The Challenge Our client, a business brokerage and investment analytics firm, needed to extract business listings, pricing, location, revenue, and contact details from BizBuySell – one of the largest online marketplaces for buying and selling businesses. The goal was to build a real-time data pipeline to track business sale trends and opportunities across industries. Hurdles […]
The Challenge Our client, a fashion trend analytics company, wanted to collect articles, brand mentions, and trend data from Fashionista — a leading online publication covering the global fashion industry. The goal was to build a structured dataset for tracking emerging brands, influencer coverage, and style trends across categories. Manual extraction was inefficient and could […]
The Challenge Our client, a music data analytics and streaming platform, wanted to extract album, artist, and track information from the Jazzhead website – a leading platform for contemporary jazz releases. The goal was to compile a complete, structured music catalog for integration into their recommendation and analytics system. Hurdles We Faced Our Step-by-Step Approach […]
The Challenge Our client, a flooring retailer, wanted to collect comprehensive product data from the Stanton Carpet website – including carpet styles, materials, colors, patterns, sizes, and collection details. With thousands of SKUs and frequent product updates, manual data collection was both time-consuming and inconsistent. Hurdles We Faced Our Step-by-Step Approach 1. Requirement AnalysisOutlined target […]
The Challenge Our client, a design and decor data aggregator, needed to extract product information, imagery, categories, and specifications from the MindTheGap website. The goal was to build a centralized product database for wallpapers, fabrics, furniture, and lighting collections. Manual collection was inefficient due to the brand’s vast catalog and frequent design launches. Hurdles We […]
The Challenge Our client, a luxury interior decor retailer, wanted to extract wallcovering, fabric, and furniture data from the Thibaut Design website. The goal was to compile a complete catalog with details like patterns, colors, materials, pricing, and images for integration into their eCommerce and design platforms. Manual data collection was time-consuming and unsustainable given […]
The Challenge Our client, a wallpaper retailer, needed to extract product details, patterns, pricing, and specifications from the York Wallcoverings website. The goal was to aggregate the brand’s full catalog for integration into their online store and analytics systems. Manual collection was slow and couldn’t keep up with frequent product updates. Hurdles We Faced Our […]
The Challenge Our client, a luxury interior design aggregator, needed to extract product details, categories, pricing, and design specifications from the House of Hackney website. With a large and visually rich catalog featuring wallpapers, fabrics, furniture, and accessories, manual collection was not feasible for maintaining updated data feeds. Hurdles We Faced Our Step-by-Step Approach 1. […]
The Challenge Our client, a hospitality analytics company, wanted to gather comprehensive restaurant and drinks data from McMullen’s Pubs — including pub locations, menus, pricing, and offers. With dozens of pubs across the UK and regularly updated content, manual collection was inefficient and lacked consistency. Hurdles We Faced Our Step-by-Step Approach 1. Requirement AnalysisDefined the […]
The Challenge Our client, a food analytics and restaurant aggregator platform, needed to extract restaurant details, menus, prices, and nutritional information from the Wetherspoon website. With hundreds of pub locations and frequently changing menu data, manual collection was inefficient and error-prone. Hurdles We Faced Our Step-by-Step Approach 1. Requirement AnalysisWe defined all essential data fields […]