TripAdvisor Restaurant Reviews

Description

This dataset contains restaurant reviews from TripAdvisor for five European cities, capturing detailed information on users, restaurants (items), and reviews. It offers a comprehensive view of user experiences, opinions, and restaurant attributes.

Data Structure

User Information

• userId: Unique identifier for each user (hashed).
• name: Display name or username.
• location: User's location (city and country).

Restaurant Information (Items)

• itemId: Unique identifier for each restaurant.
• name: Restaurant name.
• city: City where the restaurant is located.
• priceInterval: Price range.
• url: Link to the restaurant’s TripAdvisor review page.
• rating: Average rating score for the restaurant.
• type: List of cuisine types (e.g., [Spanish, Mediterranean]).

Review Information

• reviewId: Unique identifier for each review.
• userId: Corresponding user who wrote the review.
• itemId: Restaurant associated with the review.
• title: Title of the review summarizing the user’s impression.
• text: Full text of the review describing the user’s experience.
• date: Date when the review was posted.
• rating: Numerical score (typically from 0 to 50, where 50 represents the highest satisfaction).
• language: Language of the review.
• images: List of URLs pointing to images uploaded by the user (if available).
• url: Link to the full review on TripAdvisor.

Code example

import pandas as pd

city = "Barcelona"
# Load restaurants
items = pd.read_pickle(f"{city}/items.pkl")
# Load users
users = pd.read_pickle(f"{city}/users.pkl")
# Load reviews
reviews = pd.read_pickle(f"{city}/reviews.pkl")