MakeYourTrip:
Your Real-World
Travel Booking
Data Playground
MakeYourTrip is a ready-to-use synthetic dataset that mimics the experience of a modern travel booking platform. Ideal for recommendation systems, price prediction, demand forecasting, and customer behavior analysis.
Overview
MakeYourTrip is a thoughtfully designed synthetic dataset that captures the essence of a modern travel booking platform. From flights and hotels to customer preferences and payment flows, it offers everything you need to explore how users interact with travel services. Ideal for data scientists, developers, and analysts, it helps you dive into user behavior, uncover booking patterns, and test recommendation engines or backend booking workflows — all without dealing with real user data or privacy concerns.
The dataset features detailed records on users, trips, bookings, reviews, payments, and even cancellations and discounts. It's perfect for building smart pricing models, segmenting travelers, or forecasting demand across seasons and locations. Whether you're prepping for interviews, simulating booking systems, or fine-tuning your data skills, MakeYourTrip gives you a complete, realistic environment to work with.
Full Travel Booking Lifecycle
Simulates a complete travel platform experience, including flights, hotel bookings, tour packages, payment flows, customer feedback, and cancellations.
Built for Development & Testing
Excellent for building and testing travel recommendation engines, smart pricing models, demand forecasting systems, and booking funnel optimization pipelines.
Backend System Testing
Useful for developers working on booking management, payment processing, customer support workflows, and logistics integration.
Rich Booking Transaction Data
Supports use cases in consumer behavior analysis, seasonal booking trend tracking, influencer impact studies, and marketing funnel optimization.
Analytics & Research
Suitable for SQL practice, data transformations, ETL workflows, A/B testing simulations, and time-series analysis in the travel industry space.
How it Works
AI-Generated & Fully Synthetic
The MakeYourTrip dataset was generated to reflect the operations of an end-to-end travel and booking platform. AI-driven models were used to simulate realistic user journeys, seasonal trends, booking behaviors, and availability logic — with zero real user or trip data.
Realistic Simulation with Privacy
It simulates flight reservations, hotel bookings, vacation packages, payment records, and user reviews — without any real transactions or consumer data, ensuring ethical use across all travel platform applications.
High-Quality & Safe for Use
Built for developers and analysts to test travel tech systems, itinerary builders, booking engines, and user engagement tools — 100% privacy-compliant and ready to use.
Dataset Schema
A comprehensive relational model representing a modern travel booking platform engineered for deep analysis and complex querying.
Users
Stores user details such as username, email, phone number, role (customer, admin, agent), and timestamps for account creation and updates.
Flights
Contains information about available flights, including flight number, airline, departure/arrival cities, times, available seats, and price.
Hotels
Stores hotel details such as name, location, available rooms, price per night, amenities (e.g., pool, wifi), and rating.
Tours
Contains information about tours, including tour name, destination, dates, available slots, price, and description.
Bookings
Records booking information, including the user ID, booking type (flight, hotel, or tour), booking date, status, and total amount.
Flight Bookings
Details bookings specific to flights, linking to the bookings table and storing the number of passengers and total price.
Hotel Bookings
Stores bookings specific to hotels, including the number of rooms, check-in/check-out dates, and total price for hotel bookings.
Reviews
Allows users to submit reviews on their bookings, including ratings (1-5) and text feedback for flights, hotels, and tours.
Discounts
Defines discount codes, including the discount percentage and valid date range, which can be applied to bookings.
Notifications
Records notifications sent to users about bookings, payment statuses, offers, or other relevant messages. Tracks read/unread status.
- CSV
- JSON
- Excel
- MySQL
- PostgreSQL
- SQL Server
- Snowflake