Techsalerator covers all restaurants in the United States. Thanks to our unique sourcing , we can also select the ideal targeted dataset based on unique elements such as the sales volume of a company, the company's location, # of employees, type of business etc...
##Restaurants in the United States Product Overview
List of all restaurant companies in the United States .
Use Cases
Direct Marketing, Business intelligence, Sector analyzis
Description
Value
Update Frequency
monthly
Data Source(s)
Techsalerator
Original Publisher of data
Techsalerator
Data Creation Date
2020
Geographic coverage
United States
Is historical data “point-in-time”
YES
Key Words
restaurant companies in the United States, restaurant businesses in the United States
Number of companies/brands covered
All
Key Data Points
Key data points include:
Pricing Information
This is a free sample ($0,00). For additional pricing on list purchase or yearly license cost for our United States restaurant companies database , contact us at info@techsalerator.com
Need Help?
If you have questions about our products, contact us using the support information below.
info@techsalerator.com
About Techsalerator
We are a global B2B and B2C data company based out of South Florida.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing uses a single pricing dimension called Product Access (Units). It grants subscribers access to the dataset at no cost. There are no tiers, instance sizes, or usage-based add-ons to choose from. You get one access option rather than a range of scaling levels. For specific delivery formats, custom scope, or licensing details beyond this access grant, you work directly with the vendor to confirm terms.
Top-of-mind questions for buyers
What does the free Product Access grant actually give me for this restaurant listing?
You get access to the restaurant dataset covered by this listing. The vendor documents each dataset with coverage, refresh rate, schema, delivery format, and licensing terms. Access is granted to subscribers at no cost through the single Product Access dimension.
How do I receive the data, and in what file formats?
You can receive data through delivery methods like SFTP, email, feed/API, or an S3 bucket. Files arrive in JSON, CSV, XLS, or TXT formats. The vendor handles licensing and compliance on their side before delivery.
Since access is free, when would I need to talk to the vendor about cost?
The listing access itself carries no charge. For custom dataset scope, specific field combinations, geographic focus, or licensing terms beyond this access grant, you confirm scope with the vendor. Their team responds with pricing, licensing, and delivery options for tailored requests.
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Vendor refund policy
This is a free sample.
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Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
This dataset consists of details of 1000+ restaurants for UberEats in United States from UberEats. Data fields include location number, location name, zipcode, latitude, longitude, address, state, city, cuisines, delivery fee, delivery time, service fee, phone, review count, review rating.
This dataset consists of 30MM menu items across 400K+ restaurants across all 50 states and Washington, DC in the United States of America. All menu data is updated monthly.
This dataset consists of a random sample of 100 restaurants with menus from the full dataset that covers all 50 states and Washington, DC in the United States of America. All menu data is updated monthly.