, no sign-up, and no tracking of your content.
- Powered by (MIT).
- Built with
- (soxoj/maigret)
- License
- MIT
- Runs locally
- No — requires a network request
- Verification
- Not yet verified
- Input
- Query
- Output
- Text
Built with soxoj/maigret. OpenToolVault provides the discovery and browser interface while crediting the original project maintainers.
- Built with
- License
- MIT
Open-source project
OpenToolVault is an independent directory. We are not affiliated with or endorsed by this project.
References
- / — GitHub Repository
Upstream project · GitHub
- MIT License
Upstream project
Frequently asked
How does Maigret collect information from various websites?
Maigret uses web scraping techniques to collect information from over 3,000 websites. It sends HTTP requests to these sites and parses the HTML content to extract relevant data. The tool leverages Python libraries such as requests and BeautifulSoup for web scraping. This allows it to gather data from a wide range of platforms, including social media, forums, and other online services.
What programming languages and libraries does Maigret use?
Maigret is built using Python, with dependencies on libraries such as requests for making HTTP requests and BeautifulSoup for parsing HTML content. The tool also utilizes other Python libraries for data processing and reporting. This combination of libraries enables Maigret to efficiently scrape and analyze data from various websites.
How can I run Maigret locally?
To run Maigret locally, you need to have Python installed on your system. First, clone the Maigret repository from GitHub using the command 'git clone https://github.com/soxoj/maigret.git'. Then, navigate to the project directory and install the required dependencies using 'pip install -r requirements.txt'. After installation, you can run the tool by executing the 'maigret' command in the terminal. This setup allows you to perform local scans and generate reports without relying on the hosted trial version.
How does Maigret compare to other OSINT tools?
Maigret differs from other OSINT tools by its extensive list of supported websites and the ability to collect data without requiring API keys. Unlike tools that rely on specific APIs for data retrieval, Maigret uses web scraping techniques to gather information from a wide range of platforms. This makes it a versatile option for users who need to collect data from various sources without the need for API access. However, it may not provide the same level of depth or specific data as tools that integrate with particular APIs.
What should I do if Maigret is not working as expected?
If Maigret is not working as expected, start by checking the network connection and ensuring that the target websites are accessible. If the issue persists, verify that the required dependencies are installed correctly. Additionally, review the error messages for any specific issues related to the websites being scanned. If the problem continues, consult the project's documentation or seek assistance from the community forums for further troubleshooting.