Extract hotel rates, flight availability, vacation rental prices, tour packages, cruise data, and destination intelligence from Booking.com, Expedia, Airbnb, MakeMyTrip, Agoda, and 40+ travel platforms — in real time.
Travel data scraping is the automated collection of pricing, availability, and descriptive data from online travel agencies (OTAs), airline websites, hotel portals, and destination platforms. The travel industry is one of the most data-intensive sectors — hotel prices change by the hour, flight fares fluctuate dynamically, and availability windows are razor-thin. Manual monitoring is completely impractical at scale.
OTAs and travel platforms deploy sophisticated anti-scraping infrastructure: rate limiting, session-based availability checks, dynamic JavaScript rendering, CAPTCHA walls, and user-agent analysis. DataFlirt's travel scraping services are specifically engineered to handle these challenges — delivering accurate, real-time data at the scale travel businesses require without interruption.
Whether you're building a travel metasearch engine, a dynamic pricing tool, a competitor analysis dashboard, or an AI travel assistant, we provide the data foundation. From single-platform hotel rate monitors to multi-OTA pipelines covering flights, rentals, and tour packages simultaneously — we scope and deliver.
Comprehensive extraction built for reliability, accuracy, and scale.
Extract hotel availability, room types, pricing per night, amenities, star ratings, check-in/out policies, images, contact details, and guest reviews from all major booking platforms.
Scrape flight availability, fares across cabin classes, schedules, airline offers, baggage policies, seat availability, codeshare details, and ancillary pricing from airlines and aggregators.
Collect cabin, villa, condo, hostel, homestay, and apartment rental data including pricing, availability calendars, house rules, host ratings, minimum stay requirements, and amenity lists.
Scrape car availability by make, model, type, mileage, rental pricing, pickup/drop-off locations, cancellation policies, insurance options, and car ratings across rental providers globally.
Extract full tour package details — highlights, accommodation type, meals, activities, day-by-day itinerary, duration, group sizes, available departure dates, pricing, and cancellation policies.
Scrape cruise operators, ship details, ports of call, departure dates, cabin types, onboard facilities, pricing tiers, shore excursion options, and promotional fares.
Aggregate hotels, rentals, tourist attractions, restaurants, cultural sites, activities, climate data, currency, languages, visa information, and travel reviews for any destination worldwide.
Collect concerts, festivals, sports events, workshops, and local activities data including venues, dates, ticket pricing, booking information, and attendance-based reviews.
Extract guest reviews, star ratings, management responses, reviewer profiles, and sentiment signals across hotels, hostels, resorts, and vacation rentals at scale.
Every field you need, structured and ready to use downstream.
A proven process that turns any source into clean structured data — reliably.
{ "status": "success", "platform": "booking_com", "scraped_at": "2025-03-18T06:30:00Z", "hotel": { "id": "bkg_property_2401998", "name": "ITC Windsor, Bengaluru", "stars": 5, "rating": 8.7, "reviews": 3241, "room": { "type": "Deluxe King", "check_in": "2025-04-10", "check_out": "2025-04-13", "price_per_night": 12400, "total_price": 37200, "currency": "INR", "available": true, "breakfast": "Included", "cancellation": "Free until Apr 8" } } }
Built on proven open-source tools and cloud infrastructure — no vendor lock-in.
Sub-minute price refresh cycles for flight and hotel rate monitoring — critical for metasearch and dynamic pricing applications.
Playwright handles dynamic date pickers, calendar widgets, search result loading, and OTA-specific UI interactions.
Region-specific proxy pools to access geo-restricted pricing and availability — essential when OTAs serve different rates by location.
Automated CAPTCHA solving and human-mimicry techniques for high-security OTAs like Booking.com and Expedia.
Historical price tracking with timestamped records enables trend analysis, demand forecasting, and yield optimisation.
CSV, JSON, direct DB push, AWS S3, Google BigQuery, or real-time API endpoints — data lands where you need it.
From solo analysts to enterprise data teams — here's how organizations use this data.
A hotel rate that's 20 minutes stale can mean a customer books with a competitor. A flight price that's 6 hours old loses revenue. The travel industry moves faster than almost any other sector, and the data infrastructure powering competitive decisions needs to move with it. DataFlirt's travel scrapers are built for exactly this environment — real-time, resilient, and covering every OTA that matters to your business.
Start free and scale as your data needs grow.
For small teams and projects getting started with data.
For growing teams with serious data requirements.
For large organizations with custom requirements.
Everything you need to know before getting started.
Join data teams worldwide using DataFlirt to power products, research, and operations with reliable, structured web data.
