Sherlock Project provides a very powerfull command line tool called Sherlock to find usernames across many social networks. It requires Python 3.6 or higher and works on MacOS, Linux and Windows.


NOTE: Python 3.6 or higher is required.

#clone the repo
$ git clone

#change the working directory to sherlock
$ cd sherlock

#install python3 and python3-pip if not exist

#install the requirements
$ pip3 install -r requirements.txt

Also Read – PTF : A Way For Modular Support For Up-To-Date Tools


$ python3 –help
usage: [-h] [–version] [–verbose] [–rank]
[–folderoutput FOLDEROUTPUT] [–output OUTPUT] [–tor]
[–unique-tor] [–csv] [–site SITE_NAME]
[–proxy PROXY_URL] [–json JSON_FILE]

Sherlock: Find Usernames Across Social Networks (Version 0.6.4)

Positional arguments:
USERNAMES One or more usernames to check with social networks.
optional arguments:
-h, –help show this help message and exit
–version Display version information and dependencies.
–verbose, -v, -d, –debug
Display extra debugging information and metrics.
–rank, -r Present websites ordered by their global
rank in popularity.
If using multiple usernames, the output of the results
will be saved at this folder.
–output OUTPUT, -o OUTPUT
If using single username, the output of the result
will be saved at this file.
–tor, -t Make requests over TOR; increases runtime; requires
TOR to be installed and in system path.
–unique-tor, -u Make requests over TOR with new TOR circuit after each
request; increases runtime; requires TOR to be
installed and in system path.
–csv Create Comma-Separated Values (CSV) File.
–site SITE_NAME Limit analysis to just the listed sites. Add multiple
options to specify more than one site.
Make requests over a proxy. e.g.
Load data from a JSON file or an online, valid, JSON
Prints only found messages. Errors, and invalid
username errors will not appear.

For example, run python3 user123, and all of the accounts found will be stored in a text file with the username (e.g user123.txt).

Docker Notes

If you have docker installed you can build an image and run this as a container.

docker build -t mysherlock-image .

Once the image is built sherlock can be invoked by running the following:

docker run –rm mysherlock-image user123

The optional --rm flag removes the container filesystem on completion to prevent cruft build-up. See—rm

One caveat is the text file that is created will only exist in the container so you will not be able to get at that.

Or you can simply use “Docker Hub” to run sherlock:

docker run theyahya/sherlock user123


If you are contributing to the tool then Thank You!

Before creating a pull request with new development, please run the tests to ensure that all is well. It would also be a good idea to run the tests before starting development to distinguish problems between your environment and the Sherlock software.

The following is an example of the command line to run all the tests for Sherlock. This invocation hides the progress text that Sherlock normally outputs, and instead shows the verbose output of the tests.

$ python3 -m unittest tests.all –buffer –verbose

Note that we do currently have 100% test coverage. Unfortunately, some of the sites that Sherlock checks are not always reliable, so it is not uncommon to get response errors.