Lulit Sharada
Mining Lululemon with Swift & Firebase: Extracting Sportswear Discounts, Product Reviews, and Store Availability for Market Analysis
Discover how to mine Lululemon data using Swift & Firebase for insights on discounts, product reviews, and store availability to enhance market analysis.
Harvesting Shoe Prices from Zappos Using Node.js & DynamoDB: Extracting Sneaker Trends, Best-Selling Footwear, and Seasonal Discounts
Learn to harvest shoe prices from Zappos using Node.js & DynamoDB, uncovering sneaker trends, best-sellers, and seasonal discounts efficiently.
Crawling Luxury Fashion Listings from Farfetch with Rust & SQLite: Analyzing Designer Brand Prices, Limited-Edition Collections, and Seller Ratings
Explore Rust & SQLite for crawling Farfetch luxury fashion listings, analyzing designer prices, limited-edition collections, and seller ratings efficiently.
Extracting Beauty Trends from Ulta with Kotlin & Microsoft SQL Server: Fetching Best-Selling Cosmetics, Customer Reviews, and Seasonal Promotions
Discover how to extract beauty trends from Ulta using Kotlin and Microsoft SQL Server, focusing on best-selling cosmetics, customer reviews, and seasonal promotions.
Scraping Fashion Sales from Revolve Using Python & Redis: Tracking Price Drops, Limited-Stock Items, and Consumer Trends for Competitive Research
Learn to scrape fashion sales from Revolve using Python & Redis, tracking price drops, limited-stock items, and consumer trends for competitive research.