From boutique stays in Amsterdam to beachfront resorts in Bali, Hotels.com lists thousands of accommodations across the globe - and ScrapeIt turns this sprawl into structured hospitality data. We extract listing information directly from Hotels.com, filter it by your criteria, and deliver it in a clean, ready-to-use format tailored for travel platforms, analysts, or service providers.
Rather than scraping everything blindly, we tailor each extraction from Hotels.com to your needs - whether that’s based on destination, travel dates, property types, or promo tags. ScrapeIt parses the listing structure, maps variable pricing and room types, and compiles the data into structured formats. We handle pagination, dynamic content, and multilingual fields behind the scenes - so what you get is focused, filtered, and aligned with your project scope.
Using our Hotels.com scraper, ScrapeIt captures granular property data from every listing - including nightly rates, total stay cost (with taxes), hotel name, room type, star rating, and guest reviews. We also extract check-in/check-out availability, amenity highlights (like breakfast, parking, or spa), cancellation policies, and precise map coordinates. Each record includes full descriptions, property category, and brand/operator details - perfect for feeding into travel apps, analytics tools, or price comparison engines.
Hotels.com listings often feature urgency tags like “Only 2 rooms left” or “Booked 5 times today” - and our Hotels.com scraper at ScrapeIt makes sure you don’t miss them. We extract visual badges, price drop indicators, strike-through pricing, and exclusive offer labels that hint at demand patterns. By capturing these booking signals, you can analyze traveler behavior, detect flash sales, monitor inventory pressure, and adjust pricing or inventory strategies accordingly.
Whether you’re booking a luxury suite in Paris or a guesthouse in Chiang Mai, Hotels.com makes it easy to find accommodations that match your budget, taste, and schedule. As a core brand within the Expedia Group, it supports millions of bookings across 200+ countries and remains one of the most widely used hotel platforms in the world.
The site adapts to regional needs with localized versions like hotels.co.uk (UK), hotels.fr (France), hotels.ca (Canada), and hotels.com.au (Australia). Each version shows real-time pricing in local currency and reflects language preferences - ideal for both casual travelers and international businesses.
What really sets it apart is the “Reward Nights” program, letting users earn a free night after every 10 stays - no blackout dates, no gimmicks. Deals like “Tonight’s Local Deals” and hidden “Secret Prices” are especially popular with last-minute bookers and deal hunters.
From the mobile app, travelers can manage everything on the go: browse listings by map, check verified reviews, sync trips across devices, and apply filters for green-certified properties, step-free access, or flexible cancellation.
Hotels.com isn’t just a booking engine - it’s a global toolkit for finding, comparing, and reserving places to stay, whether you’re traveling solo, with family, or organizing accommodations for an entire team.
Get a Quote
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Hotels.com isn't just a booking site - it's a real-time reflection of global travel demand, pricing strategy, and lodging availability. Using a Hotels.com web scraper, you can extract structured data to track how hotel rates shift by region, identify promotional trends, compare brand positioning, or benchmark review performance across categories. Whether you're running a metasearch engine, optimizing revenue for a hotel chain, or conducting tourism market research, our tailored scraping solution delivers insights that static APIs and front-end browsing simply can’t match.
Automated scraping of filtered flight ticket data from Opodo.com, including complex on-page interactions for airline and pricing selection.
Learn More
Daily scraping of Booking.com services - hotels, flights, car rentals, and attractions - with best-price selection across global destinations.
Learn MoreLearn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
We don't just extract listings - we deliver curated hospitality data designed around your use case. ScrapeIt builds custom scrapers that scrape Hotels.com data and gather exactly the information you need, whether it’s about pricing trends, promotional behavior, or property-level attributes. Everything is filtered, structured, and formatted for easy integration into your analytics tools, dashboards, or internal systems. No scripts to manage, no missed updates - just travel data delivered the way it should be.
Yes - we deliver clean, structured datasets in the format that fits your workflow, including CSV, JSON, Excel, or custom layouts.
We do. Flash deals, strike-through pricing, urgency labels like “Only 1 left,” and reward banners are all included in the extraction.
Definitely. Our extraction process supports filters for location, star class, chain brand, or even language-specific listings.
Yes - we can isolate listings offering free cancellation, “pay later” terms, or other flexible booking conditions.
We can automate the process to provide historical pricing snapshots at any frequency - daily, weekly, or customized intervals.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
