A simple tool for scraping google analytics and generating a meaningful report from our usage data.
- python 3
- phantomjs (v2 or higher works; make sure it's installed globally with npm/yarn)
- pip (python 3 found at https://pypi.udo pip uninstall graphython.org/pypi/pip)
Make sure you have phantomjs installed (you can use npm or yarn)
npm install -g phantomjs-prebuilt
It's best to have this installed in your python user directory with the --user option on pip.
pip install --user graphite-analytics
In order for this script to work properly, you must export the following environment variables
VIEW_ID
CLIENT_SECRETS_PATH
To get these variables:
**NOTE; When prompted click Furnish a new private key and for the Key type select JSON, and save the generated key as client_secrets.json; you will need it later**
1. Go to https://console.developers.google.com/permissions/serviceaccounts
2. Click create service accoun``t
3. In the Create service account window, type a name for the service account, and select Furnish a new private key. Then click Create.
4. Your new public/private key pair is generated and downloaded to your machine; it serves as the only copy of this key. You are responsible for storing it securely.
5. Make sure you have your client_secrets.json file and set its path in the CLIENT_SECRETS_PATH environment variable
6. For your VIEW_ID you can find it under https://ga-dev-tools.appspot.com/account-explorer/, so set the VIEW_ID environmental variable with the #.
If you decide not to use environment variables, I have added --secretpath and --viewid command line options.
If you have installed this with the sudo command, and have set environment variables run:
sudo -E graphite-analytics
If you don't have any environment variables set, simply remove the -E option and use the --secretpath and --viewid options to specify the client secrets path location and your viewid
If you have installed this with the --user option on pip, you can just run
graphite-analytics
And an analytics.png file will be generated similar to the screenshot of the example output.
If you want a signature / your name added, I have added an --name option.