@RaviErnestas
Ravi Ernestas
Outside of the tech world, I love exploring cities through their street food scenes.
Extracting Department Store Discounts from Macy’s Using Java & Microsoft SQL Server: Tracking Promotions, Seasonal Sales, and Customer Reviews
Learn to extract Macy’s discounts using Java & SQL Server, track promotions, seasonal sales, and analyze customer reviews for strategic insights.
Extracting E-Commerce Data from Jumia via Ruby & MariaDB: Analyzing Marketplace Listings, Vendor Ratings, and Flash Sale Discounts
Learn to extract e-commerce data from Jumia using Ruby & MariaDB, analyzing marketplace listings, vendor ratings, and flash sale discounts efficiently.
Scraping Sears Using Go & SQLite: Fetching Appliance Deals, Product Listings, and Storewide Discounts for Competitive Analysis
Learn to scrape Sears using Go & SQLite for appliance deals, product listings, and discounts, aiding in competitive analysis and market insights.
Harvesting Retail Offers from Kohl’s with Kotlin & Redis: Extracting Discount Coupons, Best-Selling Products, and Customer Loyalty Perks
Discover how to use Kotlin & Redis to extract discount coupons, best-selling products, and customer loyalty perks from Kohl’s retail offers efficiently.
Mining Camera & Tech Prices from B&H Photo Video Using Swift & DynamoDB: Tracking Product Availability, Daily Deals, and Customer Reviews
Track camera & tech prices from B&H Photo Video using Swift & DynamoDB. Monitor product availability, daily deals, and customer reviews efficiently.