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Eugenija Heliodoros posted a new post. a year ago
Extracting Luxury Apparel Trends from Massimo Dutti with C# & Microsoft SQL Server: Fetching Premium Fashion Pricing, Limited Editions, and Customer FeedbackDiscover how to extract luxury apparel trends from Massimo Dutti using C# & SQL Server, focusing on pricing, limited editions, and customer feedback analysis.
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Jude Eunomia posted a new post. a year ago
Scraping E-Commerce Deals from Submarino with Python & Firebase: Extracting Tech Discounts, Product Stock Levels, and Customer ReviewsLearn to scrape e-commerce deals from Submarino using Python & Firebase, extracting tech discounts, product stock levels, and customer reviews efficiently.
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Koa Linn posted a new post. a year ago
Extracting Online Shopping Deals from MatahariMall with JavaScript & PostgreSQL: Fetching Flash Sales, Clothing Discounts, and Trending ProductsLearn to extract online shopping deals from MatahariMall using JavaScript & PostgreSQL. Fetch flash sales, clothing discounts, and trending products efficiently.
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Iris Prudence posted a new post. a year ago
Extracting Fashion Trends from H&M Using Ruby & MariaDB: Collecting New Collection Launches, Discount Trends, and Customer RatingsDiscover how to extract fashion trends from H&M using Ruby & MariaDB by analyzing new collections, discount patterns, and customer ratings efficiently.
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Eugenija Heliodoros posted a new post. a year ago
Crawling Stradivarius Using Kotlin & DynamoDB: Tracking Women’s Fashion Discounts, Best-Selling Items, and Seasonal PromotionsTrack Stradivarius fashion discounts, best-sellers, and promotions using Kotlin & DynamoDB. Efficiently crawl and analyze women’s fashion trends and deals.
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Lulit Sharada posted a new post. a year ago
Harvesting Shoe Prices from Zappos Using Node.js & DynamoDB: Extracting Sneaker Trends, Best-Selling Footwear, and Seasonal DiscountsLearn to harvest shoe prices from Zappos using Node.js & DynamoDB, uncovering sneaker trends, best-sellers, and seasonal discounts efficiently.
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Takahiro Garnet posted a new post. a year ago
Extracting US Shopping Trends from BestDealsUSA.com via Swift & Firebase: Gathering Limited-Time Offers, Store Discounts, and Consumer RatingsDiscover US shopping trends with Swift & Firebase on BestDealsUSA.com: track limited-time offers, store discounts, and consumer ratings efficiently.
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Jochem Gunvor posted a new post. a year ago
Extracting E-Commerce Insights from Akakce.com Using PHP & MySQL: Collecting Price Histories, Store Ratings, and Best Deals for Consumer ResearchLearn to extract e-commerce insights from Akakce.com using PHP & MySQL, focusing on price histories, store ratings, and best deals for consumer research.
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Hadriana Misaki posted a new post. a year ago
Extracting Price Comparisons from Trovaprezzi.it Using Python & PostgreSQL: Tracking Retailer Discounts, Product Listings, and Historical PricesLearn to extract price comparisons from Trovaprezzi.it using Python & PostgreSQL for tracking discounts, product listings, and historical prices efficiently.
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Deisy Swarna posted a new post. a year ago
Extracting Shopping Trends from Zbozi.cz via Kotlin & DynamoDB: Analyzing Top Deals, Price Comparisons, and Seller Ratings for Czech E-CommerceExtract shopping trends from Zbozi.cz using Kotlin & DynamoDB. Analyze top deals, price comparisons, and seller ratings for Czech e-commerce insights.
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