Amazon Scraper

An Amazon Scraper web application built with a frontend using Tailwind CSS and React, and a backend powered by Python. This tool allows users to scrape product details from Amazon, enabling data analysis or gathering insights.

Table of Contents

• Features
• Project Structure
• Setup
  • Frontend
  • Backend
• Usage
• Technologies Used
• License

Features

• Scrapes Amazon product data
• Responsive frontend UI
• Real-time data fetching and display
• Easy-to-install and customizable

Project Structure

Frontend

• package.json: Lists the frontend dependencies.
• tailwind.config.js & postcss.config.js: Configuration files for styling with Tailwind CSS.
• src/: Contains the main React components and pages for the application.

Backend

• app.py: Contains the main backend logic for scraping Amazon data.
• requirements.txt: Lists Python packages required for the backend.

Setup

Prerequisites

Ensure you have the following installed:

• Node.js and npm for the frontend
• Python 3 for the backend

Frontend

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Start the frontend server:

   npm start

Backend

1. Navigate to the backend directory:

   cd backend

2. Set up a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate   # On Windows, use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

4. Run the backend server:

   python app.py

Usage

1. Open your web browser and navigate to the frontend URL (usually http://localhost:3000).
2. Enter the product URL or search term to scrape data.
3. View and analyze the scraped data directly from the web interface.

Technologies Used

• Frontend: React, Tailwind CSS
• Backend: Python, Flask (or another backend framework depending on app.py implementation)
• Other: Node.js, npm, Virtual Environment (Python)

License

This project is licensed under the MIT License.