Over 10 years we help companies reach their financial and branding goals. Engitech is a values-driven technology agency dedicated.

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Scraping Web Scraping

Case Study: Restaurant & Menu Data Scraping from Wetherspoon

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 […]

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Case Study: Pub & Menu Data Scraping from Nicholson’s Pubs

The Challenge Our client, a hospitality insights company, wanted to collect pub details, menu data, pricing, and contact information from the Nicholson’s Pubs website. The goal was to build a centralized database for analyzing menu trends, offers, and pub locations across the UK. Hurdles We Faced Our Step-by-Step Approach Requirement Analysis:Identified key data fields – […]

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Case Study: Venue & Menu Data Scraping from Crafted Social

The Challenge Our client, a hospitality and nightlife insights company, wanted to extract venue details, food & drink menus, pricing, and contact information from the Crafted Social website. The goal was to build a centralized hospitality database to analyze trends, pricing, and customer offerings across all Crafted Social venues. Hurdles We Faced Our Step-by-Step Approach […]

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Case Study: Menu & Location Data Scraping from Be At One

The Challenge Our client, a hospitality analytics and nightlife directory company, wanted to extract menu details, bar locations, timings, and contact information from the Be At One website. The goal was to create a centralized database of cocktail menus and branch details for trend analysis and listing automation. Hurdles We Faced Our Step-by-Step Approach Requirement […]

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Case Study: Product Catalog Data Scraping from Coswick

The Challenge Our client, a flooring distributor and design analytics firm, needed to extract complete product data, specifications, and images from the Coswick website. Their goal was to create a comprehensive product catalog for internal comparison, pricing analysis, and integration into their online retail system. Hurdles We Faced Our Step-by-Step Approach Requirement Analysis:Identified key fields […]

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Case Study: Product & Catalog Data Scraping from Cosentino

The Challenge Our client, a building materials distributor, wanted to collect product details, surface designs, colors, finishes, and technical specifications from the Cosentino website. The goal was to build a centralized product catalog for comparison, pricing analysis, and integration with their own B2B platform. Hurdles We Faced Our Step-by-Step Approach Requirement Analysis:Identified core fields — […]

Scraping Web Scraping

Case Study: Product Data Scraping from Cali Floors

The Challenge Our client, a flooring and interior design marketplace, needed to extract product details, pricing, specifications, and images from the Cali Floors website. The objective was to compile a complete flooring product catalog for comparison, pricing analysis, and resale listing automation. Hurdles We Faced Our Step-by-Step Approach Requirement Analysis:Outlined key data points — product […]

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Case Study: Social Media Content Scraping from 9GAG

The Challenge Our client, a media analytics startup, wanted to extract memes, posts, categories, engagement metrics, and user data from 9GAG to study viral trends, audience behavior, and content performance. The goal was to build a trend-tracking dashboard that could identify top-performing memes in real time. Hurdles We Faced Our Step-by-Step Approach Requirement Analysis:Defined key […]

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Case Study: Business Registry Data Scraping from ABR Australia

The Challenge Our client, a business intelligence and compliance solutions provider, wanted to extract business registration details, ABNs, entity types, and location data from the Australian Business Register (ABR). The goal was to create a centralized dataset for validating business entities, tracking registrations, and analyzing market distribution across industries in Australia. Hurdles We Faced Our […]