Real-Time Travel Fare Datasets

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

2. 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

3. 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: Refund able Scrape Time From To Airline Fare Class Date 2025-06- 10 2:00 PM EST JFK DXB Emirates $920 Economy Yes 2025-06- 11 2:05 PM EST LAX ORD Delta $370 Economy No Hotel Pricing Dataset – Dubai, Abu Dhabi, New York, Las Vegas Sources Covered: Booking.com, Agoda, MakeMyTrip, Airbnb, Expedia, Marriott, Hilton, Hotels.com

4. What’s Included: Attribute Attribute Description Description Route (From – To) Hotel Name JFK → LAX, DXB → LHR Hilton, Burj Al Arab, etc. Airline Name City Emirates, United, etc. Dubai, NYC, etc. Travel Dates Room Type Departure, Return Deluxe, Suite, Studio Fare Price Price Per Night Real-time ticket price With/without tax Fare Type Occupancy Details Economy, Business, Premium Economy 2 Adults, 1 Child Baggage Info Availability Included bags, charges In Stock / Sold Out Refundability Ratings Refundable / Non-Refundable Stars + User Score Last Scraped Cancellation Timestamp (hourly/daily) Free / Partial / No Cancellation Sample Data: Room Type Price (USD) Availa bility Refunda ble Scrape Time Hotel City Rating Burj Al Arab Availabl e 2:00 PM EST Dubai Suite $1,990 4.8 Yes Marriott Times Sq 2:05 PM EST NYC Deluxe $420 4.3 Sold Out No

5. OTA Fare Dataset – Multi-Platform Aggregation We scrape fares from popular OTAs such as: •Booking.com •Agoda •MakeMyTrip •Expedia •Kayak •Hopper •Cleartrip •Goibibo

6. 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 We scrape fares from popular OTAs such as: •Booking.com •Agoda •MakeMyTrip •Expedia •Kayak •Hopper •Cleartrip •Goibibo

7. 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

8. 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

9. How to Get Started with ArcTechnolabs Travel Fare Datasets 1. Request a Sample File (API or CSV) 2. Choose a Plan: Daily, Weekly, Real-Time 3. Customize by Platform, City, or Category 4. 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.