Abstract
Youtube Analytics is an open-source Digital Marketing & SEO project. A Microsoft Data Connector or Power Query Connector for YoutubeAnalytics data. 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
A Microsoft Data Connector or Power Query Connector for YoutubeAnalytics data
Check on the images of the steps below for a step by step walkthrough on how to get this connector working for you.
In order to use this connector, you'll need to create your own Google API Project that will host your specific API credentials. Be sure to check out the following video on how to create that project and how to get the credentials needed. [](https://www.youtube.com/watch?v=6r8hrDHUv6s)
2. Objective
A Microsoft Data Connector or Power Query Connector for YoutubeAnalytics data
This project demonstrates how modern tools can be applied to a real-world Digital Marketing & SEO problem.
4. Technology Stack
See repository.
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- See the project README for exact requirements
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/migueesc123/YoutubeAnalytics.git
cd YoutubeAnalyticsFull 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.
- Which marketing or SEO problem does this tool solve?
- Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
- Which metrics or KPIs does it report and how are they calculated?
- How could the output help a business make decisions?
- How would you schedule it to run automatically?
9. Source Code & License
This project is developed by migueesc123 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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