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Extracting Sustainable Footwear Data from Allbirds Using Python & PostgreSQL: Tracking Product Prices, Customer Reviews, and New Arrivals

Crawling IKEA with Rust & MongoDB: Extracting Furniture Prices, Product Availability, and Customer Ratings for Retail Research

Mining Camera & Tech Prices from B&H Photo Video Using Swift & DynamoDB: Tracking Product Availability, Daily Deals, and Customer Reviews

Extracting Grocery Trends from Ocado Using Go & MongoDB: Fetching Product Prices, Organic Selections, and Customer Ratings for UK Market Analysis

Extracting Beauty Trends from Ulta with Kotlin & Microsoft SQL Server: Fetching Best-Selling Cosmetics, Customer Reviews, and Seasonal Promotions

Mining Streetwear Data from Bershka with JavaScript & Firebase: Analyzing Product Availability, Seasonal Discounts, and Fashion Trends

Web Data Extraction from Zara with Go & MongoDB: Tracking Clothing Restocks, Discount Trends, and Customer Engagement Metrics

Mining Indonesian E-Commerce Trends from Bukalapak Using Node.js & DynamoDB: Extracting Seller Information, Price Fluctuations, and Customer Feedback

Mining Sports Scores from ESPN.com Using Go & Firebase: Tracking Live Match Results, Team Rankings, and Player Statistics

Tracking NVIDIA RTX 5070 Ti Availability on Micro Center with JavaScript & MongoDB: Scraping Stock Levels, Pricing, and Store Locations

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