- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
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 Databases & Datasets
Here is our curated selection of top Food Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Grocery Data | Food Data | Food & Grocery Data | Industry Data | Grocery POI and SKU Level Product Data from 1M+ Locations with Prices
Company Registry Data | Food & Beverage Industry Worldwide | Comprehensive Profiles with Firmographic Insights | Best Price Guaranteed
Competitive Intelligence Data -Food & Beverage Industry - USA
Restaurant Location Data | Domino's Pizza, Wendy's & Chipotle Fast Food Restaurants in US and Canada
FoodPanda Food & Grocery Transaction Data | Email Receipt Data | Asia | Granular & Aggregate Data available
Grepsr | Comprehensive Dataset of Fast-food Chains' Store (Starbucks, Mcdonalds, Subway, & more) Location
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
Mintec Food & Non-food Commodities Pricing Database - Global Coverage
Restaurants, Fast Food, USA, Top 25 | 200k+ PoIs with 30+ Attributes | monthly updates | API & Datasets
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Top Food Data Providers & Companies
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Success.ai
CoverageUSAUK+248VI’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!
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AutoScraping
CoverageUSAUK+248We convert millions of unstructured data on structured, clean and precise data.+300Clients100%Job succes on Upwork+100kScraped websites -
Measurable AI
CoverageUSAUK+248- Largest e-receipts panel for emerging markets: Asia, Latin America, Middle East, Turkey, and India - SKU level high definition transactional data that is anonymized and available in granular or aggregated form on a weekly basis - We own our datasets with strict privacy measures in placeGDPR/CCPACompliantSourceOwn consumer appsCoverageEmerging Markets -
Xtract
CoverageUSAUK+248VIt has been a great experience working with Xtract.io. Their data quality was top-notch, helping us strategize new locations for business expansion. Thank you, team, for giving us the right datasets that we require to expand our store outlets.
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Grepsr
CoverageUSAUK+247VUtilizing Grepsr's data solutions, we employed their capabilities to efficiently retrieve a substantial volume of job posting information. The acquired dataset played a pivotal role in supporting our strategic marketing initiatives, demonstrating the versatility and effectiveness of Grepsr's data services in enhancing our business intelligence and outreach endeavors.
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Consumer Edge
CoverageUSAUK+248Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Transaction data, scanner data, web data, and email receipt data spans dozens of industries, hundreds of companies, and global geographies to empower strategic decision-making.100M+Credit & Debit Cards30K+Public & Private Brands700+Parent Companies
Popular Use Cases for Food Data
Food Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Food Data.
Main Attributes of Food Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 66 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 57 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 46 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 41 datasets | |
| String | The postal code of an address. | View 35 datasets | |
| String | The name of a country. | View 33 datasets |
Frequently Asked Questions
How is the Quality of Food Data Maintained?
The quality of Food Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Food Data Updated?
The update frequency for Food Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Food Data Secure?
The security of Food Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Food Data Delivered?
Food Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Food Data.
How Much Does Food Data Cost?
The cost of Food Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Food Data for your needs.
What Are Similar Data Types to Food Data?
Food Data is similar to other data types, such as Agricultural Data, Marketing Data, Education Industry Data, and Insurance Data. These related categories are often used together for applications like Agricultural Development.
