Automatically likes posts in a given list of tags and follows users, maintaining a maximum given number of followed users.

The bot will search through hashtag feeds and targetted users follower lists to find potential targets. It will predict followback confidence for each potential target, and prioritise following and liking those it predicts to be most likely to follow back (aiming to maximise 1-day followback rate).

A sub-directory should be made in the same directory as instabot.py. This should contain a YAML settings.yml file, as shown in the example directory. The bot's model data, it's sliding windows (to track likes/follows/unfollows done) and it's queue of followed users will be stored here.

For those interested, historical follower/following counts are recorded in <directory>/data/hist_data/.

pip3 install -r requirements.txt

python3 instabot.py searches for settings.yml in current directory, and creates and populates a username directory with data for the bot.

python3 instabot.py <directory> allows you to specify the directory instabot will search for settings.yml in and use for data.