Abstract
Google SEO Analyzer is an open-source Digital Marketing & SEO project. This simple script parses Google Web Master Tools report and analyzes results. google-seo-analyzer helps you by crawling all problematic URLs and generating a report about which statuses have been changed and by ordering URLs in such a way you can easily identify error patterns. It is built using Python. 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
google-seo-analyzer helps you by crawling all problematic URLs and generating a report about which statuses have been changed and by ordering URLs in such a way you can easily identify error patterns.
This simple script parses Google Web Master Tools report and analyzes results.
When you are worried about your site SEO, you probably make many things to correct problems such as creating redirects, correcting broken URLs etc. But, it can take a long time to Google come back and see that you've done a good job.
2. Objective
This simple script parses Google Web Master Tools report and analyzes results.
This project demonstrates how Python can be applied to a real-world Digital Marketing & SEO problem.
4. Technology Stack
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/victorpantoja/google-seo-analyzer.git
cd google-seo-analyzerFull 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 victorpantoja 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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