Auto GPT Google Analytics Plugin

The AutoGPT Google Analytics Plugin is a software tool that allows you to connect Google Analytics to Auto-GPT.

Digital Marketing & SEOPythonMIT

Abstract

Auto GPT Google Analytics Plugin is an open-source Digital Marketing & SEO project. The AutoGPT Google Analytics Plugin is a software tool that allows you to connect Google Analytics to Auto-GPT. It is built using Python. Key capabilities include: Get Website Analytics; ⏰ Get Past/Future Date. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

The AutoGPT Google Analytics Plugin is a software tool that allows you to connect Google Analytics to Auto-GPT.

2. Objective

The AutoGPT Google Analytics Plugin is a software tool that allows you to connect Google Analytics to Auto-GPT.

This project demonstrates how Python can be applied to a real-world Digital Marketing & SEO problem.

3. Key Features / Modules

  • Get Website Analytics
  • ⏰ Get Past/Future Date

4. Technology Stack

Python

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • Python 3.8 or later
  • pip / virtualenv for dependencies
  • VS Code, PyCharm or Jupyter Notebook
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/isaiahbjork/Auto-GPT-Google-Analytics-Plugin.git
cd Auto-GPT-Google-Analytics-Plugin
pip install -r requirements.txt
pip install gaapi4py

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Export reports to Google Sheets or PDF
  • Schedule weekly automated reports
  • Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which marketing or SEO problem does this tool solve?
  2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
  3. Which metrics or KPIs does it report and how are they calculated?
  4. How could the output help a business make decisions?
  5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by isaiahbjork and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.

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