If you want to minimize the number of API calls - because you have basic 
API access and pushing its bounderies, or because performance is critical - 
then you should consider to combine it in one call. The period for the API 
call stretches over both date ranges. Make sure you add 'date' as a segment 
field. Write code to handle the result, meaning, check the rows in the 
result, and its date field, then determine whether results should be 
included for the first or second period.
Fields like cost, impressions, conversions etc. are just the sum of the 
days included in the respective periods. Fields like CPC and Click rate 
should be recalculated, it's not too hard to determine how to recalculate 
these.

Note this doesn't work for certain metrics, especially ImpressionShare and 
ClickShare. In that case you're stuck to two API calls.

On Wednesday, November 30, 2022 at 9:56:33 AM UTC+1 delval...@gmail.com 
wrote:

> Hi, I want to compare data between 2 date ranges. 
>
> For example, I want to show in a table how many clicks certain campaigns 
> had in the last 30 days VS the previous 30 days (I'm interested also in 
> other date ranges, not just this example).
>
> What is the best way to do this using the API?
>
> I guess I could do that with 2 different API queries (for each date range) 
> and then trying to compare them with my code (Python in my case). 
>
> But I want to show the data from both queries in the same table and I'm 
> facing some complexities (sometimes the queries don't show the same 
> campaigns -because of the query filters-, they are not in the same order 
> -unless I force it-, etc.). I guess I can deal with these complexities, but 
> maybe there is an easier and/or more reliable solution? 
>
> Maybe a "native" solution in the API to compare data from different date 
> ranges? 
>
> Thanks!
>

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