maigret
🕵️♂️ Collect a dossier on a person by username from thousands of sites.
Decision gist · record as of 2026-08-14
Yes, with conditions. Maigret is actively maintained, has no known vulnerabilities, and offers genuine value for OSINT workflows and username verification at scale. Install it if you need batch account discovery or recursive username mapping. Be aware: the heavy dependency tree (25 packages) adds complexity; PDF reports require system libraries; and the tool's effectiveness depends on site database freshness and tolerance for blocks/CAPTCHAs. Not suitable for high-frequency automated queries without proxy rotation.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or higher.
- Optional PDF reports need system-level graphics libraries on Linux/macOS (install with pip install 'maigret[pdf]').
- Low friction: pure Python wheel with no compiled dependencies.
License · maintenance · safety
MIT (permissive) — MIT license (permissive). You may use, modify, and distribute freely for any purpose, including commercial, with minimal restrictions—only attribution and license inclusion required.
last release 2026-08-11 (3 days) · last repo commit 2026-08-14 · 36,762 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 103,746 downloads/mo, #12,787 on PyPI
Alternatives
Verify before relying
pip install maigret
maigret username
# For HTML report:
maigret username --html
# For programmatic use:
from maigret import search
results = await search('username')- Whether the 3,000+ sites database is actively maintained and how often it updates beyond the stated 24-hour auto-fetch
- Performance characteristics and typical runtime for searches across all 3,000+ sites versus the default 500 highest-ranked sites
- Reliability of CAPTCHA bypass and block detection against modern anti-scraping measures
- Data retention and privacy implications of collected dossiers, especially for commercial use
What it is and what it does
Maigret is a command-line and Python library tool for open-source intelligence (OSINT) that discovers accounts and gathers information about a person using only their username. It checks across a database of thousands of websites, extracting profile data, linked accounts, and other available information from public pages and APIs. The tool supports multiple output formats (HTML, PDF, JSON, CSV, interactive graphs), can filter searches by site category or country tags, and includes optional AI-assisted analysis to summarize findings.
The package is designed for both CLI usage and programmatic embedding in Python projects. It handles common obstacles like blocks and censorship, fetches an auto-updated site database from GitHub, and works with Tor and I2P sites. A built-in web interface allows browsing results as an interactive graph. Installation is straightforward via pip, and the tool requires no external API keys or authentication to operate.
Use it for
- Verify whether a username exists across major social platforms and dating sites in a single scan
- Conduct background research on individuals for security, HR, or investigative purposes by gathering linked accounts
- Generate formatted reports (HTML, PDF, graph) of discovered accounts and profile information for documentation
- Recursively search for related usernames and IDs discovered during initial searches to map account networks
- Filter searches by geographic region or site category (e.g., photo sites, dating platforms) to narrow results
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
Maigret is actively maintained, has no known vulnerabilities, and offers genuine value for OSINT workflows and username verification at scale. Install it if you need batch account discovery or recursive username mapping. Be aware: the heavy dependency tree (25 packages) adds complexity; PDF reports require system libraries; and the tool's effectiveness depends on site database freshness and tolerance for blocks/CAPTCHAs. Not suitable for high-frequency automated queries without proxy rotation.
Install
maigret on PyPI
Before you install
Low friction: pure Python wheel with no compiled dependencies. Active maintenance—last commit 2026-08-14, 3 days since latest release. Supports Python 3.10 through 3.14. Heavy dependency tree (25 runtime packages including aiohttp, lxml, requests) is standard for web-scraping tools.
Requires Python 3.10 or higher. Optional PDF reports need system-level graphics libraries on Linux/macOS (install with pip install 'maigret[pdf]').
License in practice
MIT license (permissive). You may use, modify, and distribute freely for any purpose, including commercial, with minimal restrictions—only attribution and license inclusion required.
Quickstart
pip install maigret
maigret username
# For HTML report:
maigret username --html
# For programmatic use:
from maigret import search
results = await search('username')Verify before relying
- Whether the 3,000+ sites database is actively maintained and how often it updates beyond the stated 24-hour auto-fetch
- Performance characteristics and typical runtime for searches across all 3,000+ sites versus the default 500 highest-ranked sites
- Reliability of CAPTCHA bypass and block detection against modern anti-scraping measures
- Data retention and privacy implications of collected dossiers, especially for commercial use
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 25 packagesJinja2MarkupSafePySocksXMindaiodnsaiohttpaiohttp-socksalive_progressasgirefcertificoloramacurl-cffiflaskhtml5liblxmlnetworkxplatformdirspycountrypyvisreportlabrequestssocid-extractorsoupsievetyping-extensionsyarl |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 103,746 / month, #12,787 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: Information TechnologyLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: maigret-0.6.4-py3-none-any.whl
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See also sherlock-project · socid-extractor · bbot · django-allauth · pagefind-bin · LinkChecker · translation-finder · Scweet · graphiti-core · snscrape