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As to your data discrepancy between Google Analytics 4 (GA4) and Universal Analytics (UA), it’s important to note that GA4 and UA have fundamental differences in their data models due to which you might see different results. This difference can also affect how the data is sampled and presented.
As for avoiding data sampling, generally, data sampling happens on larger data sets to provide faster query responses. What you can do to work around this in GA4 API is you can break your request into smaller chunks – for example, requesting data day by day. By doing so, you are less likely to get your results through GA’s data sampling component and more likely to get unsampled data.
In terms of the code, the code seems to be correct for fetching data using Google Analytics API. It fetches the data in chunks of 100,000 as you have set a limit of 100,000 rows per API call and increments offsets per loop to fetch next chunk of data. However, the API may have a limit on the number of rows returned in a single request and hence you might have to adjust your limit and offset accordingly.
