

Tuva Shirley
Harvesting Auction Listings from Aucfan.com via Ruby & Firebase: Analyzing Bidding Trends, Price History, and Seller Reputation for Resale Market Insights
Harvest auction data from Aucfan.com using Ruby & Firebase to analyze bidding trends, price history, and seller reputation for resale market insights.
Extracting Electronics Listings from EK.ua via C++ & DynamoDB: Tracking Price Reductions, Store Availability, and User Feedback in the Ukrainian Market
Extract electronics data from EK.ua using C++ & DynamoDB to monitor price drops, store availability, and user reviews in Ukraine’s market.
Collecting E-Commerce Data from Hotline.ua via Go & SQLite: Extracting Popular Products, Flash Sales, and Market Trends for Business Research
Extract e-commerce data from Hotline.ua using Go & SQLite to analyze popular products, flash sales, and market trends for insightful business research.
Mining Tech Prices from Skapiec.pl Using JavaScript & MySQL: Collecting Laptop & Smartphone Price Trends, Deals, and Store Ratings
“Learn to mine tech prices from Skapiec.pl using JavaScript & MySQL. Track laptop & smartphone trends, deals, and store ratings efficiently.”
Scraping ShopperMeet.net with Python & Redis: Fetching User Reviews, Daily Deals, and Online Retailer Price Trends for Consumer Insights
Learn to scrape ShopperMeet.net using Python & Redis to gather user reviews, daily deals, and price trends, providing valuable consumer insights.