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Yellowpages Restaurant Listings Data
Food & Beverage Consumption
Tags and Keywords
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Free
About
Data details a collection of restaurant listings sourced from Yellowpages.com. The information captures essential operational details such as names, specific locations, contact information, cuisine types, and customer ratings. This material is invaluable for analysts seeking to study trends in the restaurant industry, conduct competitive market analysis, or develop localized recommendation systems. The dataset offers a robust snapshot of the restaurant landscape derived from a widely-used business directory.
Columns
The dataset contains 11 columns based on 6,000 records, which are detailed in the sample file:
- Uniq Id: The unique ID for the listing (100% valid).
- Url: The specific page URL for the listing (100% valid).
- Name: The name of the restaurant. 'Dunkin' Donuts' (2%) and 'Subway' (1%) are among the most frequently occurring names (100% valid).
- Street: The street address of the restaurant (99.9% valid, missing 6 records).
- Zip Code: The postal code (99.9% valid, missing 1 record). The mean value is approximately 28.1k, with a standard deviation of 15.1k.
- City: The city location. Indianapolis (26%) and Miami (21%) are common entries (99.9% valid, missing 1 record).
- State: The state location. IN (26%) and FL (22%) are the most frequent states (99.9% valid, missing 1 record).
- Phone: The restaurant's telephone number (99.9% valid, missing 1 record).
- Email: The restaurant's email address. This field is only 32% valid, with 68% of records missing data.
- Website: The restaurant's website address (58% valid, 42% missing).
- Categories: A comma-delimited list of categories, such as 'Restaurants' (14%) or 'Pizza, Restaurants'. This field is 99.9% valid, missing 6 records.
Distribution
The material is provided in a sample CSV file named
yellowpages_com-restaurant_sample (1).csv, which is 1.62 MB in size. The dataset includes 6,000 records across 11 columns. Key identifier and location fields (Url, Name, Street, Zip Code, City, State, Phone) are nearly 100% complete, while communication fields like Email (32% valid) and Website (58% valid) show significant data gaps. The expected update frequency is Annually.Usage
This resource provides a robust foundation for projects studying the geographic distribution of food services, examining customer preferences, or developing location-based services. It is versatile for various analytical and development purposes, including competitive market analysis in the restaurant industry.
Coverage
The coverage includes 6,000 restaurant listings captured from Yellowpages.com. Geographic data spans various US locations, with a high concentration of listings noted in cities like Indianapolis and Miami and states such as Indiana (IN) and Florida (FL). The content focuses on core business and contact details, and self-reported categories.
License
CC BY-SA 4.0
Who Can Use It
The dataset is intended for analysts, researchers, and developers looking to analyze trends in the food service industry, examine customer preferences, or develop location-based recommendation systems. The material has a maximum usability rating of 10.00.
Dataset Name Suggestions
- Yellowpages Restaurant Listings Data
- US Restaurant Industry Trends Snapshot
- Local Business Directory Food Service Data
Attributes
Original Data Source: Yellowpages Restaurant Listings Data
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