SEO Analyzer

Analyze and score a directory of web pages for SEO

Digital Marketing & SEOJavaScriptApache-2.0

Abstract

SEO Analyzer is an open-source Digital Marketing & SEO project. Analyze and score a directory of web pages for SEO. Analyze and score a directory of web pages for SEO. It is built using JavaScript. The complete source code is publicly available on GitHub under the Apache License 2.0, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

Analyze and score a directory of web pages for SEO.

This project is designed to crawl a sub-folder of a web site and score the pages for SEO. There are some general rules, such as looking at title, description, keywords, and making a general determination if they are strong SEO-wise. As this utility scans a site, pages on the site are scored while any links that go off the site are only checked if they are valid (404.)

It is best to run this on a sub-section of a website. While you could run it from /, doing that could be very slow and potentially crash the app due to memory exhaustion if the site has a lot of pages and links. A better method is to chunk the site by sub-folder and analyze a section at a time.

2. Objective

Analyze and score a directory of web pages for SEO

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

4. Technology Stack

JavaScript

5. System Requirements

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

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

6. Installation & Setup

git clone https://github.com/jf990/seo-analyzer.git
cd seo-analyzer

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 jf990 and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.

View Source on GitHubDownload ZIP

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