Utilize insights from our online grocery dataset from Sainsbury's to gain a competitive advantage. Our data contains valuable information about consumers, competitors, and the market, which will help you adapt strategies for organizational development. Understand what customers are saying about your products and competitors through their feedback and purchases on online platforms. Analyse consumer behavior, predict demand, and enhance the ability to replenish inventory and fulfill consumer demand. Using grocery delivery data scraping services, you can optimize your operations, improve customer satisfaction, and grow your revenue. Don't stay caught up: use the insightful information using Sainsbury's Grocery Delivery Scraping API Services included in our data set to your advantage across Japan, Italy, Germany, Canada, USA, Australia, UK, UAE, China, India, Switzerland, Qatar, Singapore, Ireland, Macao SAR, Luxembourg, Austria, Denmark, and Norway.
Data points:
Id, product url, product_name, product_weight, Category_1, Category_2, Category_3, Category_4, Price, Price_per_unit, tag, description, Nutritions, Energy_Per_100G, Fat_Per_100G, Saturates_Per_100G, Mono-Unsaturates_Per_100G, Polyunsaturates_Per_100G, Carbohydrate_Per_100G, Sugars_Per_100G, Starch_Per_100G, Fibre_Per_100G, Protein_Per_100G, Salt_Per_100G, Ingredients, Storage, Energy_Per_100Ml, Fat_Per_100Ml, Saturates_Per_100Ml, Mono-Unsaturates_Per_100Ml, Polyunsaturates_Per_100Ml, Carbohydrate_Per_100Ml, Sugars_Per_100Ml, Protein_Per_100Ml, Promo_Price, Fibre_Per_100Ml, Salt_Per_100Ml, Starch_Per_100Ml, Energy_kJ, Energy_kcal, Energy_percentage, Fat_gram, Fat_percentage, Saturates_gram, Saturates_percentage, Sugars_gram, Sugars_percentage, Salt_gram, Salt_percentage
