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