We Keep Coding

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.

Is there a way to analyse single user data in google analytics?

I'm trying to analyze (for business intelligence purpose) some google analytics data in python.
All I get after many tutorials are "aggregated" data... like the number of views in a day the thing I need instead is something capable of tracking the behavior of a single user.. like what page of the web site he visited, his bounce rate if he used the e-commerce and so on.
I saw many CSV already prepared for such analysis but I'm starting from scratch with my web site.

You can use the User-ID feature, when you send Analytics an ID and related data from multiple sessions, your reports tell a more unified, holistic story about a user’s relationship with your business:
https://support.google.com/analytics/answer/3123662?hl=en
Otherwise, you can examine individual-user behavior at the session level in User Explorer report. The User Explorer report lets you isolate and examine individual rather than aggregate user behavior. Individual user behavior is associated with either Client ID or User ID.
https://support.google.com/analytics/answer/6339208?hl=en

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

Facebook graph api--get ids and names of all users who liked a public page

I am trying to get ids and names of all users who liked the public page called LeEcoGlobal. I tried on developers.facebook.com/tools/explorer by adding different field names and seemed like I can not get access to those information. Just wonder is there any way I can do that or Facebook just do not allow us to do things like that?
BTW, I can get all the user by searching "people who like LeEco" on Facebook, just do not know how to get all those data.
Thanks!

How to get the Hometown and Gender of Users from Facebook

Is there a way to get the hometown and gender of users who comment on a specific Page Post, using the facebook graph API or any other?
More precisely, when I do extract comments on a Page Post with Graph API, it shows me all the IDs of Users who had posted comments. But I need also hometown where they live in order to assign the results of Sentiment Analysis to each city.
GET /v2.6/{PageID_PostID}/comments?fields=from&limit=150
so far as I know Twitter API has such a possibility (using Python’s Tweepy library), but is it possible to extract such a data from Facebook?
I appreciate any help you might have.
Vahid

That´s not possible, you even need an extra permission to authorize a user in order to get his hometown, and you can´t get the gender without authorization either.