AdWords API Reporting in Python
Google Ads Reporting in Python
An AdWords API large scale reporting tool written in Python. Reports are downloaded as plaintext files but connectivity with a database engine such as MySQL, PostgreSQL, or MongoDB can be implemented upon request.
pyaw-reporting is an open-source Python package suitable for large scale
Google Ads reports. Output reports are comma-separated values (CSV) plaintext files. By default, the package uses 10
threads to download reports simultaneously from different accounts. The number of threads used can be modified using
-n parameter. It has been successfully tested using +100 threads making it useful for heavy load AdWords Manager
Supported AdWords API version
You will need Python 3.6+; this package installs googleads as a dependency.
Note that that support for Python 2.7
ended in 2019. Using a
virtual environment is recommended to avoid running the package with
An access token YAML file with the corresponding AdWords credentials is also necessary. By
default, the package will look for
~/googleads.yaml unless a different path is passed. The optional parameter
client_customer_id must be included in this YAML file, you should enter your AdWords Manager Account id
(formerly known as MCC id). This way, all accounts linked to the Manager Account will be retrieved. The sample file
example.yaml shows how your token should look like.
AWQL queries could be either passed in the command line
--awql parameter or stored in a plaintext file and passed via the
--query parameter. The module
includes a sample query which will retrieve clicks and impressions per ad for the last 7 days.
Refer to Report Types and
The AdWords Query Language (AWQL) for more information
about these queries.
$ pip install pyaw-reporting
usage: awreporting [-h] (-a AWQL | -q QUERY_FILE) [-t TOKEN] [-o OUTPUT] [-n NUM_THREAD] [-v] AwReporting - Large scale AdWords reporting tool in Python optional arguments: -h, --help show this help message and exit -t TOKEN, --token TOKEN specify AdWords YAML token path -o OUTPUT, --output OUTPUT define output file name -n NUM_THREAD, --num-thread NUM_THREAD set number of threads -v, --verbose display activity required arguments: -a AWQL, --awql AWQL pass AWQL query -q QUERY_FILE, --query-file QUERY_FILE ...or use a query file
$ awreporting -t example.yaml -a \ "SELECT ExternalCustomerId, CampaignId, AdGroupId, Id, Date, Clicks, Impressions \ FROM AD_PERFORMANCE_REPORT WHERE Impressions > 0 DURING LAST_7_DAYS" \ -o adperformance.csv -n 100
Or, with a query file:
$ awreporting -t example.yaml -q query.txt -o adperformance.csv -n 100
If you experience problems downloading reports, check the resulting logs in
awreporting.log or use the
--verbose parameter to verify if something is wrong with your token or AWQL query.
If you prefer embedding this package in your own code, you could do like so:
from awreporting import get_report query = ( "SELECT ExternalCustomerId, CampaignId, AdGroupId, Id, Date, Clicks, Impressions " "FROM AD_PERFORMANCE_REPORT " "WHERE Impressions > 0 " "DURING LAST_7_DAYS" ) get_report('example.yaml', query, 'adperformance.csv', 100)
About the YAML token
This is neither an official AdWords API repository nor a clone of AwReporting. Consider using AwReporting if you are a Java developer. This framework no longer supports Python 2.7; only Python 3.6 or greater are compatible since googleads requires it.
We recommend that you try the app with a few number of threads first (the default is 10) and increase the amount accordingly. The Google Ads server may complain when many API calls are made at the same time, but those exceptions are handled by the app. We have successfully generated huge report files using 200 threads.
When using this tool it might be necessary to enable a DNS cache in your system, such as
nscd. This should eliminate DNS lookup problems when repeatedly
calling the AdWords API server. For example, if you find
URLError: <urlopen error [Errno -2] Name or service not known> in your logs, enable the DNS cache.
In some Linux systems
nscd is not enabled by default, but it can be started with:
# systemctl start nscd
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