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Travel Dataset – Price, Booking, Dates, Destinations

Our Travel Dataset captures key fields including Price, Booking, Dates, and Destinations. Designed for analytics, it integrates insights from top platforms like Expedia, Booking.com, MakeMyTrip, TripAdvisor, Airbnb, supporting Tourism Dataset and Traveller Trip Dataset analyses.

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Why Choose Our Travel Datasets?

Discovery & Setup

Comprehensive Coverage

Includes flights, hotels, packages, and destination insights.

Discovery & Setup

Real-Time Updates

Data refreshed frequently for accurate travel analysis.

Discovery & Setup

Trusted Sources

Extracted from Expedia, Booking.com, MakeMyTrip, TripAdvisor.

Discovery & Setup

Actionable Insights

Enables smarter decisions for travel planning and pricing.

Discovery & Setup

Customizable Fields

Tailor datasets with price, dates, bookings, destinations.

Discovery & Setup

Easy Integration

Compatible with analytics, dashboards, and machine learning tools.

By city, destination, trip type, or region.

Expedia Flight & Hotel Dataset

Destination, Flight Duration, Hotel Rating, Price

Categories: Flights, Hotels, Vacation Packages.

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Booking.com Flight & Hotel Dataset

Destination, Check-in/Check-out, Room Type, Price

Categories: Hotels, Flight Deals, Family Packages.

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Agoda Flight & Hotel Dataset

Destination, Travel Dates, Hotel Amenities, Price

Categories: Hotels, Flights, Holiday Packages.

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Trivago Hotel Dataset

Destination, Check-in/Check-out, Hotel Star Rating, Guest Reviews

Categories: Hotels, Resorts, Hostels.

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MakeMyTrip (MMT) Flight & Hotel Dataset

Destination, Departure/Return Dates, Airline, Price

Categories: Flights, Hotels, Combo Packages.

View Dataset

Skyscanner Flight & Hotel Dataset

Destination, Travel Dates, Price, Supplier

Categories: Flights, Hotels, Car Rentals.

View Dataset

Schema & Data Dictionary

Core fields and normalization approach.

Core Fields

Destination Name

City or country visited

Departure Date

Trip start date

Return Date

Trip end date

Flight Number

Airline flight identifier

Airline Name

Operating airline company

Hotel Name

Accommodation provider

Room Type

Single, double, suite

Booking Date

Date reservation made

Price

Total trip cost

Discount

Applied promotional reduction

Booking Source

Platform used for booking

Travel Class

Economy, business, first

Passenger Count

Number of travelers booked

Trip Duration

Total days of travel

Normalization

  • Standardized cuisine categories.
  • item mapping.
  • delivery zones.

Sample Data Preview

NameCity or country visitedDeparture DateTrip start dateReturn DateTrip end dateFlight NumberAirline NameHotel NameRoom TypeBooking DatePriceDiscountBooking SourceTravel ClassPassenger CountTrip Duration
Arun MehtaDubai, UAE2/10/20252/10/20252/15/20252/15/2025EK203EmiratesBurj View HotelDouble1/5/2025$1,850 10%MakeMyTripEconomy25 Days
Sarah JohnsonParis, France3/18/20253/18/20253/25/20253/25/2025AF007Air FranceHotel Le MaraisSuite2/1/2025$2,650 15%Booking.comBusiness27 Days

Use Cases

Scalable InfrastructurePrice Analysis

Monitor travel costs across multiple booking platforms.

Scalable InfrastructureDemand Forecasting

Predict future bookings for popular destinations accurately.

Scalable InfrastructureTrend Identification

Identify emerging travel patterns and seasonal preferences.

Scalable InfrastructureCompetitor Monitoring

Track competitor pricing and promotional strategies efficiently.

Scalable InfrastructureInventory Optimization

Optimize hotel rooms and flight seat availability.

Scalable InfrastructureCustomer Insights

Understand traveler preferences for personalized offerings.

Benefits Recap

Daily Restaurant-Level Updates

Multi-Platform, Multi-Country Coverage

API & BI-Ready Formats

Millions Of Records Scalable

Enterprise SLA & Compliance

Advanced Analytics Integration

Frequently Asked Questions

A Travel Dataset contains structured information on destinations, prices, bookings, flights, and hotels, helping analysts understand travel behavior, seasonal demand, and platform-specific trends for decision-making.
A Tourism Dataset helps identify top destinations, pricing fluctuations, traveler patterns, and emerging tourism hotspots, supporting travel companies in planning marketing campaigns and improving customer engagement.
A Traveller Trip Dataset typically includes travel dates, booking sources, passenger details, trip duration, and expenditure insights, enabling refined segmentation and personalized travel recommendations.
A Flight and Hotel Dataset includes fares, room rates, availability, carriers, property details, and booking timelines, essential for benchmarking, competitive mapping, and dynamic travel pricing strategies.
Travel business intelligence data enhances forecasting accuracy, reveals price patterns, supports competitor tracking, and improves operational efficiency by offering actionable insights derived from large-scale travel datasets.
Travel API data enables automated access to real-time prices, availability, schedules, and hotel listings from multiple sources, benefiting booking engines and analytics platforms.
Travel and Tourism Datasets help organizations understand global travel demand, competitor trends, booking methods, and consumer preferences, assisting in optimising packages and marketing strategies.
Travel Data Scraping collects live or historical travel information from booking platforms, aggregators, and airline sites, delivering structured datasets for pricing intelligence, trend discovery, and forecasting.
Yes, these datasets help companies adjust pricing according to demand, competitor behavior, market seasonality, and customer booking patterns, improving revenue outcomes.
Yes, all travel datasets seamlessly integrate with BI tools, enabling automated updates, interactive insights, and full analytics coverage for pricing, demand forecasting, and competitive benchmarking.
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Trusted by Global Leaders Across Q-Commerce, Travel, Retail, and FoodTech

Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.

4,000+ Enterprises Worldwide
50+ Countries Served
20+ Industries
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Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.

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Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
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Serving startups to Fortune 500 companies across 50+ countries worldwide.
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Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
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