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_pathis the location where you want gapy to keep the
storage.dbfile 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.