Real-Time Travel Fare Datasets: Airlines, Hotels & OTAs

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Real-Time-Travel-Fare-Datasets-Airlines,-Hotels,-and-OTAs-in-the-USA &-UAE-01.webp

Introduction

In 2025, dynamic pricing has become the cornerstone of travel industry growth. From fluctuating airfares to limited hotel availability, travel businesses must constantly track and respond to real-time market changes. However, staying updated across global platforms like Booking.com, Emirates, Expedia, and Airbnb can be overwhelming without automation.

That’s where ArcTechnolabs steps in.

We specialize in pre-scraped, real-time fare datasets across the USA and UAE, tailored for the Travel & Hospitality industry. Whether you're building a fare aggregator, launching a hotel price comparison app, or optimizing dynamic pricing for airlines—our ready-to-use datasets put you ahead.

Why the USA & UAE?

Why-the-USA-&-UAE-01.webp

Both regions represent high-demand and high-volume travel markets.

  • USA: World’s largest OTA and hotel market, with volatile fare trends across New York, LA, and San Francisco.
  • UAE: A global transit hub with fast-growing tourism in Dubai and Abu Dhabi.

By scraping and enriching fare data from top travel portals in these countries, ArcTechnolabs delivers actionable intelligence across flights, accommodations, and travel packages.

Airline Fare Dataset – USA & UAE

Sources Covered: Delta, Emirates, American Airlines, Etihad, United, Qatar Airways, Expedia, Skyscanner, Google Flights

What’s Included:

Attribute Description
Route (From – To) JFK → LAX, DXB → LHR
Airline Name Emirates, United, etc.
Travel Dates Departure, Return
Fare Price Real-time ticket price
Fare Type Economy, Business, Premium Economy
Baggage Info Included bags, charges
Refundability Refundable / Non-Refundable
Last Scraped Timestamp (hourly/daily)

Sample Data:

From To Airline Fare Class Date Refundable Scrape Time
JFK DXB Emirates $920 Economy 2025-06-10 Yes 2:00 PM EST
LAX ORD Delta $370 Economy 2025-06-11 No 2:05 PM EST

Hotel Pricing Dataset – Dubai, Abu Dhabi, New York, Las Vegas

Sources Covered: Booking.com, Agoda, MakeMyTrip, Airbnb, Expedia, Marriott, Hilton, Hotels.com

What’s Included:

Attribute Description
Hotel Name Hilton, Burj Al Arab, etc.
City Dubai, NYC, etc.
Room Type Deluxe, Suite, Studio
Price Per Night With/without tax
Occupancy Details 2 Adults, 1 Child
Availability In Stock / Sold Out
Ratings Stars + User Score
Cancellation Free / Partial / No Cancellation

Sample Data:

Hotel City Room Type Price (USD) Rating Availability
Burj Al Arab Dubai Suite $1,990 4.8 Available
Marriott Times Sq NYC Deluxe $420 4.3 Sold Out

OTA Fare Dataset – Multi-Platform Aggregation

OTA-Fare-Dataset –-Multi-Platform-Aggregation-01

We scrape fares from popular OTAs such as:

  • Booking.com
  • Agoda
  • MakeMyTrip
  • Expedia
  • Kayak
  • Hopper
  • Cleartrip
  • Goibibo

Key Features:

Attribute Description
Platform Name Expedia, Booking, etc.
Hotel/Airline Listing Unified listing from multiple providers
Fare Delta Fare differences by provider
Room/Fare Type Standard, Non-refundable, Promo
Link for Redirection Direct booking link
Platform Fee Tracking Booking fees, cleaning charges (Airbnb)

Use Cases for Travel & Hospitality Businesses

Use-Cases-for-Travel-&-Hospitality-Businesses-01

1. Dynamic Pricing for Travel Agencies

Compare fares hourly to adjust commission-based pricing for tours or bundles.

2. Fare Aggregator Development

Use real-time datasets to build or enhance apps comparing flights/hotels across platforms.

3. Revenue Management for Airlines/Hotels

Monitor competitor fare changes to revise pricing dynamically based on seat availability, season, or city demand.

4. Market Research & Fare Trend Analytics

Analyze average fare fluctuations by route, city, season, or property category.

5. AI-Driven Booking Assistants

Power smart chatbots or virtual agents with real-time pricing logic.

How Frequently Are Datasets Updated?

Dataset Type Update Frequency
Airline Fares Hourly via API
Hotel Pricing Every 6 hours or nightly
OTA Aggregates Daily or on demand

We also offer:

  • Daily CSV/Excel reports
  • Real-time API streaming (JSON)
  • Historical trend datasets (up to 180 days)

How ArcTechnolabs Ensures Accuracy

  • Scraping through headless browsers & IP rotation
  • Price verification from multiple platforms
  • Timestamp-based price validation
  • Duplicate filtering & price correction algorithms
  • GDPR-compliant and legally safe scraping practices

Customization Options

Custom Parameter Examples
Region USA only, UAE only, multi-country
Class Type Only Business Class fares
Brands Marriott only, Hilton only
OTA Scope Expedia vs Booking only
Price Bracket < $500 / 3-Star Hotels only
Language & Currency USD / AED / EUR

City Coverage for 2025

USA (Top Cities) UAE (Top Cities)
New York, Los Angeles Dubai, Abu Dhabi
San Francisco, Chicago Sharjah
Las Vegas, Miami Al Ain

How to Get Started with ArcTechnolabs Travel Fare Datasets

  • Request a Sample File (API or CSV)
  • Choose a Plan: Daily, Weekly, Real-Time
  • Customize by Platform, City, or Category
  • Integrate via API or Download Excel Reports

Visit ArcTechnolabs.com or contact our data solutions team for a free demo!

Conclusion

In a post-pandemic world where flexibility and speed drive travel decisions, real-time fare intelligence is a must-have. With ArcTechnolabs’ pre-scraped datasets for airlines, hotels, and OTAs in the USA and UAE, your team can act faster, price smarter, and build better booking experiences.

Let us help you build the future of travel pricing—today.

Read More >> https://www.arctechnolabs.com/real-time-travel-fare-dataset-usa-uae.php

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