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freelancer.com 2026-04-27 🟡
🔹 Real-time Fashion Deal Discovery Website
👤 Client: 🇮🇳 Pune, India Member since 2014-08-18
💰 Price: $96 Average bid
🚩 Problem: Integrate multiple D2C fashion websites into one platform for real-time deal discovery and seamless navigation.
📦 Existing: Not specified
Specifications:
[Target] Implement a web scraping solution to extract product data from Myntra, Ajio, Tata Cliq, Tommy Hilfiger, Louis Philippe, and other D2C websites.
[Method] Use Python with libraries like BeautifulSoup or Scrapy for web scraping. Ensure compliance with each website's terms of service.
[UI/UX] Design a user-friendly interface allowing users to filter products by brand, size, price, discounts, fit, category, etc.
[Stack] Frontend: React.js; Backend: Node.js; Database: MongoDB; API Gateway: Express.js
[Security] Implement rate limiting and IP rotation to avoid detection. Ensure data privacy compliance with GDPR or CCPA.
[Format] Store scraped data in a structured JSON format for easy querying and display on the website.
Workflow:
Define scraping rules and targets for each D2C fashion website.
Set up web scraping infrastructure using Python libraries like BeautifulSoup or Scrapy.
Develop API endpoints to serve real-time product data to the frontend application.
Implement filtering mechanisms in the frontend based on user inputs.
Test the integration with multiple D2C websites and ensure compliance with their terms of service.