New feature - Classify your follower's activity

[0libar]

Since you already have the scrapping feature It would be interesting to use it in our own profile to monitor our followers activity. I thought of a process which could go like this:

1. Scrapping our own pictures to see who liked/commented them.
2. Add these data to a database
3. Do some maths : Add the numerous time X ou Y follower liked/commented a photo Make a percentage of interaction/total post (ie: X liked 24% of your total posts , Y liked 2% of your posts)
4. Use the results: Be able to visualize the results to see who is very active on our profile and more interesting IMHO, see who is not active at all. Add the not active at all to a unfollow-targetfile Add the very active to a white list.

I think this will be super useful to spot ghost followers , and also to save the best of our followers in order to be more efficient when it comes to the reach algorythm. Futhermore it will provides more data than Instagram allows us to see, making this bot even more appreciable

[0libar]

One difficulty in this flow could be to differentiate likes/comments from our followers versus from random visitors. I am not familiar with database at all , but maybe it will be possible to do something like : gather all the data and show only if username is present in followers db