SKU-Level Transaction Data | Point-of-Sale (POS) Data | 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions

#	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
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#	_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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#	_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
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx
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Volume

20M

Restaurant Menu items

Data Quality

100%

Accurate Product Prices

Avail. Formats

.bin, .json, and .xml

File

Coverage

250

Countries

History

years

[Sample] mcdonalds_sample.csv

Attribute	Type	Example
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

[Sample] Target_sample.csv

Attribute	Type	Example
_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] BestBuy_sample.csv

Attribute	Type	Example
_id	String	10:6482022
name	String	Insignia™ - 32" Class F20 Series LED HD Smart Fire TV
store_name	String	BestBuy
store_uuid	Integer	10
item_link	String	https://bestbuy.com/site/6482022.p?skuId=6482022
store_type	String	grocery
unit_size	Float	1.0
unit_measurement
delivery_enabled	Boolean	f
pickup_enabled	Boolean	f
price	Integer	12999
full_price	Integer	12999
product_image	String	https://pisces.bbystatic.com/image2/BestBuy_US/images/pro...
lineage	String	[{'category_id': 'pcmcat142300050026', 'category_name': '...
updated	String	01/20/2025
street_addr	String	1795 County Rd D E
city	String	Maplewood
state	String	MN
zipcode	Integer	55109
country	String	US
lat	Float	45.0363285
lon	Float	-93.0260475
operational_hours	String	{'Monday': '08:00AM - 08:00AM', 'Tuesday': '08:00AM - 08:...

MealMe provides grocery and retail SKU-level product data, including prices, from the top 100 retailers across the USA and Canada. Our real-time data empowers businesses with insights for competitive analysis, pricing strategies, and market research, ensuring accurate and actionable intelligence.

MealMe provides comprehensive grocery and retail SKU-level product data, including real-time pricing, from the top 100 retailers in the USA and Canada. Our proprietary technology ensures accurate and up-to-date insights, empowering businesses to excel in competitive intelligence, pricing strategies, and market analysis. Retailers Covered: MealMe’s database includes detailed SKU-level data and pricing from leading grocery and retail chains such as Walmart, Target, Costco, Kroger, Safeway, Publix, Whole Foods, Aldi, ShopRite, BJ’s Wholesale Club, Sprouts Farmers Market, Albertsons, Ralphs, Pavilions, Gelson’s, Vons, Shaw’s, Metro, and many more. Our coverage spans the most influential retailers across North America, ensuring businesses have the insights needed to stay competitive in dynamic markets. Key Features: SKU-Level Granularity: Access detailed product-level data, including product descriptions, categories, brands, and variations. Real-Time Pricing: Monitor current pricing trends across major retailers for comprehensive market comparisons. Regional Insights: Analyze geographic price variations and inventory availability to identify trends and opportunities. Customizable Solutions: Tailored data delivery options to meet the specific needs of your business or industry. Use Cases: Competitive Intelligence: Gain visibility into pricing, product availability, and assortment strategies of top retailers like Walmart, Costco, and Target. Pricing Optimization: Use real-time data to create dynamic pricing models that respond to market conditions. Market Research: Identify trends, gaps, and consumer preferences by analyzing SKU-level data across leading retailers. Inventory Management: Streamline operations with accurate, real-time inventory availability. Retail Execution: Ensure on-shelf product availability and compliance with merchandising strategies. Industries Benefiting from Our Data CPG (Consumer Packaged Goods): Optimize product positioning, pricing, and distribution strategies. E-commerce Platforms: Enhance online catalogs with precise pricing and inventory information. Market Research Firms: Conduct detailed analyses to uncover industry trends and opportunities. Retailers: Benchmark against competitors like Kroger and Aldi to refine assortments and pricing. AI & Analytics Companies: Fuel predictive models and business intelligence with reliable SKU-level data. Data Delivery and Integration MealMe offers flexible integration options, including APIs and custom data exports, for seamless access to real-time data. Whether you need large-scale analysis or continuous updates, our solutions scale with your business needs. Why Choose MealMe? Comprehensive Coverage: Data from the top 100 grocery and retail chains in North America, including Walmart, Target, and Costco. Real-Time Accuracy: Up-to-date pricing and product information ensures competitive edge. Customizable Insights: Tailored datasets align with your specific business objectives. Proven Expertise: Trusted by diverse industries for delivering actionable insights. MealMe empowers businesses to unlock their full potential with real-time, high-quality grocery and retail data. For more information or to schedule a demo, contact us today!

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.)

5 years of historical data

20 million	Restaurant Menu items
1 million	Restaurant Locations

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

Request detailed pricing

Self-reported by the provider

100%

Accurate Product Prices

100%

Realtime (if needed)

100%

Accurate POI Data

Methods

Frequency

Format

Pricing Strategy

Pricing Optimization

Company Analysis Market Share Analysis

Pricing Analysis

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What is SKU-Level Transaction Data Point-of-Sale (POS) Data 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions?

What is SKU-Level Transaction Data Point-of-Sale (POS) Data 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions used for?

This product has 5 key use cases. MealMe recommends using the data for Pricing Strategy, Pricing Optimization, Company Analysis, Market Share Analysis, and Pricing Analysis. Global businesses and organizations buy Point-of-Sale (POS) Data from MealMe to fuel their analytics and enrichment.

Who can use SKU-Level Transaction Data Point-of-Sale (POS) Data 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Point-of-Sale (POS) 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 SKU-Level Transaction Data Point-of-Sale (POS) Data 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions go?

This product has 5 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 SKU-Level Transaction Data Point-of-Sale (POS) Data 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions 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 SKU-Level Transaction Data Point-of-Sale (POS) Data 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions cost?

Pricing information for SKU-Level Transaction Data Point-of-Sale (POS) Data 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions 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 SKU-Level Transaction Data Point-of-Sale (POS) Data 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions?

Businesses can buy Point-of-Sale (POS) 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 SKU-Level Transaction Data Point-of-Sale (POS) Data 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions?

MealMe has reported that this product has the following quality and accuracy assurances: 100% Accurate Product Prices, 100% Realtime (if needed), 100% Accurate POI Data. You can compare and assess the data quality of MealMe using Datarade’s data marketplace.

What are similar products to SKU-Level Transaction Data Point-of-Sale (POS) Data 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions?

This product has 3 related products. These alternatives include The Data Appeal Company Automotive Data Electric Vehicle Charging Stations Data 251M POI Mapped Datasets Coverage from 2019, Consumer Edge Home & Garden Transaction Data US Retail Sales Tickerized Data 100M Credit & Debit Cards, 12K Merchants, 800 Companies, 600 Tickers, and Granular SKU-Level Transaction Data Global Ecommerce Transactional Data for Emerging Markets. You can compare the best Point-of-Sale (POS) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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SKU-Level Transaction Data | Point-of-Sale (POS) Data | 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

MealMe
Realtime Grocery, Restaurant, and Retail Data

Trusted by

SKU-Level Transaction Data | Point-of-Sale (POS) Data | 1M+ Grocery, Restaurant, and Retail stores stores with SKU level transactions

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

MealMe Realtime Grocery, Restaurant, and Retail Data

Trusted by

MealMe
Realtime Grocery, Restaurant, and Retail Data