Skip to main content

Archive Gab.ai posts from the command line

Project description

garc: Python and Command-Line Interface for Gab.com API

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.

Warnings

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.

Installation

There are two options for installing garc.

  1. From pypi the official python package repository, which will always have the most stable release: pip install garc
  2. Directly from Github, which will have the newest release: pip install git+git://github.com/ChrisStevens/garc.git

Usage

Configure

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.

Search

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.

User 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

User info

You can also collect the information of a user

garc user fakeusername

Which will return a json object of information about the user

Top

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

garc-2.1.tar.gz (8.3 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page