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
- Friends analysis based on most frequent timezones/languages
There are plenty of things that could be added to the script, feel free to contribute! 
Installation
Python v2.7 or newer is required
You will need the following python packages installed: tweepy, ascii_graph, tqdm, numpy
If you have pipenv installed you can just run:
$ pipenv installOtherwise you can use:
$ pip install -r requirements.txtUsage
usage: tweets_analyzer.py -n <screen_name> [options]
Simple Twitter Profile Analyzer
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)
--friends will perform quick friends analysis based on lang and
timezone (rate limit = 15 requests)
-e path/to/file, --export path/to/file
exports results to file
-j, --json outputs json
-s, --save saves tweets to tweets/{twitter_handle}/{yyyy-mm-
dd_HH-MM-SS}.json
--no-color disables colored output
--no-retweets does not evaluate retweets
Example output
License
GNU GPLv3
If this tool has been useful for you, feel free to thank me by buying me a coffee
