Airbnb hosts millions of short-term rental listings across the globe — from private rooms to luxury villas. ScrapeIt collects this accommodation data for you: structured, filtered, and ready for analysis or integration. We extract what matters most — pricing, availability, reviews, amenities — and deliver it in a format tailored to your travel-related goals.
ScrapeIt taps into Airbnb’s layered listing structure to collect the data points you care about — without requiring you to handle scripts, proxies, or settings. Our extraction engine navigates location-based filters, host profiles, and multi-date calendars to pull the details with precision. Every data set is built custom to your criteria — whether you're mapping price trends, comparing amenities, or monitoring occupancy windows.
ScrapeIt gathers core accommodation data from every Airbnb listing — covering all essentials for in-depth hospitality analysis. You’ll get details like nightly rates, cleaning fees, number of guests allowed, property type (entire place, private room, etc.), and exact location. It also captures host response rates, availability calendars, star ratings, and guest review counts — providing a complete view of how each property performs in its market segment.
Airbnb listings offer more than prices and photos — they reflect demand, urgency, and traveler behavior. With our Airbnb scraper, ScrapeIt extracts dynamic signals like “Rare Find” badges, booking velocity, minimum-stay restrictions, and cancellation flexibility. We also collect neighborhood tags, host activity frequency, and “wishlisted” status — data that reveals what attracts guests and where opportunities lie for differentiation or investment. These insights can’t be spotted by browsing — but they’re all in the data.
Airbnb has redefined global travel since its launch in 2008, growing from a simple apartment-rental idea into one of the world’s most expansive accommodation platforms — with over 7 million listings in more than 100,000 cities. What makes Airbnb stand out is its variety: from urban studios and countryside cottages to domes, lighthouses, and treehouses, it blends scale with local flavor.
It serves a diverse user base — digital nomads, vacationing families, business travelers, and curious tourists alike. Listings feature real-time pricing, reviews, host bios, and detailed filters for amenities like smart locks, fast Wi-Fi, pet-friendly spaces, or contactless check-in. Navigation tools like map search, commute filters, and quality tags such as Superhost or Guest Favorite make the experience even smoother.
Airbnb operates a single global platform at airbnb.com, localized for dozens of markets via language and currency settings. Regional experiences are provided through URL paths (e.g., airbnb.com/fr for France, airbnb.com/de for Germany, airbnb.com.au redirects to the global platform).
Beyond places to stay, Airbnb also offers curated Experiences: locally led tours, tastings, workshops, and more. Paired with a strong trust system and mobile-first design, it continues to shape how people book, live, and explore globally.
Get a Quote
Developers
Customers
Pages extracted
Hours saved for our clients
Customized plans that grow with your data needs.
€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
Airbnb’s listings contain more than just availability and prices — they reflect local demand, guest expectations, and competitive positioning. By using an Airbnb web scraper, businesses can track pricing fluctuations by region, benchmark host performance, or evaluate traveler preferences across different cities. Whether you’re building a travel planning tool, analyzing occupancy trends, or identifying top-performing property types, structured data from Airbnb gives you a strategic edge. With ScrapeIt’s Airbnb web scraper, you don’t just browse — you analyze at scale.
Learn 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.
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
ScrapeIt delivers structured travel and hospitality data — no dashboards, no guesswork. Just clean, filtered datasets tailored to your business needs. Need Airbnb data to monitor pricing trends, compare availability, or track market shifts across cities? We engineer scraping pipelines that match the structure of each platform and adapt to its specific logic. Every solution is built for seamless integration into your analytics stack or travel tech systems.
Yes — we can focus on listings with pet policies, eco-certifications, contactless check-in, or even unique tags like “great for remote work.”
Absolutely. You’ll receive structured exports in CSV, Excel, or JSON — clean, organized, and ready for your analytics stack.
We offer flexible extraction intervals — daily, weekly, or custom — depending on how fresh you need the travel data to be.
Yes. Ratings, review counts, Superhost status, response times — we include all those signals to help you assess listing quality and trust indicators.
Definitely. Whether you're powering a booking engine, conducting hospitality research, or optimizing pricing, our extractor fits seamlessly into travel tech workflows.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
