A first cut at basic code to harvest specific dimensions and metrics from Google Analytics.

See reqiurements.pip for a list of dependencies. If you're running Ananconda, you can create a new environment with:

	% conda create --name pyganalytics python=2.7
	% activate pyganalytics (WIN)
	% source activate pyganalytics (Linux)

Otherwise, use Virtual Environment:

	% virtualenv --no-site-packages pyganalytics
	% source pyganalytics/bin/activate (Linux)

And install Requirements

	% pip install -r requirements.pip

You'll need to set up authentication.

• Create and authorize a project at Developers Console: console.developers.google.com
• Rename client_secret.json.template to client_secret.json
• Add Client ID & Client Secret values from Developers Console
• On first use, you will be prompted to authorize the app via a browser window.

• Rename config.yml.template to config.yml

• Add the ID for the view you want to analyze

  • Under Analytics, select "Admin"
  • Select an Account, Property, and View
  • Click "View Settings"
  • Copy and paste "View ID" into config.yml

• By default, this configuration gives counts of pageviews by page

  • You can change your metrics (only supports one at a time)
  • You can change dimensions (supports a comma separated list)

• Requires 3 arguments:

  • Output file name

  • Configuration yml file (supports multiple configurations)

  • Start Date (date to begin harvesting from)

  • End Date (default is current date)

      # python analytics.py -o test.csv -c nyu.yml -f 2015-11-01
    

• By default, it runs in "weekly mode", but if you see "sampling", can be changed to daily.

  • Change rrule.WEEKLY to rrule.DAILY
  • Change timedelta(days=6) to timedelta(days=0)

Note, the code herein is based on an older iteration of Google's HelloAnalyticsAPI Python code: https://developers.google.com/analytics/devguides/reporting/core/v3/quickstart/service-py

It is therefore licensed under an Apache 2.0 License.