Large Language Model (LLM) Data | Machine Learning (ML) Data | AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores product image in hero

Large Language Model (LLM) Data | Machine Learning (ML) Data | AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores

MealMe
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lineage
image
price
store_name
local_hours
pickup_enabled
delivery_enabled
store_type
updated
street_addr
city
state
zipcode
country
lon
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#
store_uuid
store_type
unit_size
unit_measurement
delivery_enabled
pickup_enabled
price
full_price
product_image
lineage
updated
street_addr
country
lon
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Sign In To Preview Data
#
_id
name
store_name
store_uuid
item_link
store_type
unit_size
unit_measurement
delivery_enabled
pickup_enabled
price
full_price
product_image
lineage
updated
street_addr
city
state
zipcode
country
lat
lon
operational_hours
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Sign In To Preview Data
#
name
_id
lineage
image
price
store_name
store_uuid
link
local_hours
pickup_enabled
delivery_enabled
store_type
updated
street_addr
city
state
zipcode
country
lat
lon
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx
2 Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx
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Volume
1B
Records
Avail. Formats
.bin, .json, and .xml
File
Coverage
250
Countries
History
1
years

Data Dictionary

[Sample] restaurant_data.csv
Attribute Type Example Mapping
String Two Medium Pizzas Four Toppings Each With A Pop (2 L) Product ID
String 545a9727-96c5-49a1-a04d-6dd3eb2286d8:cef5a720-e333-4274-b... Product Name
lineage
String [{'category_id': '069a0717-56a8-4355-ab79-c13c511b6b9d', ...
image
price
Integer 3245
store_name
String Tito's Pizza
String 545a9727-96c5-49a1-a04d-6dd3eb2286d8 POI ID
String https://www.skipthedishes.com/-main-street URL
local_hours
String {'Monday': 'Closed', 'Tuesday': '11:15AM - 11:45PM', 'Wed...
pickup_enabled
Boolean t
delivery_enabled
Boolean t
store_type
String restaurant
updated
String 01/22/2025
street_addr
String 69 Main St S
city
String Brant
state
String ON
zipcode
String N0E 1N0
country
String CA
Float 43.2418813 Latitude
lon
Float -80.25221359999999
[Sample] retailer_data.csv
Attribute Type Example Mapping
String 10052:566560 Product ID
String Fridababy Easy Grip Electric Nail Trimmer Product Name
String CVS POI Name
store_uuid
Integer 10052
String https://www.cvs.com/shop/fridababy-easy-grip-electric-nai... Product URL
store_type
String grocery
unit_size
Float 1.0
unit_measurement
String oz
delivery_enabled
Boolean t
pickup_enabled
Boolean t
price
Integer 3499
full_price
Integer 3499
product_image
String https://www.cvs.com/bizcontent/merchandising/productimage...
lineage
String [{'name': 'Baby & Kids', 'uuid': 'cat2024', 'url': ''}, {...
updated
String 01/23/2025
street_addr
String 1515 Sheridan Rd.
String Wilmette City Name
String IL State Abbreviation
Integer 60091 ZIP Code
country
String US
Float 42.08661 Latitude
lon
Float -87.70188
String {'Monday': '08:00AM - 08:00AM', 'Tuesday': '08:00AM - 08:... POI Opening Hours
[Sample] Target_sample.csv
Attribute Type Example Mapping
_id
String 100:89194258
name
String Monster Jam Grave Digger RC Monster Truck 1:64 Scale
store_name
String Target
store_uuid
Integer 100
item_link
String https://www.target.com/p/monster-jam-grave-digger-rc-mons...
store_type
String grocery
unit_size
Float 1.0
unit_measurement
delivery_enabled
Boolean t
pickup_enabled
Boolean t
price
Integer 1499
full_price
Integer 2499
product_image
String https://target.scene7.com/is/image/Target/GUEST_18a4b378-...
lineage
String [{'name': 'Toys', 'uuid': '5xtb0', 'url': ''}, {'name': '...
updated
String 12/18/2024
street_addr
String 13201 Ridgedale Dr
city
String Minnetonka
state
String MN
zipcode
Integer 55305
country
String US
lat
Float 44.970157
lon
Float -93.447411
operational_hours
String {'Monday': '07:00AM - 11:45PM', 'Tuesday': '07:00AM - 11:...
[Sample] mcdonalds_sample.csv
Attribute Type Example Mapping
name
String Sausage Mcmuffin
_id
String 36677:78#0
lineage
String [{'category_id': '301', 'category_name': 'Mcvalue Menu'}]
image
String https://us-prod5-digitalasset.s3.amazonaws.com/MO_202411_...
price
Integer 0
store_name
String McDonald's
store_uuid
Integer 36677
link
String https://www.mcdonalds.com/us/en-us/location/ca/san-franci...
local_hours
String {'Monday': '06:00AM - 12:00AM', 'Tuesday': '06:00AM - 12:...
pickup_enabled
Boolean t
delivery_enabled
Boolean t
store_type
String restaurant
updated
String 01/22/2025
street_addr
String 441 Sutter St
city
String San Francisco
state
String CA
zipcode
Integer 94108
country
String US
lat
Float 37.789217
lon
Float -122.407641

Description

Comprehensive training data on 1M+ stores across the US & Canada. Includes detailed menus, inventory, pricing, and availability. Ideal for AI/ML models, powering retrieval-augmented generation, search, and personalization systems.
A comprehensive dataset covering over 1 million stores in the US and Canada, designed for training and optimizing retrieval-augmented generation (RAG) models and other AI/ML systems. This dataset includes highly detailed, structured information such as: Menus: Restaurant menus with item descriptions, categories, and modifiers. Inventory: Grocery and retail product availability, SKUs, and detailed attributes like sizes, flavors, and variations. Pricing: Real-time and historical pricing data for dynamic pricing strategies and recommendations. Availability: Real-time stock status and fulfillment details for grocery, restaurant, and retail items. Applications: Retrieval-Augmented Generation (RAG): Train AI models to retrieve and generate contextually relevant information. Search Optimization: Build advanced, accurate search and recommendation engines. Personalization: Enable personalized shopping, ordering, and discovery experiences in apps. Data-Driven Insights: Develop AI systems for pricing analysis, consumer behavior studies, and logistics optimization. This dataset empowers businesses in marketplaces, grocery apps, delivery services, and retail platforms to scale their AI solutions with precision and reliability.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

1 years of historical data

Volume

1 billion Records
1 million Stores
100 million SKUs

Pricing

MealMe has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Email
UI Export
REST API
SOAP API
Streaming API
Feed API
Frequency
secondly
minutely
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.bin
.json
.xml
.csv
.xls
.sql
.txt

Use Cases

Artificial Intelligence (AI)
Machine Learning (ML)
Deep Learning
Data-Efficient Machine Learning
LLM Training

Categories

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Frequently asked questions

What is Large Language Model (LLM) Data Machine Learning (ML) Data AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores?

Comprehensive training data on 1M+ stores across the US & Canada. Includes detailed menus, inventory, pricing, and availability. Ideal for AI/ML models, powering retrieval-augmented generation, search, and personalization systems.

What is Large Language Model (LLM) Data Machine Learning (ML) Data AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores used for?

This product has 5 key use cases. MealMe recommends using the data for Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Data-Efficient Machine Learning, and LLM Training. Global businesses and organizations buy Machine Learning (ML) Data from MealMe to fuel their analytics and enrichment.

Who can use Large Language Model (LLM) Data Machine Learning (ML) Data AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Machine Learning (ML) Data. Get in touch with MealMe to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Large Language Model (LLM) Data Machine Learning (ML) Data AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores go?

This product has 1 years of historical coverage. It can be delivered on a secondly, minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.

Which countries does Large Language Model (LLM) Data Machine Learning (ML) Data AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. MealMe is headquartered in United States of America.

How much does Large Language Model (LLM) Data Machine Learning (ML) Data AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores cost?

Pricing information for Large Language Model (LLM) Data Machine Learning (ML) Data AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores is available by getting in contact with MealMe. Connect with MealMe to get a quote and arrange custom pricing models based on your data requirements.

How can I get Large Language Model (LLM) Data Machine Learning (ML) Data AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores?

Businesses can buy Machine Learning (ML) Data from MealMe and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, MealMe can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of Large Language Model (LLM) Data Machine Learning (ML) Data AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores?

You can compare and assess the data quality of MealMe using Datarade’s data marketplace.

What are similar products to Large Language Model (LLM) Data Machine Learning (ML) Data AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores?

This product has 3 related products. These alternatives include AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models, Foundation Model Data Collection and Data Annotation Large Language Model(LLM) Data SFT Data Red Teaming Services, and FileMarket 20,000 Voice Memos Multilingual Training Data for Conversational AI Machine Learning (ML) Data. You can compare the best Machine Learning (ML) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

MealMe

Realtime Grocery, Restaurant, and Retail Data

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