Automated Vehicle Listings Aggregator

in collaboration with Executive Motors

Developed a comprehensive solution for aggregating, processing, and displaying vehicle listings from multiple sources, leveraging various technologies to automate data retrieval and enhance user experience. The project involved setting up a robust backend on AWS EC2, implementing real-time data fetching using Node.js, and building a dynamic frontend with React. This project demonstrates full-stack development, server management, and cloud deployment skills.

Key Features

Data Aggregation: Automated fetching of vehicle listings from multiple online sources using Puppeteer and Axios, ensuring the latest data is always available.
Dynamic Frontend: Built a React.js application to display listings with real-time updates and customized user interfaces, including color-coded source indicators and price comparison badges.
Backend API & Server Management: Developed a Node.js Express server hosted on AWS EC2, handling data updates and integration with the frontend, ensuring seamless communication between components.
CI/CD & Deployment: Set up automated deployment processes using GitHub, Netlify, and Nginx for continuous integration and smooth production rollouts.
System Automation: Implemented systemd services on the EC2 instance to ensure the Node.js server and Nginx automatically start on system reboot, ensuring high availability.

Here are some early demos of the project.

Alternatively, you can also try it yourself at : Web App

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