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Vrbo Search Scraper

A search you already ran,
as a spreadsheet.

Run the search on Vrbo - your dates, your guests, your filters - then paste the URL here and get every rental in it as a row: name, price, beds, baths, sleeps, rating, how many reviews, location, the listing link and an image. Eleven columns, one row per rental, and one thing to know before you start: Vrbo blocks datacentre addresses and renders its results in the browser, so this scraper needs your own residential proxy.

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500 free rows, one-time$0.002 per row after that11 columnsCSV · XLSX · JSON
How it works

Search on Vrbo first,
then paste the link.

The search is the input. Whatever you narrowed it down to on the site is what comes back here, which means there is no filter panel to learn on our side.

  1. STEP 1Sign in to the platform.
  2. STEP 2Open the Vrbo Search Scraper.
  3. STEP 3Run the search on Vrbo first, with the dates, guests and filters you want, and copy the resulting URL.
  4. STEP 4Paste your Vrbo search URLs, one per line - or upload a CSV, XLSX or TXT file.
  5. STEP 5Configure a residential proxy - Vrbo blocks datacentre IPs and renders client-side - set a limit per query, then click Get Data.
  6. STEP 6Download the result as CSV, XLSX or JSON.

The limit here is per query, so ten search URLs with a limit of fifty is fifty rentals from each, not fifty in total.

Why teams use it

One search,
the whole page of results.

The listing card, unpacked

Price sits beside beds, baths and sleeps, and beside the rating and the review count. That is the comparison a rental card makes you do by eye, laid out as columns you can sort - which is most of what market research on a destination actually is.

Your search, not our approximation

The input is the URL of a search you ran yourself, so the dates, the guest count and every filter are exactly the ones you chose. Nothing is re-interpreted on the way in, because the job carries your links and a row limit and nothing else.

The proxy is a hard requirement

The tool names two obstacles, not one: Vrbo blocks datacentre addresses, and it builds its results in the browser rather than serving them ready-made. So this scraper runs through your own paid residential proxy. Residential is enough - this is not one of the scrapers that insists on a US one.

What you get

Eleven columns,
one row per rental.

Each row is one property from the search results: what it is called, what it costs, how big it is, how it is rated, where it is, and where to find it.

The column list below is the header row of real run exports, corroborated by the column array the run screen renders - the two match exactly. What it is not is a sample. Read the note under the table before you write code against any of these fields. On this page that note is unusually short and unusually blunt: we describe none of the contents, and it explains exactly why we cannot.

Try 500 rows free
Data dictionary

Eleven columns,
named, not narrated.

The names are exact - they are the workbook's header row and the run screen's column array, and the two agree. The descriptions say what each column is for. Not one of them describes a format, and the note under the table explains why that is a deliberate silence rather than an oversight.

query
The search URL this row came from, so a result set groups back to the search that produced it. Whether it is echoed exactly as you pasted it, we have not observed.
name
The rental's title as the listing shows it.
price
The price shown on the listing. We cannot tell you the currency, or whether it is per night, per stay, or before fees - see the note below.
beds
The number of beds the listing advertises.
baths
The number of bathrooms the listing advertises.
sleeps
How many guests the rental sleeps. This is the capacity figure, which is not the same question as how many beds there are.
rating
The rating shown on the listing. No scale is stated on this page - we have not seen a value, and nothing in the tool implies one.
reviews
The review count. A number of reviews, not the review text; there is no review body in this export.
location
The location as the listing gives it. Whether that is a city, a neighbourhood or something more precise, we have not seen.
url
The listing link.
image
The listing image.

This page describes no column's contents, and that is deliberate. Every run export we hold came back empty - six runs between 2026-07-01 and 2026-07-15, each a workbook with this header row and no data rows beneath it - because Vrbo blocks datacentre IPs and renders client-side, and the runs were made without the residential proxy the tool requires. On some of our other pages we can still say something about a column even with no rows, because the tool's own results view handles each field in a way that gives it away - rounding a rating into five star slots, wrapping a name in a link, feeding a value into an image tag. This tool does not do that. It renders a plain table and applies one rule to every column alike: if the value starts with http, show it as a link. That tells us nothing about any particular field. So eleven exact, cross-checked column names is what we have here, and it is all we are going to print.

Run one search free
Run controls

One dial,
and a link.

The search itself carries every choice you made on Vrbo. On our side there is one number to set and one way to hand over the list.

vrbo.com/search URL One per line Limit per query Empty or 0 takes all CSV upload XLSX upload TXT upload Residential proxy
Everything is in the URL

No filter panel,
on purpose.

There are no date fields on this form, no guest counter and no price slider - and that is not an omission. The job we send carries your search URLs and a row limit, and nothing else. Every other choice therefore has to be in the link.

In practice that is the easier arrangement: you narrow the search on Vrbo until the results look right, then copy the address bar. Whatever you were looking at is what you get back, with no second filter language to learn and no risk of our interpretation of 2 guests, mid-March, under $200 differing from the site's.

It also makes comparisons cheap. The same destination on two different date ranges is two URLs, one run - and the query column tells you which row came from which.

livescraper.app · what the job carries
Your search URLs✓
A per-query row limit✓
Nothing else at all!
Dates → in the URL✓
Guests and filters → in the URL✓
Build the search on Vrbo, then copy the address.
Handing over the list

Uploads add,
and don't de-duplicate.

An uploaded file does not clear the box - the lines are appended to whatever you had already typed. Worth knowing: unlike some of our other scrapers, this one does not remove duplicates. Upload the same file twice and those searches really will run twice, and bill twice.

For a CSV or TXT the whole line is taken as one URL, so a spreadsheet with extra columns is not what you want here. Only an XLSX is read column by column, and there it takes column A.

The picker lists Parquet alongside CSV, XLSX and TXT, but it cannot actually read one in the browser and will tell you so - use one of the other three.

livescraper.app · the upload
CSV · XLSX · TXT✓
Duplicates are NOT removed!
CSV and TXT: the whole line✓
XLSX: column A✓
Appended to what you typed✓
Check the box before you run - a doubled list is a doubled bill.
Common workflows

Three jobs people
run here most.

A few of the ways teams turn a destination and a date range into something they can reason about.

Pricing

See what the comparable rentals ask

Search your own destination for the size of property you let, then read the price column against beds, baths and sleeps. Pricing a rental against listings that actually match it is a different exercise from pricing it against the town average.

Hosts · Property managers
Seasonality

Compare two date ranges in one run

The same destination in July and in November is two search URLs and a single job. Because the query column travels with every row, the two sets stay separable in the export without you keeping track.

Revenue
Market

Measure supply in a destination

Run the searches you care about and look at what the market is made of - how much of it is large properties, how much is highly rated, how the asking prices spread. That is a supply picture, and it is hard to get any other way.

Strategy
Get started
Pricing

Pay for the rentals
you actually pull.

No subscription, no minimum, no recurring invoice. Your first 500 rows are on us - after that, pay as you go at the same flat rate as every other scraper here.

Free tier

500 rows free - $0

On every new account, one time. No credit card. Per-query limits, file upload and every export format included. The residential proxy this scraper needs is yours to supply.

$0 forever
Pay as you go

$0.002 per row, after the free tier

The same flat rate as every other scraper on the platform, and a row here is one rental. The estimator shows the row count and credit cost before a run starts - no surprise bills, no compute units to translate.

Most popular
Volume

Custom · high volume

Volume pricing, dedicated workers and an SLA for ongoing monitoring or very large historical pulls. Tell us your numbers and we will quote it.

Talk to us
Start free See full pricing
10% off your first paid run.Use code LIVESCRAPER10 at checkout.
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Pairs well with

Vrbo is half
the market.

Most destinations are listed on both platforms, and rarely at the same prices. These two cover the other half.

Airbnb Search Scraper

The same question on the other big short-term rental platform. A destination priced one way here and another way there is the sort of gap that only shows up when you pull both.

Explore

Airbnb Reviews Scraper

This export gives you a review count and no review text. If it is guest sentiment you are after rather than supply and price, that is the tool for it.

Explore
The legal bit

Is it legal to scrape
Vrbo listings?

Short answer: yes for public listing data - and this export is lighter on personal data than most, because it carries properties rather than people.

Everything in this export is shown on a Vrbo search results page to anyone who runs that search, logged in or not: the title, the price, the size, the rating, the review count, the location, the link and an image. Collecting publicly visible listing information for market research is long-settled practice, and nothing here touches a login, a booking flow or a payment page.

There is no guest name and no review text in these eleven columns, which keeps most of the personal-data question off this page. But a short-term rental is often someone's home and sometimes their livelihood, and a precise location attached to a property is more sensitive than a shop's street address. Aggregate analysis of a market is ordinary use; assembling a dossier on an individual host is not.

Vrbo restricts automated access in its terms and enforces it at the network level, which is why a residential proxy is a requirement here rather than a suggestion. That makes this a contractual question as well as a technical one. We run no third-party trackers on the data layer, and your exports self-delete after 30 days.

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livescraper.app · principles
Public search results only✓
No logins, no bookings, no payments✓
No guest names, no review text✓
A rental is often someone's home!
Exports self-delete (30 days)✓
Check Vrbo's own terms before you scale up.
FAQ

What people ask
before signing up.

The questions we get most. Anything else? Talk to us - humans write the answers, not a bot.

How do I scrape Vrbo search results?+
Using the Vrbo Search Scraper:
  1. Sign in to the platform.
  2. Open the Vrbo Search Scraper.
  3. Run the search on Vrbo first, with the dates, guests and filters you want, and copy the resulting URL.
  4. Paste your Vrbo search URLs, one per line - or upload a CSV, XLSX or TXT file.
  5. Configure a residential proxy - Vrbo blocks datacentre IPs and renders client-side - set a limit per query, then click Get Data.
  6. Download the result as CSV, XLSX or JSON.
What exactly goes in the input box?+
A vrbo.com/search URL, one per line. Not a city name and not a property id - the whole search, as a link. The simplest way to get one is to run the search on Vrbo yourself and copy what is in the address bar.
Where do I set the dates and the number of guests?+
In the URL, not on our form. The job we send carries your search URLs and a row limit and nothing else, so every other choice - dates, guests, price band, property type, any filter at all - has to be baked into the link you paste. Build the search on Vrbo, then copy the address.
Do I need a proxy for this one?+
Yes. The tool gives two reasons rather than one: Vrbo blocks datacentre addresses, and it renders results client-side. So this scraper runs through your own paid residential proxy. Note that residential is enough here - this one does not ask for a US residential proxy the way our Yelp scrapers do.
My run came back empty. Why?+
The proxy is the cause the tool names, and it is the honest reading of our own evidence too - all six run exports we hold came back empty, and all six were made without one. Check that first.
Why does this page describe no column contents at all?+
Because there is nothing to describe them from. Every run export we hold returned zero rows - six runs between 2026-07-01 and 2026-07-15 - so we have never seen a value. On some of our other pages we can still say what a column holds, because those tools display each field in a way that gives it away. This one is built on a shared table view that treats every column identically, so it tells us nothing. Eleven exact column names is what we have, and it is what we publish.
Does uploading a file replace what I typed?+
No, it adds to it - and unlike some of our other scrapers it does not remove duplicates, so uploading the same file twice really will queue those searches twice. For a CSV or TXT the whole line is taken as one URL; for an XLSX it reads column A.
How much does it cost?+
The first 500 rows are free and one-time, with no credit card. After that it is $0.002 per row - the same flat rate as every other scraper on the platform. A row is one rental. The residential proxy is a separate cost, and it is yours.

Your first 500 rentals,
on the house.

500 free rows, one time, on every new account - no expiry. After that it is $0.002 per row, pay as you go, with no card on file until you decide. The residential proxy is yours to bring.

Start free See full pricing
Live in seconds · no card

Scrape Vrbo vacation rental listings at scale

Livescraper's Vrbo Search Scraper turns a search you have already run into a spreadsheet. You narrow the results on Vrbo - destination, dates, guests, whatever filters matter - copy the URL, and paste it here, one per line or uploaded as a CSV, XLSX or TXT file. Then you download the rentals as a clean CSV, Excel or JSON file, one row per property.

Each row carries the name, the price, beds, baths and sleeps, the rating and review count, the location, the listing link and an image. That is the listing card unpacked into columns you can sort, which is most of what comparing a set of rentals actually involves. The search URL travels with every row in the query column, so several searches in one job stay separable afterwards.

Hosts and property managers pull the comparable rentals in their own destination and read price against size, rather than against a town-wide average that includes nothing like their property. Revenue teams run the same destination on two date ranges in a single job to see how the market moves with the season. Strategy teams measure supply - how much of a destination is large properties, how much is highly rated, how asking prices spread.

Two things are stated plainly here rather than buried. Vrbo blocks datacentre addresses and renders its results in the browser, so this scraper needs your own paid residential proxy to return anything at all - residential is sufficient, unlike some of our other scrapers that require a US one specifically. And this page describes none of the columns' contents, because every run export we hold returned zero rows and, unlike some of our other tools, this one's results view treats every column identically and so gives nothing away. The eleven column names are exact and cross-checked; everything else is what your first free-tier run will tell you. Start free: your first 500 rows cost nothing and need no card.