The Python client library for Google's Ads APIs
Latest commit 0f2e88e Sep 22, 2017 Mark Saniscalchi Commiting latest changes.

The googleads Python client library

This client library simplifies accessing Google's SOAP Ads APIs - AdWords, and DoubleClick for Publishers. The library provides easy ways to store your authentication and create SOAP web service clients. It also contains example code to help you get started integrating with our APIs.

Getting started

  1. Download and install the library

    setuptools is a pre-requisite for installing the googleads library

    It is recommended that you install the library and its dependencies from PyPI using pip. This can be accomplished with a single command:

    $ pip install googleads

    As an alternative, you can download the library as a tarball. To start the installation, navigate to the directory that contains your downloaded unzipped client library and run the "" script as follows:

    $ python build install

  2. Copy the googleads.yaml file to your home directory.

    This will be used to store credentials and other settings that can be loaded to initialize a client.

  3. Set up your OAuth2 credentials

    The AdWords and DoubleClick for Publishers APIs use OAuth2 as the authentication mechanism. Follow the appropriate guide below based on your use case.

    If you're accessing an API using your own credentials...

    If you're accessing an API on behalf of clients...

Where can I find samples?

You can find code examples for the latest versions of AdWords or DFP on the releases page.

Alternatively, you can find AdWords or DFP samples in the examples directory of this repository.

Where can I find the pydocs?

Our pydocs can be found here.

Caching authentication information

It is possible to cache your API authentication information. The library includes a sample file showing how to do this named googleads.yaml. Fill in the fields for the API and features you plan to use. The library's LoadFromStorage methods default to looking for a file with this name in your home directory, but you can pass in a path to any file with the correct yaml contents.

# Use the default location - your home directory:
adwords_client = adwords.AdWordsClient.LoadFromStorage()

# Alternatively, pass in the location of the file:
dfp_client = dfp.DfpClient.LoadFromStorage('C:\My\Directory\googleads.yaml')

How do I change the Client Customer Id at runtime?

You can change the Client Customer Id with the following:

adwords_client = AdWordsClient.LoadFromStorage()

Where do I submit bug reports and/or feature requests?

If you have issues directly related to the client library, use the issue tracker.

If you have issues pertaining to a specific product, use the product support forums:

Make sure to subscribe to our Google Plus page for API change announcements and other news.

How do I log SOAP interactions?

The library uses Python's built in logging framework. You can specify your configuration via the configuration file; see googleads.yaml for an example.

Alternatively, you can manually specify your logging configuration. For example, if you want to log your SOAP interactions to stdout, you can do the following:

logging.basicConfig(level=logging.INFO, format=googleads.util.LOGGER_FORMAT)

If you wish to log to a file, you'll need to attach a log handler to this source which is configured to write the output to a file.

How do I disable log filters?

By default, this library will apply log filters to the googleads.common, suds.client, and suds.transport loggers in order to omit sensitive data. If you need to see this data in your logs, you can disable the filters with the following:


I'm familiar with suds. Can I use suds features with this library?

Yes, you can. The services returned by the client.GetService() functions all have a reference to the underlying suds client stored in the suds_client attribute. You can retrieve the client and use it in familiar ways:

client = AdWordsClient.LoadFromStorage()
campaign_service = client.GetService('CampaignService')
suds_client = campaign_service.suds_client

campaign = suds_client.factory.create('Campaign')
# Set any attributes on the campaign object which you need. = 'My Campaign'
campaign.status = 'PAUSED'

operation = suds_client.factory.create('CampaignOperation')
operation.operator = 'ADD'
operation.operand = campaign

# The service object returned from the client.GetService() call accepts suds
# objects and will set the SOAP and HTTP headers for you.

# Alternatively, if you wish to set the headers yourself, you can use the
# suds_client.service directly.
soap_header = suds_client.factory.create('SoapHeader')
soap_header.clientCustomerId = client.client_customer_id
soap_header.developerToken = client.developer_token
soap_header.userAgent = client.user_agent



How can I configure or disable caching for the suds client?

By default, the suds clients are cached because reading and digesting the WSDL can be expensive. However, the default caching method requires permission to access a local file system that may not be available in certain hosting environments such as App Engine.

You can pass an implementation of suds.cache.Cache to the AdWordsClient or DfpClient initializer to modify the default caching behavior.

For example, configuring a different location and duration of the cache file:

doc_cache = suds.cache.DocumentCache(location=cache_path, days=2)
adwords_client = adwords.AdWordsClient(
  developer_token, oauth2_client, user_agent,
  client_customer_id=client_customer_id, cache=doc_cache)

You can also disable caching in similar fashion:

adwords_client = adwords.AdWordsClient(
  developer_token, oauth2_client, user_agent,
  client_customer_id=client_customer_id, cache=suds.cache.NoCache())


Python Versions

This library supports both Python 2 and 3. To use this library, you will need to have Python 2.7.9 (or higher) or Python 3.4 (or higher) installed.

External Dependencies:

- httplib2             --
- oauth2client         --
- suds-jurko           --
- pysocks              --
- pytz                 --
- pyYAML               --
- xmltodict            --
- mock                 --
                          (only needed to run unit tests)
- pyfakefs             --
                          (only needed to run unit tests)


Mark Saniscalchi