
pass_by Restaurant Traffic Data | USA | 2k+ Restaurant Brands
STOCK_EXCHANGE
|
STOCK_SYMBOL
|
LOCAL_DATE
|
DAILY_VISITS
|
VERSION_ID
|
|||||||
---|---|---|---|---|---|---|---|---|---|---|---|
xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx |
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Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx |
xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | 46778f48-8891-4a1a-a138-a00efda233f6 | POI ID | |
String | 100 Montaditos | POI Name | |
String | 100 Montaditos | Brand Name | |
String | FL | State Abbreviation | |
Integer | 722513 | Company NAICS Name | |
String | Restaurants and Other Eating Places | POI Category | |
String | Limited-Service Restaurants | POI Sub-category | |
STOCK_EXCHANGE
|
String | ||
STOCK_SYMBOL
|
String | ||
LOCAL_DATE
|
DateTime | 2025-06-01T00:00:00+00:00 | |
DAILY_VISITS
|
Float | 2009.0 | |
VERSION_ID
|
Float | 9.0 |
Description
Country Coverage
History
Volume
278,000 | Restaurant Points of Interest |
2,030 | Restaurant Brands |
5 | Sub-categories |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands?
Unlock daily aggregated visit counts to over 2,000 Restaurant Chains across the U.S. This comprehensive dataset, extending back to January 1st, 2019, uniquely includes 90-day predictive traffic forecasts, offering the market’s only forward-looking foot traffic insights.
What is pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands used for?
This product has 5 key use cases. pass_by recommends using the data for Foot Traffic Attribution, Foot Traffic Analytics, Foot Traffic Measurement, Store Visit Attribution, and Foot Traffic Analysis. Global businesses and organizations buy Foot Traffic Data from pass_by to fuel their analytics and enrichment.
Who can use pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Foot Traffic Data. Get in touch with pass_by to see what their data can do for your business and find out which integrations they provide.
How far back does the data in pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands go?
This product has 6 years of historical coverage. It can be delivered on a daily basis.
Which countries does pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands cover?
This product includes data covering 1 country like USA. pass_by is headquartered in United Kingdom.
How much does pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands cost?
Pricing information for pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands is available by getting in contact with pass_by. Connect with pass_by to get a quote and arrange custom pricing models based on your data requirements.
How can I get pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands?
Businesses can buy Foot Traffic Data from pass_by and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, Snowflake Share, Google BigQuery, Google Cloud Storage, Azure Blob Storage, and Databricks Delta Share. Depending on your data requirements and subscription budget, pass_by can deliver this product in .json and .csv format.
What is the data quality of pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands?
pass_by has reported that this product has the following quality and accuracy assurances: 88% monthly correlation to actual traffic, 86% daily correlation to actual traffic, 80% weekly correlation to actual traffic. You can compare and assess the data quality of pass_by using Datarade’s data marketplace.
What are similar products to pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands?
This product has 3 related products. These alternatives include pass_by Restaurant Location Data USA 2k+ Restaurant Brands, Customer Journey Europe Aggregated Foot Traffic Data GDPR-Compliant, and PREDIK Data-Driven I UK Aggregated Foot Traffic Data & Mobility Data I Measure Foot Traffic patterns within the United Kingdom. You can compare the best Foot Traffic Data providers and products via Datarade’s data marketplace and get the right data for your use case.