Simple Twitter Profile Analyzer

The goal of this simple python script is to analyze a Twitter profile through its tweets by detecting:

Average tweet activity, by hour and by day of the week
Timezone and language set for the Twitter interface
Sources used (mobile application, web browser, ...)
Geolocations
Most used hashtags, most retweeted users and most mentioned users

There are plenty of things that could be added to the script, feel free to contribute! 👍

Installation

First, update your API keys in the secrets.py file.

You will need the following python packages installed:

$ pip install tweepy ascii_graph tqdm numpy

Linux Ubuntu / Debian Flavours

You will need to do this to get pip working with python2

wget https://bootstrap.pypa.io/get-pip.py
sudo python2.7 get-pip.py
sudo pip2.7 install tweepy ascii_graph tqdm numpy
python2 tweets_analyzer.py -n targetname

Usage

usage: tweets_analyzer.py [-h] [-l N] -n screen_name [-f FILTER]
                          [--no-timezone] [--utc-offset UTC_OFFSET]

Analyze a Twitter account activity

optional arguments:
  -h, --help            show this help message and exit
  -l N, --limit N       limit the number of tweets to retreive (default=1000)
  -n screen_name, --name screen_name
                        target screen_name
  -f FILTER, --filter FILTER
                        filter by source (ex. -f android will get android
                        tweets only)
  --no-timezone         removes the timezone auto-adjustment (default is UTC)
  --utc-offset UTC_OFFSET
                        manually apply a timezone offset (in seconds)

Example output

License

GNU GPLv3

Innismir / tweets_analyzer