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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

Crawling Geizhals.de with Java & PostgreSQL: Extracting Product Ratings, Price Variations, and Retailer Discounts for German E-Commerce

Scraping Smartprix.com Using Swift & Redis: Fetching Smartphone Comparisons, Feature Lists, and User Reviews for Tech Buyers

Crawling Heureka.cz with C# & Microsoft SQL Server: Extracting Retailer Listings, Price Drops, and Customer Reviews for Competitive Pricing Analysis

Monitoring NVIDIA RTX 5080 and 5090 Availability on Newegg with Python & PostgreSQL: Scraping Stock Status, Pricing, and Seller Listings

Scraping Idealo.de via JavaScript & MongoDB: Extracting Price Comparisons, Retailer Discounts, and Product Trends for Competitive Analysis

Crawling MyDealz.de via Ruby & Firebase: Fetching Community-Submitted Deals, Flash Sales, and Voucher Codes for German E-Commerce Analysis

Harvesting Electronics Deals from Cimri.com Using Go & SQLite: Collecting Tech Discounts, Best-Selling Products, and Consumer Ratings

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