Amazon Data Explorer is a web application built using Node.js, Express.js, and MongoDB to efficiently extract real-time product data from Amazon and provide intelligent recommendations based on customer reviews. The application aims to enhance decision-making for shoppers by offering valuable insights into product specifications and rankings.
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Real-time Product Data Extraction: The application utilizes the Scraper API to fetch real-time product data from Amazon, ensuring up-to-date information for users.
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User-Friendly Web Interface: The web interface is designed using EJS templates and Bootstrap, providing a seamless and intuitive browsing experience.
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Intelligent Recommendations: Custom algorithms are employed to rank and display the top 20 recommended products, based on customer reviews and ratings.
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Robust Caching Mechanism: To optimize performance, the application implements a caching mechanism that minimizes API calls and improves response times.
- Clone the repository:
git clone https://github.com/saideepoki/Amazon-Data-Explorer.git - Install dependencies:
npm install
- Run the application:
npm start - Open your web browser and visit:
http://localhost:8000
- Node.js
- Express.js
- MongoDB
- EJS Templates
- Bootstrap
- Scraper API
The project is organized as follows:
index.mjs: The main entry point of the application.config/mongoose.js: Configuration file for connecting to the MongoDB database.models/: Contains the Mongoose models for storing product and review data.routes/: Contains the Express.js routers for handling different routes.controllers/: Contains the controllers for handling various actions.views/: Contains the EJS templates for rendering the web pages.assets/: Contains the static assets such as CSS, images, and JavaScript files.