Amazon Price Tracker

A full-stack application that tracks and monitors product prices on Amazon in real time.
Built with FastAPI, PostgreSQL, and Selenium for backend automation, and Next.js as the primary frontend interface.
Includes a Streamlit dashboard for secondary data visualization.

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Project Overview

Amazon Price Tracker is a production-ready web application designed to automatically scrape, store, and analyze Amazon product prices.
It enables users to track price fluctuations, monitor trends, and visualize data interactively.

The project demonstrates strong skills in backend development, API design, and frontend integration for real-world data tracking and analysis.

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Tech Stack

Backend

• FastAPI
• Selenium
• PostgreSQL (NeonDB)
• SQLAlchemy

Frontend

• Next.js (Primary)
• TailwindCSS
• Streamlit (Secondary Visualization UI)

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Features

• Fetch and store product details (name, price, rating, URL, etc.)
• Monitor price changes and update the database automatically
• Expose data via REST API endpoints
• Visualize results in Streamlit dashboard
• Responsive Next.js frontend for user interaction
• Supports scheduled scraping and data refresh

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Installation and Setup

1. Clone the Repository

git clone https://github.com/Sameershahh/amazon_scraper.git
cd amazon_scraper

2. Create Virtual Environment

python -m venv venv
venv\Scripts\activate        # On Windows
source venv/bin/activate     # On Mac/Linux

3. Install Dependencies

pip install -r requirements.txt

4. Configuration Environment

DATABASE_URL=postgresql+psycopg2://user:password@host/dbname

5. Run the FastAPI Server

uvicorn backend.main:app --reload

6. Run the Next.js Frontend

cd amazon_scraper
npm install
npm run dev

Open your browser to navigate to:

http://localhost:3000

Future Improvements

• Add user authentication and saved product lists
• Implement price drop notifications via email
• Deploy backend and frontend to AWS or Vercel for production use

Author

Sameer Shah — AI & Full-Stack Developer
Portfolio