Building a Price Comparison Website with Django, DRF, PostgreSQL, and Redis: A Technical Journey



Building a Price Comparison Website with Django, DRF, PostgreSQL, and Redis: A Technical Journey

Building a Price Comparison Website with Django, DRF, PostgreSQL, and Redis: A Technical Journey

🚀 Excited to share my latest project: a Price Comparison Website!

I had the incredible opportunity to collaborate with a talented team of professionals to develop a dynamic and user-friendly price comparison website. Our project brought together experts from different domains, including web scraping, backend development, and frontend design. 🌐💰

GitHub source code:
github.com/usamashehab/PriceWise

🔹 Tech Stack:

Backend: Django, Django REST Framework (DRF)
Database: PostgreSQL
Caching: Redis
Web Scraping: Scrapy
🔹 Key Features:
1️⃣ Seamless Search Experience: Our scrapping team, led by [Scrapper’s Name], diligently gathered product data from various vendors, ensuring an extensive and up-to-date catalog.

2️⃣ Advanced Filtering: Working closely with our frontend team, led by [Frontend Developer’s Name], we implemented a dynamic filtering system that optimizes search results based on user-selected attributes, providing a personalized and efficient shopping experience.

3️⃣ Real-time Price Comparison: Leveraging our web scraping expertise, we retrieved real-time pricing data from multiple vendors, enabling users to make informed purchasing decisions with accurate and up-to-date information.

4️⃣ User-Friendly APIs: Collaborating with our backend and frontend teams, we utilized Django REST Framework (DRF) to create robust and secure APIs, ensuring seamless integration with other platforms and facilitating third-party integrations.

5️⃣ Enhanced User Management: Working closely with our scrapping and frontend teams, we implemented user authentication and authorization using Djoser and JWT tokens, allowing secure access to user-specific features such as saved favorites and personalized alerts.

6️⃣ Price History Tracking: In collaboration with our scrapping team, we developed a feature to track the price history of products, providing users with historical price trends and empowering them to make informed decisions based on past fluctuations.

7️⃣ Price Drop Alerts: Collaborating with our frontend team, we implemented a functionality that allows users to set price drop alerts for their favorite products. Users receive notifications when the price of a tracked product reaches their desired price threshold, ensuring they never miss out on great deals.

8️⃣ Performance Optimization: In collaboration with our backend and caching experts, we leveraged PostgreSQL for efficient data storage and retrieval, while Redis caching significantly improved the performance of dynamic filtering, reducing database load and enhancing user experience.

🔹 Design Patterns and Best Practices:

Model-View-Template (MVT) architecture in Django for a clear separation of concerns and maintainable codebase.
Object-Relational Mapping (ORM) for seamless database integration and efficient data management.
API-first approach with DRF, promoting extensibility and scalability for future enhancements.
Test-driven development (TDD) to ensure robustness and maintain code quality.
Documentation-driven development using drf-yasg, providing clear and interactive API documentation for seamless collaboration with frontend teams.

🛍️ Calling all savvy shoppers! As a passionate backend engineer, I am thrilled to share my latest project: the Price Comparison Website—a true game-changer in the world of online shopping! 🤩

My role as the backend engineer involved managing the heart of the platform—the business logic. I designed and developed APIs that processed existing data, empowering the frontend to offer functionalities like search, comparison, browsing, and more. Additionally, I implemented secure user management with Djoser and JWT tokens, ensuring seamless access to personalized features such as saved favorites and price drop alerts. 🔐✨

In my pursuit of excellence, I optimized platform performance using the Model-View-Template (MVT) architecture and Object-Relational Mapping (ORM). Adopting an API-first approach with DRF, I enabled effortless integration with other platforms and future scalability. My commitment to test-driven development (TDD) ensured robustness and code quality, while documentation-driven development with drf-yasg made seamless collaboration with frontend teams a breeze. 📚🚀

With the Price Comparison Website, I’ve combined my passion for backend development with a vision to revolutionize how we shop online. Embracing the latest tech and design patterns, I’m proud to have delivered a project that empowers users to shop smartly, save time, and find the best deals—all at their fingertips. 🛒💻

So, if you’re ready to embark on a shopping journey like no other, don’t miss out! Subscribe now to witness the magic of the Price Comparison Website. Let’s explore the future of online shopping together! 🌟

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