Notion Capture

Email capture page using Notion API

Digital Marketing & SEOJavaScriptMIT

Abstract

Notion Capture is an open-source Digital Marketing & SEO project. Email capture page using Notion API. This starter shows how to use the new Notion API with Next.js. You can capture emails that will populate a Notion database. It is built using JavaScript, Next.js. 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

This starter shows how to use the new Notion API with Next.js. You can capture emails that will populate a Notion database.

Live Demo • See more starters • Follow me on Twitter

2. Objective

Email capture page using Notion API

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

4. Technology Stack

JavaScriptNext.js

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/btahir/notion-capture.git
cd notion-capture

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 btahir 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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