Hotel Data Scraping Services for Real-Time Prices & Availability
Our hotel data scraping services collect room rates, availability, reviews, and amenities from Booking.com, Expedia, Agoda, Google Hotels, and direct hotel sites. From web scraping hotel prices to property listings, we deliver clean, structured data in CSV, JSON, or API on your schedule, so your revenue team can price smarter.
Get a Free Hotel Data Sample
Hotel Data Scraping That Helps You Win More Bookings
Guests compare prices before they book, and a few dollars’ difference decides where they stay. Our hotel data scraping gives your team a daily view of competitor room rates, availability, promotions, and review scores across Booking.com, Expedia, Agoda, Google Hotels, and direct hotel websites. You choose the properties, cities, and stay dates. We handle scraping hotel data at scale and deliver it clean, structured, and ready for your revenue system. Spot rate gaps early, respond to competitor drops, and price every room to win the booking.
Hotel Data Fields We Scrape
From scraping hotel prices and room availability to amenities, ratings, and guest reviews, we deliver structured hotel data from every major OTA and hotel website, ready to plug into your pricing and analytics tools.
{
"hotel_name": "Le Marais Boutique Hotel",
"star_rating": 4,
"city": "Paris",
"check_in": "2026-11-12",
"room_type": "Deluxe King",
"board": "breakfast",
"room_rate": 189.00,
"taxes_fees": 24.00,
"rooms_left": 2,
"free_cancellation": true,
"guest_score": 8.9,
"review_count": 2184,
"source": "OTA",
"scraped_at": "2026-10-27T09:00Z"
}
Property DetailsWho and where the hotel is
- Hotel Name
- Hotel URL
- Star Rating
- Brand / Chain
- Address
- Geo-Coordinates
- Check-in / Check-out
- Property Photos
Rooms & AvailabilityInventory by date
- Room Type
- Bed Type
- Occupancy
- Board Type
- Room Size
- Availability by Date
- Rooms Left
- Sold-Out Status
- Length-of-Stay Rules
Pricing & FeesEvery rate a guest sees
- Nightly Room Rate
- Total Stay Price
- Taxes & Fees
- Discount Price
- Member / Mobile Rates
- Resort Fees
- Currency
- Cancellation Policy
Reviews & RatingsGuest satisfaction
- Overall Score
- Review Count
- Cleanliness Score
- Location Score
- Staff Score
- Review Text
- Review Date
Amenities & PoliciesWhat the stay includes
- Wi-Fi
- Breakfast
- Parking
- Pool & Spa
- Gym
- Airport Shuttle
- Pet Policy
Listing & VisibilityWhere the hotel ranks
- OTA Ranking Position
- Sponsored vs Organic
- Deal & Genius Badges
- OTA / Booking Source
- Booking URL
- Scrape Timestamp
Need a field that isn't listed? We build custom scrapers around your exact data requirements.
Get in TouchWhat Our Hotel Data Scraping Services Cover
Whether you need daily rate checks across a competitive set or a full market dataset for an entire city, our hotel data scraping services are built around your properties, sources, and schedule. Here’s what we scrape.
Hotel Price Scraping
Hotel rates shift several times a day based on demand, events, and competitor moves, so last week’s numbers can’t guide today’s pricing. Our web scraping hotel prices service captures nightly rates, total stay prices, taxes, discounts, and member rates for any property, city, or stay date you choose. From single-hotel rate checks to large-scale hotel booking price scraping across entire markets, you get accurate pricing data ready for your revenue management system.
OTA Ranking & Visibility Tracking
Guests compare prices across several booking sites before they book, and your data should cover all of them. We extract hotel data from Booking.com, Expedia, Agoda, Hotels.com, Google Hotels, Trivago, and regional OTAs, then match each property across sources so you can compare like for like. Our approach to scraping hotel data handles dynamic pages, location-based pricing, and anti-bot systems, so your data arrives complete and on time.
Room Availability & Inventory Tracking
Knowing when competitors sell out is as valuable as knowing their price. We track room availability by date and room type, including sold-out nights, rooms-left counts, and minimum-stay restrictions, across the platforms you choose. This shows you where demand is building before it peaks, so your team can adjust rates, open inventory, or launch promotions at exactly the right moment.
Hotel Review & Rating Scraping
Guest reviews influence bookings as much as price does. We scrape review scores, review text, category ratings for cleanliness, location, and staff, plus review volume from TripAdvisor, Google, and major OTAs. Structured review data shows what guests praise or complain about at your property and your competitors’, giving your operations and marketing teams clear, evidence-based priorities.
Rate Parity Monitoring
When OTAs undercut your direct rate, you lose margin on every booking that should have been yours. Our rate parity monitoring compares your direct website rates with OTA and metasearch prices for the same room and date, flagging every disparity. By scraping hotel prices across channels daily, we help you catch parity issues quickly, enforce distribution agreements, and protect your direct booking revenue.
Hotel Listings & Property Data Extraction
Building a hotel database, planning market entry, or analysing a destination needs complete property data, not just prices. Our hotel data scraping collects hotel names, star ratings, chains, addresses, coordinates, amenities, room types, and photos for any city, region, or country. The result is a clean, deduplicated property dataset that supports market research, investment analysis, travel platforms, and lead generation.
Get a Free Sample of Hotel Data for Your Market
Tell us your hotels, cities, and stay dates. We'll send real room rates, availability, and reviews so you can check the data quality before you commit.
| Booking.com | $189 |
| Expedia | $182 |
| Agoda | $176 |
| Google Hotels | $179 |
Hotel Booking Platforms We Scrape
From global OTAs and Google Hotels to regional booking sites and hotel brand websites, we collect rates, availability, and reviews wherever your guests compare prices.
Global OTAs 13
- Booking.com
- Expedia
- Hotels.com
- Agoda
- Trip.com
- Priceline
- Orbitz
- Travelocity
- Hotwire
- Hostelworld
- lastminute.com
- eDreams
- Hopper
Asia-Pacific & Middle East OTAs 12
- MakeMyTrip
- Goibibo
- Yatra
- Cleartrip
- EaseMyTrip
- OYO
- Traveloka
- Tiket.com
- Rakuten Travel
- Jalan
- Fliggy
- Almosafer
Europe, Americas & Oceania OTAs 5
- Opodo
- HRS
- Despegar
- Ostrovok
- Wotif
Metasearch & Price Comparison 7
- Google Hotels
- Trivago
- Kayak
- Skyscanner
- Momondo
- Wego
- Ixigo
Review Platforms 3
- Tripadvisor
- Google Reviews
- HolidayCheck
Hotel Brand Websites 10
- Marriott
- Hilton
- IHG
- Hyatt
- Accor
- Wyndham
- Choice Hotels
- Best Western
- Radisson
- Taj Hotels
Don't see your source? We build custom scrapers for any hotel website. Tell us what you need
Built for Hotels, OTAs, and Travel Businesses
Hotels & Resorts
Benchmark your room rates against your competitive set every day, spot when nearby properties sell out, and protect direct bookings by catching OTA undercutting early.
Revenue Managers
Feed accurate competitor rates, availability, and demand signals straight into your RMS or pricing models, so every rate decision is backed by current market data.
OTAs & Travel Agencies
Keep your hotel inventory, pricing, and content competitive across markets by tracking how other booking platforms price and position the same properties.
Hotel Groups & Chains
Monitor rates, rate parity, and guest ratings across your entire portfolio in one dataset, and compare each property against its local competition.
Investors & Consultants
Analyse average rates, supply, occupancy signals, and guest sentiment for any city or region before acquisitions, feasibility studies, or market entry.
Travel Tech & Startups
Power booking engines, price comparison tools, and analytics products with structured hotel data, delivered by API or scheduled feeds as you scale.
Hotel Data Delivered the Way Your Team Works
No new tools to learn and no messy files to clean. We deliver ready-to-use hotel data in the format, channel, and schedule that fit your existing workflow.
Your Preferred Format
Structured, consistent files that open straight in your spreadsheet, database, or analytics tool.
- CSV
- Excel
- JSON
- XML
Delivered Where You Work
Data lands directly in your systems, so your team never has to download, upload, or reformat anything.
- REST API
- Amazon S3
- Google Sheets
- SFTP
On Your Schedule
Refresh rates as often as your market moves, from live updates to a single historical dataset.
- Real-time
- Hourly
- Daily
- Weekly
- One-time
Quality-Checked Data
Every dataset is cleaned, validated, and matched before delivery, and we monitor sources for layout changes.
- Deduplication
- Property matching
- Validation
- Monitoring
From Your Requirements to Ready-to-Use Hotel Data
Our hotel data scraping process starts with your pricing and market goals and ends with clean, matched data delivered on schedule. Every step is built around hotel sources, so you get accurate rates and availability without managing a single scraper.
Define Your Requirements
Tell us your hotels, cities, booking platforms, stay dates, and the data fields you need.
01
Free Sample Dataset
We scrape a sample from your chosen sources so you can check accuracy before committing.
02
Custom Scraper Setup
We build scrapers that handle dynamic pricing, location-based rates, and anti-bot protection on each site.
03
Cleaning & Property Matching
Every record is validated, deduplicated, and matched to the same hotel across all platforms.
04
Scheduled Delivery
Your hotel data arrives in your format and channel, on time, with ongoing source monitoring included.
05
Why Choose Xwiz for Hotel Data Scraping
Choosing a data partner means trusting them with the numbers behind your pricing decisions. Here's why hotels, OTAs, and travel businesses rely on Xwiz for accurate, consistent hotel data.
Get in Touch99%+ Data Accuracy
Every dataset passes validation and anomaly checks before delivery. In our hotel rate parity project, post-validation accuracy reached 99.6%.
Hotel-Specific Expertise
We understand room types, board basis, length-of-stay pricing, and rate parity, so your data reflects how the hotel industry actually works.
Cross-Platform Property Matching
We match the same hotel and room type across every OTA and metasearch site, so your rate comparisons are always like for like.
Built to Handle Anti-Bot Systems
Rotating infrastructure and human-like request patterns keep data flowing reliably from even the most heavily protected booking sites.
Fully Managed, Zero Maintenance
We monitor every source and fix scrapers as soon as sites change, so your data feed never breaks and your team never has to step in.
Trusted by Clients Worldwide
Teams in India and Canada support hotel data projects across time zones, with a dedicated point of contact and fast, responsive communication.
Case Study
Trusted by Hotel and Travel Teams
How we've delivered hotel data at scale when demand was at its peak. Client names are kept confidential under NDA.
A US hotel business needed Expedia rates and availability across multiple markets during peak demand. We delivered high-volume, matched data daily, so their team priced from live competitor numbers.
A UAE travel company needed hotel prices and availability from MakeMyTrip and Goibibo during high booking demand. We built a high-volume feed and matched every property across both platforms into one clean dataset.
Frequently Asked Questions About Hotel Data Scraping
Find quick answers about how hotel data scraping works, which platforms we cover, data delivery, pricing, and legality. Still have a question? Our team is always happy to help you.
Hotel data scraping is the automated collection of publicly available hotel information, such as room rates, availability, reviews, and amenities, from OTAs, metasearch engines, and hotel websites. Xwiz cleans and structures this data so hotels, OTAs, and travel companies can use it for pricing, competitor analysis, and market research.
Scraping hotel data can capture hotel name, star rating, address, room type, nightly rate, taxes and fees, discounts, availability, rooms left, cancellation policy, amenities, guest ratings, and review text. Xwiz can also collect OTA ranking positions and promotions, delivered as structured fields for each hotel, room, and stay date.
Web scraping hotel prices gives revenue managers daily competitor rates for every stay date, so they can adjust pricing based on real market data instead of manual checks. Xwiz delivers rates, availability, and sell-out signals from Booking.com, Expedia, Agoda, and other channels directly into RMS or BI tools.
Yes. Xwiz’s Google Hotels scraping collects room rates, the OTAs and direct sites listed for each property, ratings, and availability by date and location. Because Google Hotels compares many booking sites on one page, scraping it shows how a hotel is priced across channels in a single view.
Scraping hotel prices works on OTAs like Booking.com, Expedia, Agoda, Hotels.com, Trip.com, and MakeMyTrip; metasearch sites like Google Hotels, Trivago, and Kayak; review sites like Tripadvisor; and hotel brand websites such as Marriott and Hilton. Xwiz covers 50+ platforms and builds custom scrapers for any other source.
Hotel booking price scraping is used for competitor rate tracking, rate parity monitoring, dynamic pricing, demand forecasting, and market research. Hotels use it to protect direct bookings, OTAs use it to stay price-competitive, and investors use it to analyse average rates and supply in a market before making decisions.
Yes. Xwiz provides hotel data scraping services in the USA for hotels, OTAs, and travel companies across every major US market, including New York, Las Vegas, Orlando, and Miami. US datasets include resort fees, taxes, and location-specific pricing, with the same coverage available in Europe, the UAE, India, and Asia-Pacific.
Hotel data scraping is generally considered legal when it collects only publicly available information, such as listed prices and published reviews, without accessing private accounts or personal data. Xwiz follows this approach and regulations like GDPR. Laws vary by country, so businesses should review their specific use case with legal counsel.
The cost of hotel data scraping services depends on the number of hotels and platforms, update frequency, and data fields required. Xwiz offers one-time datasets, recurring daily or hourly feeds, and API access, and provides a free sample dataset so you can check data quality before choosing a plan.
Scraped hotel data can be updated in real time, hourly, daily, or weekly, depending on how fast your market moves. Most Xwiz clients use daily updates for their competitive set and more frequent checks on high-demand dates, delivered in CSV, Excel, JSON, or via API.
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Tell Us What Data You Need
Share the websites or apps you need data from and what you want to collect. Our team will review your request and send a plan with a free sample dataset.