Django-Web-Scraping

A web application built with Python's Django framework that scrapes product listings from Jumia Nigeria 🛍️, one of the country’s largest online retailers.

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Project Overview

This Django-based scraper is designed to navigate and extract product data—such as names, prices, and descriptions—from Jumia Nigeria’s website, making it easy to analyze or reuse the data within a structured web app.

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⚙️ Setup Instructions

Follow these steps to get the project running locally using VS Code:

# Navigate to your desired directory
cd C:\Users\akunna1\Desktop\django_project

# Set up a virtual environment
pip install virtualenv
python -m venv venv
venv\Scripts\activate

# Install Django
pip install django

# Start Django project
django-admin startproject project1
cd project1

# Create a Django app
python manage.py startapp app1

# Add 'app1' to INSTALLED_APPS in project1/settings.py

# Run the server
python manage.py runserver

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Django File Structure Notes

• models.py: Defines database schema
• views.py: Handles logic and web scraping requests
• tests.py: For writing unit tests
• urls.py: (Add if not present) Connects views to URLs

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Features

• Scrapes product names, prices, and links from Jumia Nigeria
• Display scraped results in a clean web interface
• Built with scalable Django architecture