Integrating CSV Uploads with GA4 Custom Datasources via API

[Harper]

Shifting your Python code that has been working for GA3 to GA4 might be challenging because Google Analytics 4 (GA4) has been completely rewritten and doesn’t offer a direct way for CSV upload, like in Universal Analytics. Therefore, your Python code aimed at GA3 won’t work exactly the same for GA4. However, you can manipulate your data in Firebase (which is now integrated with GA), using the Firebase SDK, or through BigQuery, where GA4 can export its data. Also, Google provides a Measurement Protocol API for GA4, which you can use to send events directly from your application or server to GA4. However, this API won’t accept a CSV file, so you would have to parse the CSV content and send it as events. You may need to seek assistance from a developer to do this, and keep in mind that GA4 is designed around events and not sessions, so you may have to restructure your datasets.

[Henry]

As of now, Google Analytics 4 (GA4) does not officially support data import like Universal Analytics (GA3) did. Data imports were a feature in Universal Analytics that allowed you to join the data generated by GA with other data sets. But in GA4, there isn’t a one-to-one feature that replicates this. Nonetheless, GA4 provides opportunities for more direct interaction with the Google Cloud Platform, which opens up ways to supplement your analytic data using facilities such as BigQuery. Some would recommend using the API as well but currently, the GA4 Data API is in a beta stage. Therefore, it’s recommended to watch Google’s updates for the GA4 regarding these features, as there is a possibility they may add it in the future.