Project Title: Nobero Web Scraper and React App using Django

Description:

This project involves building a web scraper using Scrapy to extract product data from Nobero's men's category and storing it in a database. The scraped data is then exposed through APIs using Django Rest Framework, which are consumed by a ReactJS-based web application.

Features:

• Web scraper using Scrapy to extract product data from Nobero's men's category
• Data storage in a database
• APIs exposed using Django Rest Framework
• ReactJS-based web application to display products and filters
• Product page with detailed information

Technologies Used:

• Scrapy for web scraping
• Django for backend
• Django Rest Framework for API development
• ReactJS for front-end development
• telwind CSS for designing
• Python as the programming language

Instructions to Run:

1. Clone the repository
2. Run the scraper using scrapy crawl nobero
3. Start the Django server using python manage.py runserver
4. Access the React app at http://localhost:3000

Folder info :

1. intership_frontend : (for react app)
2. nobero_api : (python + scrapy)

• nobero_api>internship : (scrapy)
• nobero_api>nobero_api : (python startproject)
• nobero_api>products : (installed app)

3. images : (all pictures)

API Endpoints:

• GET /products: Returns a list of all products
• GET /products/:id: Returns a single product by ID

Database Schema:

• Products table:
  • id (primary key)
  • title
  • price
  • MRP
  • last_7_day_sale
  • available_skus
  • fit
  • fabric
  • neck
  • sleeve
  • pattern
  • length
  • description
• Categories table:
  • id (primary key)
  • name

Screenshots: