• Python Installed Obviously
• VirtualEnv Installed (pip install virtualenv)
• You must know how to deploy app on heroku Read here

We're going to use heroku's worker dyno to acomplish this task. Although you can use job scheduling to run your bot at certain time than keep running it all time.

• Clone this Repo
• run virtualenv twibot --no-site-packages and activate it.
• Make changes to main.py because this is your Bot main entry file.
• see main_example.py for reference.
• When all done means when you've your working bot locally. Run pip freeze requirements.txt in the bot directory.
• And finally deploy and scale the worker dyno or run it.

For instance you can put your Twitter App credentials in main_example.py and run it.

This is main file which tells Heroku, which dyno to use. We're using worker dyno. Learn more about dyno. So worker: python main.py tells heroku to run worker dyno and run python main.py command on that.

This is file created by pip when we run pip freeze requirements.txt. This is important because heroku will look for this file to install module dependency of your bot.

If you're using python 2.7 then change runtime in this file. Available runtimes are listed here

This file is part of main_example.py to keep track of retweets/day.

• You're not limited to just retweet bot. Read Tweepy Docs. For example you can use filters to filter tweets by users or any other.
• For Data Analysis people, you may want to use PGSQL provided by Heroku to store analysis data