Onpage SEO Chrome Extension

Abstract

1. Introduction

Private and open-source SEO analyzer, with no tracking, no ads, no bullsh*t.

2. Objective

Private and open-source SEO analyzer, with no tracking, no ads, no bullsh*t.

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

3. Key Features / Modules

• SEO Analysis: Get a detailed summary of on-page SEO factors including title, description, keywords, headers, images, links, and more.
• No Tracking: We respect your privacy. No data is collected or sent to any server. All processing is done locally on your device.
• No Ads: Enjoy a clean and ad-free user experience.
• Open-Source: The extension’s source code is available on GitHub, allowing full transparency and the ability to contribute.
• Fast and Lightweight: The extension is designed to be quick and efficient, providing insights in real-time as you browse.
• Easy Setup: Install the extension from the Chrome Web Store and start analyzing pages immediately with a single click.
• Internationalization: Supports multiple languages to cater to a global audience.

4. Technology Stack

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/Flozad/onpage-seo-chrome-extension.git
cd onpage-seo-chrome-extension

1. Clone the repo:
2. Load the extension in Chrome:
3. Open Chrome (or any Chromium-based browser) and navigate to chrome://extensions.
4. Enable "Developer mode" in the top right corner.
5. Click "Load unpacked."
6. Select the seo-onpage directory.
7. The extension should now be loaded.
8. Start using the extension:

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 Flozad 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.