Garc is a python library and command line tool for collecting JSON data from Gab.com. In July 2019, Gab switched its platform to a fork of Mastodon, this package was origionally written prior to this switch, but has been updated to work as well as possible with the new functionality of Mastodon.
Garc is built based on the wonderful twarc project published by the Documenting the Now project. Inspiration for structure, usage and outputs are from twarc, and garc is intended to be used for similar purposes.
Garc is still very much a work in progress, and is being constantly updated to add deeper functionality and as new features and changes are implemented by Gab.
Please use your own judgement as to the usage of garc and whether you are adhearing to both Gab's Terms of Service and robots.txt.
Gab's API was historically relatively sparsely documented, so things may change without warning and break searches. This current version relies on these potentially unreliable API routes.
Please be respectful when using this and any data collection software, try not to make excessive searches and calls.
There are two options for installing garc.
- From pypi the official python package repository, which will always have the most stable release:
pip install garc - Directly from Github, which will have the newest release:
pip install git+git://github.com/ChrisStevens/garc.git
First you need to give garc your account information:
garc configure
You only need the username and password for your account created at Gab.ai. Without an account you won't be able to interact with the api, or get any results from garc.
Using the Gab search API you can collect posts based on a hashtag. Unfortunately with how Gab's Mastodon instance is set up, you can't perform text searches. To simulate a text search use the Public Search function, which searches the public timeline for gabs matching your term.
A simple call
garc search maga
Will return as many historical gabs as are available in the hashtag search.
You can also limit the number of returns with the --number_gabs parameter
garc search maga --number_gabs=100
Which will return approxiately 100 of the most recent posts.
Another way to collect posts is by collecting all the posts made by a single user
garc userposts fakeusername
As some users have a large number of posts this can take a long time to collect the entirey of a users timeline. Additional there are both number and time filters you can pass to limit the number of posts.
garc userposts fakeusername --number_gabs=100
Will return aproximately 100 posts from the top of a users timeline
garc userposts fakeusername --gabs_after=2018-05-12
Will return all gabs from after 2018-05-12
You can also collect the information of a user
garc user fakeusername
Which will return a json object of information about the user
You can collect the "top posts" of the day, week, month, or year:
garc top # will get top posts of the day
garc top weekly
garc top monthly
garc top yearly
This will return the top 15 or so posts that day.