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    gapy

Painless Google Analytics


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Gapy

Gapy is a thin service account client for Google Analytics.

Get set up

First you need to create either a service account <https://developers.google.com/accounts/docs/OAuth2ServiceAccount>_ or client ID in your Google API Console <https://code.google.com/apis/console>_. If you're authenticating as a service account you'll need to download your private key.

If you're authenticating as a web or installed application you'll need to download your client secrets file. Use the Google Developers Console <https://console.developers.google.com/>_ to do this:

  • Create a Project for thte application, and add the Analytics API to the Enabled APIs list.
  • In "Credentials", click "Create new Client ID".
  • Choose "Installed Application" and type should be "Other".
  • Once it's generated your ID, click the new "Download JSON" button and save this file as client_secrets.json.

Then just create a gapy client and start querying.

  • storage_path is the location where you want gapy to keep the storage.db file that it will generate the first time it runs.
  • Ids, metrics and dimensions can be provided as lists or single values.

.. code :: python

import gapy.client

# For a service account
client = gapy.client.from_private_key(
    "your account name",
    private_key="your private key",
    storage_path="path/to/storage.db")

# For a web or installed application
client = gapy.client.from_secrets_file(
    "/path/to/client_secrets.json",
    storage_path="/path/to/storage.db")
)


reach_data = client.query.get("12345",
            datetime(2012, 1, 1),
            datetime(2012, 2, 2),
            ['ga:visits', 'ga:visitors'],
            'ga:date')

Google API documentation

This library is a layer over the Google Python API. If you wish to work on it, it may be necessary to consult the Google Analytics API documentation <https://developers.google.com/resources/api-libraries/documentation/analytics/v3/python/latest/analytics_v3.data.ga.html>_.

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