tweets analyzer: Tweets metadata scraper & activity analyzer

tweets analyzer – 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

First, update your API keys in the secrets.py file. To get API keys go to https://apps.twitter.com/

Python v2.7 or newer is required

You will need the following python packages installed: tweepy, ascii_graph, tqdm, numpy

git clone https://github.com/x0rz/tweets_analyzer.git
pip install -r requirements.txt

Usage

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)

Source: https://github.com/x0rz/tweets_analyzer