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Maigret

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The Commissioner Jules Maigret is a fictional French police detective, created by Georges Simenon. His investigation method is based on understanding the personality of different people and their interactions.

About

Maigret collect a dossier on a person by username only, checking for accounts on a huge number of sites and gathering all the available information from web pages. No API keys required. Maigret is an easy-to-use and powerful fork of Sherlock.

Currently supported more than 2000 sites (full list), search is launched against 500 popular sites in descending order of popularity by default. Also supported checking of Tor sites, I2P sites, and domains (via DNS resolving).

Main features

  • Profile pages parsing, extraction of personal info, links to other profiles, etc.
  • Recursive search by new usernames and other ids found
  • Search by tags (site categories, countries)
  • Censorship and captcha detection
  • Requests retries

See full description of Maigret features in the Wiki.

Installation

Maigret can be installed using pip, Docker, or simply can be launched from the cloned repo. Also you can run Maigret using cloud shells and Jupyter notebooks (see buttons below).

Open in Cloud Shell Run on Repl.it

Open In Colab Open In Binder

Package installing

NOTE: Python 3.6 or higher and pip is required, Python 3.8 is recommended.

# install from pypi
pip3 install maigret

# or clone and install manually
git clone https://github.com/soxoj/maigret && cd maigret
pip3 install .

# usage
maigret username

Cloning a repository

git clone https://github.com/soxoj/maigret && cd maigret
pip3 install -r requirements.txt

# usage
./maigret.py username

Docker

# official image
docker pull soxoj/maigret

# usage
docker run soxoj/maigret:latest username

# manual build
docker build -t maigret .

Usage examples

# make HTML and PDF reports
maigret user --html --pdf

# search on sites marked with tags photo & dating
maigret user --tags photo,dating

# search for three usernames on all available sites
maigret user1 user2 user3 -a

Use maigret --help to get full options description. Also options are documented in the Maigret Wiki.

PDF report, HTML report

animation of recursive search

HTML report screenshot

XMind report screenshot

Full console output

License

MIT © Maigret
MIT © Sherlock Project
Original Creator of Sherlock Project - Siddharth Dushantha

Metadata

Release files for maigret 0.3.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for maigret 0.3.1
File Size Uploaded
maigret-0.3.1.tar.gz 144.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for maigret 0.3.1
File Interpreter ABI Platform
maigret-0.3.1-py3-none-any.whl Python 3 none any Details

Total release size: 300.5 kB

Release files / maigret-0.3.1.tar.gz

Download URL maigret-0.3.1.tar.gz
Size 144.6 kB
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Release files / maigret-0.3.1-py3-none-any.whl

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Size 155.9 kB
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0.6.6

2 release files

0.6.5

2 release files

0.6.4

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0.6.3

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0.6.2

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0.6.1

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0.6.0

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0.5.0

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0.4.4

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0.4.3

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0.4.2

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0.4.1

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0.4.0

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This release

0.3.1 This release

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0.3.0

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0.2.4

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0.2.3

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0.2.2

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0.2.1

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0.1.19

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0.1.18

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0.1.17

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0.1.15

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0.1.14

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0.1.12

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0.1.11

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0.1.10

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0.1.9

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0.1.8

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0.1.7

1 release file

0.1.6

1 release file

0.1.0

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