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USA Restaurant Ratings and Reviews
Product Reviews & Feedback
Tags and Keywords
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Free
About
This collection provides detailed restaurant information scraped from the TripAdvisor platform, specifically focusing on establishments across five key states in the USA. It offers valuable insights into dining experiences, including customer ratings and feedback, cuisine types, and essential location and contact details. The data is suitable for market analysis, sentiment tracking, and developing location-based recommendation systems.
Columns
The dataset includes several features and target variables:
- Name of the Restaurant: The formal name of the dining establishment.
- Street Address: The specific street address location.
- Location: Details including the city and corresponding ZIP code.
- Type: The various types of cuisines served, such as American, Vegetarian Friendly, or Italian.
- Contact Number: The restaurant's USA phone number. Note that some contact numbers are listed as 'Not Available'.
- Trip_advisor Url: The unique URL for the restaurant's page on TripAdvisor, useful for application deployment.
- Menu: The URL linking to the restaurant's menu, though a significant portion directs users to "Check The Website for a Menu."
- Reviews (Star ratings): The star rating given by customers, typically presented on a 5-bubble scale (e.g., 4.5 of 5 bubbles).
- No of Reviews: The total number of people who have rated the restaurant.
- Comments: Detailed customer reviews, providing qualitative feedback. Approximately 20% of these records are missing.
- Price_Range: The general range of cuisine prices, typically indicated by currency symbols (e.g., $$ - $$$ or $$$$).
Distribution
The information is generally structured for ease of use, typically presented in a standard flat file format like CSV. The dataset contains 3062 records. All listed features, such as Name of the Restaurant, Street Address, and Contact Number, are 100% valid, although certain elements like customer reviews have missing values.
Usage
Ideal applications for this data include:
- Developing machine learning models to predict restaurant success or customer satisfaction based on location and cuisine.
- Geospatial analysis to identify clusters of highly rated restaurants within the 20 covered cities.
- Sentiment analysis based on the qualitative customer review comments.
- Building recommendation or travel planning applications that integrate restaurant data.
Coverage
The data focuses exclusively on the United States of America. Geographic coverage spans 20 cities across 5 major states: Washington, Texas, New York, New Jersey, and California. Temporal coverage is implicit based on the time the data was scraped from TripAdvisor. Users should note that 20% of the customer review comments are not available in the current records.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For training recommendation algorithms and conducting predictive modeling.
- Market Researchers: To study consumer trends and preferences in the US food service industry.
- App Developers: To integrate up-to-date restaurant information into travel or dining applications.
- Hospitality Businesses: Restaurant owners can use the competitive intelligence for market positioning.
Dataset Name Suggestions
- USA Restaurant Ratings and Reviews
- TripAdvisor Dining Data (US Cities)
- US Multi-State Restaurant Recommendations
- Verified TripAdvisor Restaurant Insights
Attributes
Original Data Source: USA Restaurant Ratings and Reviews
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