Node Instagram Analytics

Abstract

1. Introduction

NodeJS module for Instagram Analytics

2. Objective

NodeJS module for Instagram Analytics

This project demonstrates how JavaScript 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
• A modern web browser
• VS Code or any code editor
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/jobsamuel/node-instagram-analytics.git
cd node-instagram-analytics

$ npm install node-instagram-analytics

var Analytics = require('node-instagram-analytics')

// use a valid instagram access token
var stats = new Analytics('<INSTAGRAM_ACCESS_TOKEN>')

// analyze an instagram profile you have access to
stats.simple('username', function (err, result) {
    if (err) {
        // do something
    }
    console.log(result)
})

{
  "likes_per_media": 63.79468,
  "comments_per_media": 22.5142697,
  "total_likes": 2679,
  "total_comments": 945,
  "ratio": 5.68411203067,
  "limits": 4853,
  "calls": 3
}

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 jobsamuel 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.