What is Food Data?
Food data refers to information and statistics related to various aspects of food, including its nutritional content, ingredients, allergens, and sourcing. It encompasses data on food products, recipes, menus, and dietary guidelines. Food data plays a crucial role in promoting transparency, enabling informed food choices, supporting dietary planning, and ensuring food safety and quality. It is utilized by consumers, health professionals, researchers, and policymakers to make evidence-based decisions regarding nutrition, health, and sustainability.
Examples of Food Data include nutritional information, ingredient lists, allergen information, and food safety data. Food Data is used for various purposes such as meal planning, dietary analysis, product development, and regulatory compliance. In this page, you’ll find the best data sources for comprehensive food data.
Best Food Datasets & APIs
Plugindata | Food Importers, Distributors, Wholesalers Company Data & Contact Data (4M+ businesses, 150+ countries) | Food Data
Competitive Intelligence Data for Food & Beverage Industry
Grepsr | Food Menu, Prices, Deliveries, and Reviews from Food Delivery Sites | Global Coverage with Custom and On-demand Datasets
Xtract.io - Location Data | POI Data | MTY Food Group Restaurants in US
FoodPanda Food & Grocery Transaction Data | Email Receipt Data | Asia | Granular & Aggregate Data available
Consumer Edge Vision Retention Data | CPG, Grocery, Food Delivery Psychographic | US Transaction | 100M+ Cards, 12K+ Merchants, Retail & Ecommerce
Restaurant Location Data Australia | 65k+ Restaurant, Cafes, Takeaway and other Consumer Food Outlet Businesses | Addresses, Contacts, Geo information
Opah Labs | Food Data| USA | (Consumer data w/ 3M records)| 1329
Envestnet | Yodlee's De-Identified Restaurant and Food Delivery Transaction Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations
