You get CSV, JSON, XLSX or an API endpoint, on the cadence the question needs. Rate and calendar work usually runs daily or weekly against a fixed query grid so the series stays comparable. Catalogue work - property shape, amenities, review history - runs less often, because it moves less.
We also cover the sibling domains on request. Abritel in France, FeWo-direkt in Germany, Stayz in Australia and Bookabach in New Zealand still answer on their own addresses, and their robots files allow the same parameter set, so the same schema and the same query grid carry across them. Ask for one country or all of them in a single delivery.
A run returns one row per listing per query, keyed to the numeric listing id and to the exact date range and guest count you asked for. The standard field set:
Column names are ours, not Vrbo's, and they hold steady between runs even when the site rearranges its markup. If you need a field that is on the page and not on this list, say so and we will add it to the schema.
A rate without a date range is not a rate. What Vrbo shows depends on arrival, departure and party size, and those are literally URL parameters: arrival, departure, adultsCount, childrenCount, plus noDates for the undated view. Cleaning is a flat per-stay charge, so its per-night weight falls as the stay lengthens, and the service fee sits on the subtotal above it. We fix the query grid with you first - which dates, which guest counts, which horizon - and stamp every row, because a Vrbo price scrape without that grid stated is not reproducible.
Identifiers. A listing lives at the numeric id appended to the domain. Some paths still carry an ha suffix from the HomeAway namespace, and archived captures show the path id and the unitId parameter on the same page are different numbers, so we key on both.
Access. Checked on 31 August 2026, vrbo.com answered a plain HTTP client with 429 on the first request. We respect robots and rate limits, we do not defeat protections, and we say plainly when a field is out of reach.
Personal data. Many hosts are private individuals and a listing shows a first name and a photograph. Output is limited to listing and commercial data. Host names, photographs and contact details are excluded by default, and precise addresses are not collected - Vrbo does not publish them before booking in any case. That material is personal data under the GDPR, so we leave it out rather than gather it and filter afterwards.
Vrbo started in 1995 as Vacation Rentals By Owner, one site built by a Colorado owner to let his own condo. HomeAway bought it in 2006. Expedia Group announced the purchase of HomeAway, VRBO included, in November 2015 for USD 3.9 billion, and closed in the first quarter of 2016. The name was restyled from VRBO to Vrbo in March 2019, after which Expedia Group made it the primary vacation rental brand and retired HomeAway behind it.
The rule that matters to a data buyer is the shared spaces policy. Vrbo does not accept a listing where the guest shares interior space with the host or with another booking party, setting aside common areas such as a building hallway or a communal pool. Every unit is the whole property. There are no private rooms and no shared rooms to filter out, which is the practical difference between Vrbo data and data from a marketplace that mixes room types into the same result set.
That one rule shapes everything downstream. Supply skews to houses, cabins, condos, villas and cottages sized for families and groups. Party size is a first-class attribute rather than a footnote, and professional property managers hold a larger share of the supply than they do on a room-sharing site. Comparables built from Vrbo are whole-home against whole-home by construction, with no per-room noise to strip out first.
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Rate benchmarking is the common one. Because the inventory is whole-property by policy, a Vrbo pull gives you a comparable set for entire-home pricing without first discarding rooms and shared spaces, which makes the median for a four-bedroom house in a given market mean something.
Supply and market entry work follows. Counting listings by destination, bedroom count and maximum occupancy over successive runs shows where whole-home stock is growing or thinning, and separating owner-managed listings from professionally managed ones tells you which of those two populations is moving.
Underwriting and acquisition teams use the calendar and rate history together. Occupancy inferred from calendar state, multiplied by a total that includes fees rather than the headline nightly rate, is a far better revenue proxy than the advertised rate alone.
Then there is cross-brand comparison. Buyers who already take Airbnb or Booking.com feeds add Vrbo to see how the same destination prices when the room-type mix is removed from the denominator, and to check how family-sized and group-sized units behave against the smaller units that dominate elsewhere.
Monitoring of real estate listings on funda.nl, pararius.com, rentberry.com, rentola.com, and zimmo.be to support the growth of a European property portal.
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Daily detection of new private property listings in Switzerland on Homegate.ch and ImmoScout24.ch, giving the agency first access to high-value leads.
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Scraping residential listings from Immobilienscout24.de in Germany and Mallorca, including complete data and resized images.
Learn MoreLearn how to use web scraping to solve data problems for your organization
Real estate teams work in a fragmented data landscape. The sites that drive demand in Boston look nothing like the ones that matter in Berlin, São Paulo, Dubai, or Mumbai.
Real estate teams are operating in a data environment that is bigger, faster, and more fragmented than ever. Listings go live and disappear in hours, price cuts happen quietly, and the portals that matter most in each country are rarely the same global “top 5.”
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
ScrapeIt is a managed web scraping agency. We are independent of Vrbo and of Expedia Group. We scope the job, build the crawler, run it on your schedule, watch it when the site changes, and repair it without asking you to file a ticket.
You never touch the pipeline. What arrives is a file or an endpoint with the columns agreed at the start, in the same shape every time. Send us a sample of the destinations and dates you care about and we will come back with a field list and a schedule.
Not a public one. There is no open developer API for the consumer site that you can sign up for and query. Vrbo inventory does reach Expedia Group's Rapid API, and the Rapid documentation read on 31 August 2026 states that Vrbo supply there is "currently only available to a limited number of partners", identified through a vrbo supply source and covering geography, content, guest reviews, availability and price check, booking and cancellation. That path needs approval and a commercial contract, and the link-off programme is gated separately. For most buyers it is not an option, which is why scraping the public pages is the practical route.
Yes, and that is the point. We capture the nightly rate, the cleaning fee, other host fees, the service fee, taxes and the quoted total for a stated arrival date, departure date and guest count. Ask for the headline nightly rate alone and you will get a number that does not match what a guest pays, especially on short stays where a flat cleaning fee lands hardest. Every row carries the query parameters and the run timestamp so two pulls can be compared.
Yes. Vrbo absorbed HomeAway, but several regional brands were never folded into the vrbo.com domain and still run at abritel.fr, fewo-direkt.de, stayz.com.au and bookabach.co.nz. Checked on 31 August 2026 all four were live and their robots files allow the same parameters - unitId, arrival, departure, adultsCount, childrenCount, petIncluded and noDates - so we can run one schema across the family. Do not assume an id from one domain resolves on another; we reconcile listings on address-free attributes rather than trusting the id alone.
No. Output is limited to listing and commercial data. Host names, host photographs and contact details are excluded by default, and we do not collect precise addresses; Vrbo withholds the exact address until a booking is confirmed, and we do not try to reconstruct it. What you get is the approximate location the listing publishes, alongside the property, rate, calendar and review fields. If your use case genuinely needs something more, tell us and we will discuss whether it can be done at all.
Three things move at different speeds. Calendars churn daily as bookings land and cancel. Rates move seasonally and around events, and a host can reprice at any time. The listing catalogue itself - property type, bedrooms, occupancy, amenities - is comparatively stable. Most clients run rates and availability daily or weekly on a fixed query grid and refresh the catalogue monthly. Review counts accumulate slowly, so a monthly pass is usually enough there too.
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.
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