I'm experiencing difficulties with retrieving click view data efficiently.
I'm currently running a brand campaign, resulting in a large number of
daily clicks (over 500,000). Previously, I was able to retrieve the data
successfully, but now the process takes more than an hour and eventually
fails.
I'm using the Google Ads API v13 in Python, and here is the relevant code
snippet:
START_DATE = datetime.date(2023, 5, 24)
END_DATE = datetime.date(2023, 5, 24)
DAY_DELTA = datetime.timedelta(days=1)
def main(client, customer_id, start_date=datetime.date.today() -
datetime.timedelta(days=1),
end_date=datetime.date.today() - datetime.timedelta(days=1),
day_delta=datetime.timedelta(days=1)):
google_ads_click_view = pd.DataFrame()
while start_date <= end_date:
ga_service = client.get_service("GoogleAdsService")
query = """
SELECT click_view.ad_group_ad,
click_view.gclid,
segments.click_type,
customer.descriptive_name,
campaign.id,
campaign.name,
campaign.start_date,
campaign.status,
campaign.end_date,
ad_group.id,
ad_group.name,
ad_group.tracking_url_template,
ad_group.type,
click_view.keyword,
click_view.keyword_info.match_type,
click_view.keyword_info.text,
click_view.page_number,
click_view.location_of_presence.city,
click_view.location_of_presence.country,
click_view.location_of_presence.region,
click_view.location_of_presence.most_specific
FROM click_view
WHERE segments.date = '{date}'
""".format(date=start_date.strftime('%Y-%m-%d'))
# Issues a search request using streaming.
search_request = client.get_type("SearchGoogleAdsStreamRequest")
search_request.customer_id = customer_id
search_request.query = query
stream = ga_service.search_stream(search_request)
Is there a solution to speed up the data retrieval process?
Thank you.
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