The Challenge Our client, an investment and business acquisition firm, wanted to collect business listings, contact details, pricing, and category information from the BuyBiz platform. Their goal was to analyze opportunities for mergers, acquisitions, and franchise expansion by building a structured, up-to-date database of available businesses. Hurdles We Faced Our Step-by-Step Approach Requirement Analysis:Defined essential […]
The Challenge Our client, a real estate and smart mobility analytics company, needed to gather parking space listings, availability, pricing, and user data from the Parkable platform. The goal was to analyze parking trends, compare rates, and build a dataset for automated space allocation and demand prediction. Hurdles We Faced Our Step-by-Step Approach Requirement Analysis:Defined […]
The Challenge Our client, a price comparison and e-commerce analytics company, wanted to extract product and seller data from Flipkart, including product titles, prices, ratings, reviews, stock status, and seller details. The goal was to create a real-time product intelligence system for monitoring trends and competitor performance. Manual data collection was not feasible due to […]
The Challenge Our client, an electric mobility analytics firm, wanted to collect charging station data from the EVgo App, including station names, locations, availability, connector types, pricing, and live status. The objective was to create a unified EV infrastructure map and analyze charging network performance across the U.S. Manual collection through the app was impractical […]
The Challenge Our client, an edtech analytics company, wanted to extract course, instructor, and pricing data from Udemy to analyze market trends, pricing strategies, and topic popularity. With thousands of courses added or updated daily, manual tracking was unfeasible. Hurdles We Faced Our Step-by-Step Approach Requirement Analysis:Defined key fields – course title, instructor, category, rating, […]
The Challenge Our client, a travel aggregator and analytics company, needed to extract bus route, schedule, pricing, and operator data from Redbus. The goal was to aggregate intercity transport data for route comparison, fare analysis, and market insights. Manual data collection from thousands of routes across states was inefficient and incomplete. Hurdles We Faced Our […]
The Challenge Our client, a gaming analytics startup, wanted to extract CSGO player inventory data including skins, item wear, float values, rarity, and market prices from public inventories. The goal was to build a platform for market price tracking, inventory valuation, and trend analytics. Manual tracking was impossible due to dynamic inventory updates and market […]
The Challenge Our client, an educational analytics and research firm, wanted to extract academic, faculty, and program data from New York University (NYU). The objective was to build a centralized academic directory for research analysis, university comparison, and collaboration mapping. Manual data collection from multiple departmental websites was inefficient and inconsistent. Hurdles We Faced Our […]
The Challenge Our client, an interior design and tile distribution company, wanted to extract complete product catalog data from Unique Design Solutions, including product names, categories, dimensions, materials, colors, and images. The goal was to centralize all design products into one structured database for digital marketing, e-commerce listing, and inventory comparison. Manual collection was slow, […]
The Challenge Our client, a tile distribution and design analytics firm, wanted to extract complete product data from Happy Floors, including product names, series, colors, finishes, sizes, and technical specifications. The goal was to create a unified product catalog for competitive analysis and digital showroom integration. Manual extraction was time-consuming and unable to keep up […]