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Singapore Restaurant Insights via Food App Dataset Analysising 5000+ Restaurants in Singapore with Food App Dataset Introduction ArcTechnolabs provided a comprehensive Food Delivery Menu Dataset that helped the client extract detailed menu and pricing data from major food delivery platforms such as GrabFood, Foodpanda, and Deliveroo. This dataset included valuable insights into restaurant menus, pricing strategies, delivery...0 Комментарии 0 Поделились 852 Просмотры 0 предпросмотр
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Uber Eats Data Scraping For Menus And Pricing InsightsIntroduction In the fast-paced world of online food delivery, timely and accurate data is the backbone of strategic decisions. Uber Eats Data Scraping allows businesses to access precise restaurant listings, menu details, and pricing information, enabling smarter operations and competitive insights. With millions of restaurants operating on Uber Eats, keeping track of dynamic...0 Комментарии 0 Поделились 447 Просмотры 0 предпросмотр
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Uber Eats, DoorDash & Grubhub Food Delivery Datasets – InsightsIntroduction The food delivery industry is evolving rapidly, with platforms like Uber Eats, DoorDash, and Grubhub leading the market. Businesses need real-time insights from food delivery data scraping to track competitor pricing, monitor restaurant listings, and analyze consumer trends. Extracting structured data from these platforms enables better decision-making, market analysis, and...0 Комментарии 0 Поделились 1Кб Просмотры 0 предпросмотр
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Web scraping for restaurant inventory for Rappi and PedidosYaIntroduction In the fast-paced world of online food delivery, real-time inventory visibility is crucial to ensure seamless customer experience and minimize order failures. Latin America's top food delivery platforms, Rappi and PedidosYa, handle thousands of orders daily, making accurate restaurant inventory tracking essential. With dynamic menus and fluctuating stock levels, food delivery...0 Комментарии 0 Поделились 548 Просмотры 0 предпросмотр