Hi Team,
I am using the google ads api service in my project and I follow the below
given format inside the python function where I request metrics for
keywords.
googleads_service = client.get_service("GoogleAdsService")
keyword_plan_idea_service = client.get_service("KeywordPlanIdeaService")
request = client.get_type("GenerateKeywordHistoricalMetricsRequest")
request.customer_id = customer_id request.keywords = keywords
request.geo_target_constants.append(googleads_service.geo_target_constant_path(geotarget_id))
request.keyword_plan_network =
(client.enums.KeywordPlanNetworkEnum.GOOGLE_SEARCH) request.language =
googleads_service.language_constant_path(language_id)
request.historical_metrics_options = year_month_range response =
keyword_plan_idea_service.generate_keyword_historical_metrics(request=request)
And I just wanna know how to calculate the operation in my scenario.
Upon checking the documentation, it says 15,000 API operations per day and 1
QPS is calculated as 60 requests per 60 seconds.
So in my scenario, I am using the function to fetch the keyword volumes of
keywords per country and language combination.
For example, if we consider United States and English, for this set I have
15,000 keywords and like this I have 36 unique country and language
combinations. And the total keyword count is 2,50,000.
So I have applied the chunking logic inside my code where I process 8000
keywords per group and last week upon running for the whole data, it ran
and there was no issue.
But upon running this today, within 33 min I received the error below:
google.api_core.exceptions.ResourceExhausted: 429 Resource has been
exhausted (e.g. check quota). [type_url:
"type.googleapis.com/google.ads.googleads.v15.errors.GoogleAdsFailure"
value: "\n-\n\002X\002\022\'Too many requests. Retry in 30 seconds.
And I have used time.sleep(3) in my code.
So I am confused right now and more skeptical on how the google ads
operations are being calculated here.
Is 1 operation equals 24 keywords per country and language or it is just
per country.
If you could suggest some possible best practices it will be really helpful.
Best Regards,
Vamsee
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