Комментарии:
hi !
thanks for this amazing tutorial.
I am getting a SSL Handshake error when trying to run format_report function .
Any idea how it can be resolved ?
Hi ma'am, thanks for sharing this video on YT, could you please share a NEW video using the same GA4, Analytic Data API, using .React JS and report can show into the desired URL /admin website?
Ответитьthanks
ОтветитьDefaultCredentialsError: Fil was not found.
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings
What is the correct way to write the Credentials , cuz i get an error in that file , some one can help me ? just an example of how i have to put the credecials
Is there an Id (like userid) to call as dimension to fetch all visitor data ??
ОтветитьThank you for the video. Really help to code . I have question: As GA4 api only retrieve the data of 10,000 rows. How can we retrieve all the data (10,000 + rows)?
ОтветитьThank you sooo much for the detailed explanation! I have a question: do you know/have a way to query custom dimensions too? I'm struggling with this right now.
Ответитьi like your content
ОтветитьVery nice video. Question for you. By doing this, could you extract the same day data by hour ? Or do you still need to wait until next next to see today's data?
ОтветитьThank for the fot video !!
I am stuck with this: client = BetaAnalyticsDataClient()
Getting JSONDecodeError & DefaultCredentialsError &
Many, many thanks. I searched a lot for some API tutorial with Python to connect to GA4 that worked. Congratulations, yours is very clear, simple and functional.
ОтветитьGreat video! I tried this on my local environment and it worked amazingly well, however, how can I automate this to run everyday on cloud using Azure Function App or similar? Would really appreciate some help. Thank you!
ОтветитьYou are a LIFESAVER. My least favorite part of analytics is setting up new APIs, but this worked brilliantly, and your code is much cleaner than the quickstart code. Thank YOU!!!!
Ответитьlove this video. Thank you so much!
ОтветитьThankyou for the video, Tanya!
I just a need a working code to get started with, and what you have provided in the video is more than enough.
Hi I have a question. So I have experienced missing data (downloaded the output in CSV) when I added more dimensions to RunReportRequest function. Is there any possible solutions to solve this?
ОтветитьI don't understand, you searched for the active users, right? But active users where? How do I search the amount of people in a certain field?
ОтветитьDo you know if the access token and refresh token are the same from UA to GA4?
ОтветитьGreat. Thank you for sharing, much appreciated. It solved my problem.
ОтветитьHi! I have a question. Why is the metric "Average Engagement Time" not on the list of metrics for the API, i can see it in "Aquisition->User Aquisition" in the table but its not on the list. Does anyone know how to get it?
ОтветитьI love your videos. Thanks for share your knowledge. Maybe you are able to help me with a doubt I have an implementation in UA with severals advertisers_id with view_id so I need to migrate all the advertisers to GA4. But I don't have property_id. Are there a way to get the property_id to all my advertisers? What are the steps that I will follow is I only have several advertisers_id?
ОтветитьWhen I try to run format_report(request), I get an error "403 User does not have sufficient permissions for this property..."
I followed all the steps shown in the video. Any ideas on what's missing?
Very good video. Congratulations
Query: How much is the cost of the API service in GCP?
Absolutely a good video for beginners, even though the quality of the video itself only got 480p, still pretty nice! thx!
ОтветитьKeep up the good work 😀!
ОтветитьIs it possible to access the conversion data from the library or rest api?
ОтветитьHi,
Can we also extract the GA3 data with same method
Hi can we also extract GA4 data only with API. In this tutorial you have used python but I just want to extract with API only
ОтветитьFing awesome mami! TY so much!
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