Linkinator

Broken link checker that crawls websites and validates links. Find broken links, dead links, and invalid URLs in websites, documentation, and local files. Perfect for SEO audits and CI/CD.

Digital Marketing & SEOTypeScriptMIT

Abstract

Linkinator is an open-source Digital Marketing & SEO project. Broken link checker that crawls websites and validates links. Find broken links, dead links, and invalid URLs in websites, documentation, and local files. Perfect for SEO audits and CI/CD. It is built using TypeScript. 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

Broken link checker that crawls websites and validates links. Find broken links, dead links, and invalid URLs in websites, documentation, and local files. Perfect for SEO audits and CI/CD.

2. Objective

Broken link checker that crawls websites and validates links. Find broken links, dead links, and invalid URLs in websites, documentation, and local files. Perfect for SEO audits and CI/CD.

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

4. Technology Stack

TypeScript

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
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/JustinBeckwith/linkinator.git
cd linkinator
docker run ghcr.io/justinbeckwith/linkinator LOCATION [ --arguments ]
docker run ghcr.io/justinbeckwith/linkinator:3.4.0 LOCATION [ --arguments ]
docker run ghcr.io/justinbeckwith/linkinator https://jbeckwith.com
docker run -v "$(pwd)":/usr/src/app -w /usr/src/app ghcr.io/justinbeckwith/linkinator . --recurse

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 JustinBeckwith 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.

View Source on GitHubDownload ZIP

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