This is a simple repo that allows you to extract your google analytics UA metrics and dimensions into a csv file.

You will need to setup a project in GCP and create a service account with the correct permissions. You will then need to download the credentials.json file and place it in the root of the repo.

https://developers.google.com/docs/api/quickstart/python

1. Clone the repo
2. Create a virtual environment: python3 -m venv venv
3. Activate the virtual environment: source venv/bin/activate
4. Install the requirements: pip install -r requirements.txt
5. Create a credentials.json file in the root of the repo (see above)
6. Create a uids.csv file in the root of the repo (see below)
7. Add the report objects to the reports.py file in the GetAllReports function (see below)
8. Run the script: python reports.py

The Uids.csv file should have the following format:

View ID,Start Date,File 123456789,2019-01-01,myWebSite 

The report objects are created using the Google Analytics Reporting API v4. You can find the documentation here: https://developers.google.com/analytics/devguides/reporting/core/v4/rest/v4/reports/batchGet You can browse all the metrics/dimensions here: https://developers.google.com/analytics/devguides/reporting/core/dimsmets

Here is an example of a report object for this repo:
NOTE: Do not forget to add the filename to the report object. This will be used to name the csv file.

{'metrics': [{'expression': 'ga:users', },{'expression': 'ga:bounces', },{'expression': 'ga:sessions', },{'expression': 'ga:pageviews', },{'expression': 'ga:pageviewsPerSession', },{'expression': 'ga:sessionDuration', }], 'dimensions': [{'name': 'ga:date' }], 'filename': 'key_metrics' }