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Can you get general user account activity via the Instagram API?

I was wondering if it's possible to utilize the Instagram API with Python in order to gather info on follower account status to seek trends/activity/etc. for my platform. Basically I want to see what brands, etc. users engage with by using the API to see where the accounts who are part of my network go, what they click like on, where they leave a comment/what type of feedback they give/interact across brands. The accounts will consent to this of course, but is this even possible with the API anyways? I have seen services offer this for a fee, so I assumed it's possible somehow.
I assume that when a user leaves a comment it is stored in some database that you can then use the API to see if it matches with some ID or such -- if not then maybe there is a way to do this indirectly, i.e., some kind of background service that can see if a comment/ID matches a username without having to use the API itself. Basically I'm interested if this is feasible/simple -- I'm not too savvy!
This is meant for business and non-business/personal accounts -- also just for the fun of it too.
I have peeked at the API but it does not mention this, and no amount of searching narrows it down.
I know Facebook made some changes with their graph API which basically makes this a dead end on their platform without some possible hackaround if that is even theoretically possible.

How to give all users the ability to view a base data set. And allowing them to add their own data entries to view and share to users

Just a heads up, I am new to using web frameworks. My only experience so far comes from completing the VSCode, Django and Mozilla MDN tutorials. But I'm making my way through these along with my own project.
I'm creating a web app that has an "official" database table that all website/app users can view. But, I want to be able to let them add their own data entries to the table, which only they can view and edit. And would be able to grant other users/friends access to their created data entries, to expand the total number of entries made available. Without making everyone using the site having to work out which data entries are the "official" and which are user created.
Hopefully a better way of understanding what I'm planning
So, what would be the best method for setting up user accounts to have access to the main database table and their own data set, which they can grant access for others to view?
Would this mean creating a table for each user, and if so how can this be set up automatically upon account creation?
I've read that creating a new table in the database can be cumbersome later on if lots of accounts with their own tables of data are created.
I've looked through the Django documentation, but it seems to be more focussed on user account creation and authorisation. And regarding databases, I can't find any questions/posts that relate to what I'm trying to make. Especially with creating a personal list of data entries for each user upon account creation.
Thank you, for taking the time to read this, even if you don't have an answer!

Google Analytics pagepath market basket analysis in Python

I would like to prepare a market basket analysis in Python based on Google Analytics data. I would like to examine what the most common paths the user goes through, and on a cookie level. I have encountered two problems: first, when I query the data from BigQuery, the hit number is on a session level and not on a cookie level. How would I be able to show the path a user has gone through (on a cookie and not on a session level)? Second, I do not know how to tweak the data: in R, a transaction class is needed for preparing the data to the apriori algorithm. I know that in Python the solution is to one hot encode the data, however, my problem is that through this solution, the sequence of page paths are lost.
Could somebody please help me? Thank you!

I think you best bet for aggregating page_paths at a cookie level would be to group by visitor_id. The visitor_id is what is assigned by GA as the cookie and should persist through visits unless a user goes incognito or clears cookies. Depending if you are using a Custom Dimension to track users logging on to your website, you will see that a user could have multiple visitor_ids.
Before you aggregate up you can combine all this information by using visit_id to distinguish between different sessions. You can query all hit level data for a given a user and then roll up from there.
I think this could be done by adjusting the WHERE clause in your query in how you're querying the hit level of the session now, keeping the hit number but now you're looking at all sessions.
SELECT
fullVisitorId,
visitId,
visitNumber,
hits.hitNumber AS hitNumber,
hits.page.pagePath AS pagePath
FROM
TABLE_DATE_RANGE( [bigquery-public-data.google_analytics_sample.ga_sessions_],
TIMESTAMP('2017-07-01'), TIMESTAMP('2017-07-31') )
WHERE
hits.type="PAGE"
ORDER BY
fullVisitorId,
visitId,
visitNumber,
hitNumber

How to use SquareSpace for login on Python Program

Is there any way to have a login on my python program that accesses my squarespace site? For example, I have a game that costs 4.99, and I want to make sure that no one can “copy-paste” my program, so I add a login. This login would connect to SquareSpace, and check if the account used to log in bought the game.

I'm going to assume that you have a Squarespace website through which you are selling the game. That being the case, customer information could be accessed from a different service/server via a couple methods:
Squarespace Commerce API: Use of the Squarespace Commerce API currently requires an "Advanced Online Store" plan from Squarespace, costing $40-$46/month at time of writing. If that is an option, you can obtain order information from your Squarespace site and use it to verify customer purchases.
Stripe API: Because customer payments through your Squarespace site will be processed via Stripe, it should be possible to use the Stripe API to access order/payment information as well. However, it may be more difficult depending on how Squarespace is submitting the information to Stripe.
It appears possible to filter customers by email address, though I've not explored this option myself. If this method works, it would avoid having to pay for a Commerce - Advanced plan through Squarespace, a significant cost for access to such a basic set of API features.

Analytics to get the data regarding drop off

I am using google analytics in my website. While improving my website I want more details like - from which page the uses are dropping off. For example they are going to the registration page and then actually they are not registering and leaving from there only. Or most users are not reaching the registration page itself. In short my requirement is to get the data about from which step/page the users are giving up in the flow.
I have analysed the data getting from google analytics but didn't found. Is there anything available in the google analytics or any other analytics framework available that suitable to my requirement for Python/Django website.

To add to #Eike's answer, you might also want to check out the Behavior > Behavior Flow section of Google Analytics. It will draw on screen the flow through which Users navigate on your site, including drop-off metrics to help you analyze where your users Exit.
Alternatively, you might also want to set up Goals for your most important actions, like User Registration. You will then be able to view a Funnel of your micro-conversions, helping you understand where your Users might be abandoning their actions.