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TravelWeb scrape flight itineraries, hotel bookings, car rentals, and more
Starting at
$241.00
$241.00
Daily‑refreshed • API / CSV readyTravel 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.
Top Countries:
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Why Choose Our Travel Datasets?
Comprehensive Coverage
Includes flights, hotels, packages, and destination insights.
Real-Time Updates
Data refreshed frequently for accurate travel analysis.
Trusted Sources
Extracted from Expedia, Booking.com, MakeMyTrip, TripAdvisor.
Actionable Insights
Enables smarter decisions for travel planning and pricing.
Customizable Fields
Tailor datasets with price, dates, bookings, destinations.
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.
View DatasetBooking.com Flight & Hotel Dataset
Destination, Check-in/Check-out, Room Type, Price
Categories: Hotels, Flight Deals, Family Packages.
View DatasetAgoda Flight & Hotel Dataset
Destination, Travel Dates, Hotel Amenities, Price
Categories: Hotels, Flights, Holiday Packages.
View DatasetTrivago Hotel Dataset
Destination, Check-in/Check-out, Hotel Star Rating, Guest Reviews
Categories: Hotels, Resorts, Hostels.
View DatasetMakeMyTrip (MMT) Flight & Hotel Dataset
Destination, Departure/Return Dates, Airline, Price
Categories: Flights, Hotels, Combo Packages.
View DatasetSkyscanner Flight & Hotel Dataset
Destination, Travel Dates, Price, Supplier
Categories: Flights, Hotels, Car Rentals.
View Dataset
Search & Filters
Featured Datasets
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
| Name | City or country visited | Departure Date | Trip start date | Return Date | Trip end date | Flight Number | Airline Name | Hotel Name | Room Type | Booking Date | Price | Discount | Booking Source | Travel Class | Passenger Count | Trip Duration |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Arun Mehta | Dubai, UAE | 2/10/2025 | 2/10/2025 | 2/15/2025 | 2/15/2025 | EK203 | Emirates | Burj View Hotel | Double | 1/5/2025 | $1,850 | 10% | MakeMyTrip | Economy | 2 | 5 Days |
| Sarah Johnson | Paris, France | 3/18/2025 | 3/18/2025 | 3/25/2025 | 3/25/2025 | AF007 | Air France | Hotel Le Marais | Suite | 2/1/2025 | $2,650 | 15% | Booking.com | Business | 2 | 7 Days |
Use Cases
Price Analysis
Monitor travel costs across multiple booking platforms.
Demand Forecasting
Predict future bookings for popular destinations accurately.
Trend Identification
Identify emerging travel patterns and seasonal preferences.
Competitor Monitoring
Track competitor pricing and promotional strategies efficiently.
Inventory Optimization
Optimize hotel rooms and flight seat availability.
Customer 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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