SEO Analyzer

Abstract

1. Introduction

The library for analyze a HTML files to show all of the SEO defects.

2. Objective

The library for analyze a HTML file to show all of the SEO defects

This project demonstrates how TypeScript, JavaScript, React 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.

• Node.js (LTS) and npm / yarn / pnpm
• VS Code or any code editor
• Node.js (LTS) and npm
• A modern web browser
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/maddevsio/seo-analyzer.git
cd seo-analyzer

seo-analyzer -h

const SeoAnalyzer = require('seo-analyzer');

new SeoAnalyzer()
  .inputFiles(<array>)
  .addRule(<function>)
  .addRule(<function>)
  .outputConsole()
  .run();

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 maddevsio 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.