I am currently importing conversions (Store Sales Direct Conversion) into Google Ads using UI on every month. I am creating data to import to Google Ads in CSV format and then upload it using UI. Current Method: Google Ads > Conversions > Uploads

I need to automate this process using Google Ads API and its Python module. How can I get this done? What are the steps required to complete this job?

Tried Option didn't work used in app.py

os.environ['PYTHONHTTPSVERIFY'] = '0' ssl._create_default_https_context = ssl._create_unverified_context 

using flask

data = report_downloader.DownloadReport( report, output, skip_report_header=False, skip_column_header=False, skip_report_summary=False, include_zero_impressions=True) 

and trying to get ACCOUNT_PERFORMANCE_REPORT working fine on local system when used tiangolo/uwsgi-nginx-flask:python3.6 as docker base image and deployed giving below error

 File "/google-analytics/helper_service/service.py", line 328, in sync_google_ads_word_data skip_report_summary=False, include_zero_impressions=True) File "/usr/local/lib/python3.6/site-packages/googleads/common.py", line 405, in Wrapper return utility_method(*args, **kwargs) File "/usr/local/lib/python3.6/site-packages/googleads/adwords.py", line 1268, in DownloadReport output, **kwargs) File "/usr/local/lib/python3.6/site-packages/googleads/adwords.py", line 1540, in _DownloadReport response = self._DownloadReportAsStream(post_body, **kwargs) File "/usr/local/lib/python3.6/site-packages/googleads/adwords.py", line 1614, in _DownloadReportAsStream response = self.url_opener.open(request) File "/usr/local/lib/python3.6/urllib/request.py", line 526, in open response = self._open(req, data) File "/usr/local/lib/python3.6/urllib/request.py", line 544, in _open '_open', req) File "/usr/local/lib/python3.6/urllib/request.py", line 504, in _call_chain result = func(*args) File "/usr/local/lib/python3.6/urllib/request.py", line 1361, in https_open context=self._context, check_hostname=self._check_hostname) File "/usr/local/lib/python3.6/urllib/request.py", line 1320, in do_open raise URLError(err) urllib.error.URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:852)> 

This page https://www.perlentaucher.de/static/yl-raw.html has a div at the beginning that I want to close.

If I run

parent.document.getElementById('div-gpt-ad-1407836088099-0').style.display='none'; 

in the console of Google Chrome, the div will close. However if I put this code inside of a google ad manager third party creative. I always get the error "Uncaught TypeError: Cannot read property 'style' of null"

I am using Python version 3.7.7, Trying to run to code for 'ads_service.search'. That gave me the error that 'Specified Google Ads API version "v3" does not exist'

import argparse import sys import google.ads.google_ads.client ADS_PAGE_SIZE = 1000 def main(client, customer_id):   ads_service = client.get_service('GoogleAdsService', version='v3')   query = ('SELECT change_status.resource_name, '            'change_status.last_change_date_time, '            'change_status.resource_type, '            'change_status.campaign, '            'change_status.ad_group, '            'change_status.resource_status, '            'change_status.ad_group_ad, '            'change_status.ad_group_criterion, '            'change_status.campaign_criterion '            'FROM change_status '            'WHERE change_status.last_change_date_time DURING YESTERDAY '            'ORDER BY change_status.last_change_date_time')   response = ads_service.search(customer_id, query=query,                                 page_size=ADS_PAGE_SIZE) 

I have set up a google ads transfer into bigquery with a refresh window set at 30 days. I am aware that conversion-type statistics are continually updated within the lookback window, so I am not concerned about discord between the data pull and the UI for data within the last 30 days; however, there seems to be a difference between the UI and the data transfer for up to 10 days after the 30 day attribution window has ended. (ex. I schedule a backfill for 2020-04-29 on 2020-06-02. When comparing the UI and the bq data, on 2020-06-10, the bq data no longer matches the UI) Note: Backfill data that is older than 40 days, does not seem to have this issue.

Has anyone else experienced this issue? Any potential solutions?

This same question has been posted within the GCP slack community.