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Gastronomy Europe Dataset
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset features over 1 million restaurants scraped from TripAdvisor, a highly popular travel website renowned for its extensive data on dining establishments. It provides detailed information on restaurants across main European countries, including their locations, user ratings and reviews, opening hours, cuisine types, and awards. The dataset's purpose is to offer valuable insights into the characteristics that contribute to a restaurant's success and user appreciation.
Columns
- restaurant_link: A unique link to the restaurant's page on TripAdvisor.
- restaurant_name: The name of the restaurant as displayed on TripAdvisor.
- original_location: The full geographical path of the restaurant's location (e.g., ["Europe", "United Kingdom (UK)", "England", "London"]).
- country: The country name derived from the original_location.
- region: The region name derived from the original_location.
- province: The province name derived from the original_location.
- city: The city name derived from the original_location.
- address: The physical address of the restaurant shown on TripAdvisor.
- latitude: The latitude coordinate of the restaurant's location.
- longitude: The longitude coordinate of the restaurant's location.
- claimed: Indicates whether the restaurant's business profile has been claimed on TripAdvisor (e.g., "Claimed" or "Unclaimed").
- awards: Names of awards the restaurant has received (e.g., "Travellers' Choice", "Certificate of Excellence 2020").
- popularity_detailed: A detailed ranking indicating the restaurant's popularity within a specific area (e.g., "#7616 of 8661 Restaurants in Barcelona").
- popularity_generic: A generic ranking among all places to eat in the area (e.g., "#1 of 1 places to eat in Agios Ioannis").
- top_tags: Common descriptive tags associated with the restaurant (e.g., "Mid-range, French").
- price_level: The general price level of the restaurant, typically using currency symbols (e.g., "€€-€€€"). The currency is Euro (€) as data was scraped from tripadvisor.ie.
- price_range: The estimated price range in Euro, though ranges displayed on TripAdvisor are noted as potentially unreliable.
- meals: Types of meals served (e.g., "Lunch, Dinner").
- cuisines: Types of cuisine offered (e.g., "Italian").
- special_diets: Options for special dietary needs (e.g., "Vegetarian Friendly").
- features: Various features of the restaurant (e.g., "Reservations").
- vegetarian_friendly: A boolean indicating if the restaurant offers vegetarian-friendly options (true/false).
- vegan_options: A boolean indicating if the restaurant offers vegan options (true/false).
- gluten_free: A boolean indicating if the restaurant offers gluten-free options (true/false).
- original_open_hours: The raw opening hours data as presented on TripAdvisor.
- open_days_per_week: The calculated number of days the restaurant is open each week.
- open_hours_per_week: The calculated total number of hours the restaurant is open per week.
- working_shifts_per_week: The number of distinct working shifts per week.
- avg_rating: The overall average user rating for the restaurant (on a scale of 1 to 5).
- total_reviews_count: The total number of user reviews the restaurant has received.
- default_language: The default language displayed when the data was scraped (e.g., "English" or "All languages").
- reviews_count_in_default_language: The total count of reviews in the default language.
- excellent: The count of "excellent" reviews in the default language.
- very_good: The count of "very good" reviews in the default language.
- average: The count of "average" reviews in the default language.
- poor: The count of "poor" reviews in the default language.
- terrible: The count of "terrible" reviews in the default language.
- food: The specific user rating for the restaurant's food quality.
- service: The specific user rating for the restaurant's service quality.
- value: The specific user rating for the restaurant's value for money.
- atmosphere: The specific user rating for the restaurant's atmosphere.
- keywords: Popular keywords associated with the restaurant's offerings (e.g., "steak, onion loaf").
Distribution
The dataset is provided as a CSV file named
tripadvisor_european_restaurants.csv. It has a size of 679.68 MB and contains 1,083,397 records, each detailing a unique restaurant. There are 42 columns of restaurant attributes.Usage
This dataset is ideal for:
- Restaurant analysis: Understanding what makes European restaurants successful and highly rated by users.
- Geographical comparisons: Comparing common features of restaurants across different European countries based on average ratings, awards, opening hours, and review counts.
- Market research: Identifying trends in cuisine types, price levels, and special dietary offerings.
- Location intelligence: Analysing restaurant distribution and popularity based on latitude and longitude coordinates.
- Sentiment analysis: Exploring user reviews to gain deeper insights into customer experiences.
Coverage
The dataset focuses on restaurants located in the main European countries. All data was scraped in early May 2021. It encompasses a wide range of restaurant attributes, including geographical data down to city and address levels, and various operational and review-based metrics.
License
CC0: Public Domain
Who Can Use It
- Data analysts and scientists looking to perform in-depth studies on the food service industry.
- Researchers interested in tourism, hospitality, or consumer behaviour in Europe.
- Businesses seeking market insights for expansion or competitive analysis within the European restaurant sector.
- Developers building applications that require extensive restaurant data, such as recommendation engines or travel planning tools.
Dataset Name Suggestions
- European Restaurant Insights 2021
- TripAdvisor EU Dining Data
- EuroPlate: European Restaurant Profiles
- Continental Cuisine Collective
- Gastronomy Europe Dataset
Attributes
Original Data Source: Gastronomy Europe Dataset
QUALITY