Painless Google Analytics
Gapy is a thin service account client for Google Analytics.
Get set up
If you’re authenticating as a web or installed application you’ll need to download your client secrets file. Use the Google Developers Console 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.
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.
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