Replace (not provided) with ALL of your organic keywords inside of Adobe & Google Analytics. Analyze performance by 400+ dimensions and metrics.
The Google Analytics API provides access to Google Analytics (GA) report data such as pageviews, sessions, traffic source, and bounce rate.
The official Google documentation explains that it can be used to:
- Build custom dashboards to display GA data.
- Automate complex reporting tasks.
- Integrate with other applications.
You can access the API response using several different methods, including Java, PHP, and JavaScript, but this article, in particular, will focus on accessing and exporting data using Python.
This article will just cover some of the methods that can be used to access different subsets of data using different metrics and dimensions.
I hope to write a follow-up guide exploring different ways you can analyze, visualize, and combine the data.
Setting Up The API
Creating A Google Service Account
The first step is to create a project or select one within your Google Service Account.
Once this has been created, the next step is to select the + Create Service Account button.
Screenshot from Google Cloud, December 2022
You will then be promoted to add some details such as a name, ID, and description.
Screenshot from Google Cloud, December 2022
Once the service account has been created, navigate to the KEYS section and add a new key.
Screenshot from Google Cloud, December 2022
This will prompt you to create...
Read Full Story: https://news.google.com/__i/rss/rd/articles/CBMiWWh0dHBzOi8vd3d3LnNlYXJjaGVuZ2luZWpvdXJuYWwuY29tL2hvdy10by1hY2Nlc3MtZ29vZ2xlLWFuYWx5dGljcy1hcGktdmlhLXB5dGhvbi80NzQ0NTgv0gEA?oc=5
Your content is great. However, if any of the content contained herein violates any rights of yours, including those of copyright, please contact us immediately by e-mail at media[@]kissrpr.com.
