On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Food & Grocery Data?
Food & Grocery Data refers to information and statistics related to the food and grocery industry. It includes data on consumer behavior, market trends, sales figures, product categories, pricing, and distribution channels. This data helps businesses in making informed decisions, optimizing supply chains, understanding customer preferences, and developing effective marketing strategies in the food and grocery sector.
Examples of Food & Grocery Data include grocery databases, grocery product databases, and grocery datasets that contain information about various grocery products such as their names, brands, prices, nutritional values, and ingredients. This data is used by retailers, manufacturers, and researchers for market analysis, inventory management, pricing strategies, product development, and consumer insights. In this page, you’ll find the best data sources for food and grocery data.
Best Food & Grocery Databases & Datasets
Here is our curated selection of top Food & Grocery 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
FoodPanda Food & Grocery Transaction Data | Email Receipt Data | Asia | Granular & Aggregate Data available
Vision Retention Data | CPG, Grocery, Food Delivery Psychographic | US Transaction | 100M+ Cards, 12K+ Merchants, Retail & Ecommerce
Envestnet | Yodlee's De-Identified Food and Grocery Transaction Data | Row/Aggregate Level | USA Consumer Data covering 3600+ Companies | 90M+ Accts
Global Product Data |Â Competitor Pricing Data | Stock Keeping Unit (SKU) Data | 1M+ Grocery and Retail stores with SKU level Prices
Locationscloud - Grocery Store Location Data | Complete List of All Grocery Store Locations | USA
Point of Interest (POI) Data | Australia | Make Informed Site Selection Decisions | Business Location Data | Location Data
CustomWeather API | Historical Weather Data | Climate Data | Hourly And Daily | 8,500 Global Weather Stations | Archived Back To The 1940s
Alqami Online Food Purchase Data Global - 5 year history, 500M recipe interactions monthly
99finder | Wholesalers, Importers & Distributors Database with 32M Companies | 150+ Countries | Verified Contact Details
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Top Food & Grocery Data Providers & Companies
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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 -
Dotlas
CoverageUSAUK+23Dotlas helps retailers improve revenue and operations by delivering insights and advanced analytics. We gather, manage, and analyze retail data from hundreds of sources, powering use cases such as competitive intelligence, market analysis, brand protection, and pricing optimization, among others.1.000.000+F&B Locations50+Data Variables per Location -
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 -
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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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.
Popular Use Cases for Food & Grocery Data
Food & Grocery 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 & Grocery Data.
Main Attributes of Food & Grocery 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 12 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 9 datasets | |
| String | The name of a location. | View 9 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 9 datasets | |
| String | The industry classification of a company. | View 8 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 8 datasets |
Frequently Asked Questions
How is the Quality of Food & Grocery Data Maintained?
The quality of Food & Grocery 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 & Grocery Data Updated?
The update frequency for Food & Grocery 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 & Grocery Data Secure?
The security of Food & Grocery 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 & Grocery Data Delivered?
Food & Grocery 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 & Grocery Data.
How Much Does Food & Grocery Data Cost?
The cost of Food & Grocery 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 & Grocery Data for your needs.
