VRBO Property Scraper

What does VRBO Property Scraper do?

VRBO Property Scraper collects vacation rental listings from VRBO search URLs and destination searches. Provide one or more public VRBO search URLs, or use a location and travel dates, and receive a structured dataset with property titles, listing links, prices, reviews, cancellation information, images, and search metadata.

The dataset is useful for vacation rental market research, travel planning, competitor monitoring, pricing analysis, and property inventory tracking. Results are deduplicated and can be downloaded as JSON, CSV, Excel, or XML, or connected to other Apify workflows.

Why use VRBO Property Scraper?

• Market coverage - Collect listings from multiple destinations and search URLs in one run.
• Pricing signals - Capture nightly prices, total stay prices when displayed, currency, pricing qualifiers, and fee-inclusion messaging.
• Property comparison - Compare property types, guest capacity, review scores, review counts, badges, and location labels.
• Travel date context - Use the check-in, check-out, and guest settings already present in a VRBO URL, or provide them as separate inputs.
• Clean datasets - Duplicate properties, placeholder cards, and records with no meaningful listing information are removed before results are saved.
• Repeatable monitoring - Schedule runs in Apify to compare inventory, prices, ratings, and listing visibility over time.

What data can you extract from VRBO?

Field	Type	Description
property_id	String	Unique VRBO property identifier.
title	String	Listing title shown in the search results.
listing_url	String	Direct URL to the property details page.
property_type	String	Property category such as hotel, house, or apartment.
bedrooms	Number	Number of bedrooms parsed from the listing summary.
beds	Number	Number of beds when shown in the listing summary.
bed_type	String	Bed type such as Double or King when shown.
bathrooms	Number	Number of bathrooms when shown in the listing summary.
sleeps	Number	Guest capacity when shown in the listing summary or title.
location_text	String	Area, neighborhood, or location label displayed on the listing card.
description	String	Property marketing description from the listing page (property URL runs).
city	String	Property city (property URL runs).
state	String	Property state or region (property URL runs).
country	String	Property country (property URL runs).
latitude	Number	Property latitude (property URL runs).
longitude	Number	Property longitude (property URL runs).
amenities	Array	Amenity names listed on the property page.
highlights	Array	Short property highlight phrases.
images	Array	Gallery image URLs.
review_score	Number	Numeric review score when available.
review_label	String	Review quality label such as Exceptional or Excellent.
review_count	Number	Number of reviews shown for the property.
review_theme	String	Review sentiment theme such as positive.
price_per_night	Number	Displayed nightly price for the selected stay.
price_original	Number	Original nightly price before discount, when shown.
price_total	Number	Total stay price when shown in the search result.
nights	Number	Number of nights the displayed total covers.
price_qualifier	String	Pricing context such as average per night or stay-period messaging.
all_fees_included	Boolean	Whether the listing states that all fees are included.
cancellation_policy	String	Cancellation terms shown in the search result.
free_cancellation	Boolean	Whether free cancellation is advertised.
image_url	String	Primary listing image URL.
image_count	Number	Number of gallery images available for the listing.
badge_text	String	Primary listing badge such as Premier Host when present.
badges	Array	All badge labels such as Premier Host or a discount badge.
sponsored	Boolean	Whether the search result was marked as sponsored.
search_position	Number	Position of the listing within the search results.
guest_rating_source	String	Source of the guest rating such as INTERNAL or EXTERNAL.
currency	String	Currency code used for pricing fields.
search_url	String	Search URL that produced the record.
input_type	String	Whether the target came from a URL or a location search.
page_number	Number	Search results page where the listing was found.
scraped_at	String	ISO timestamp for the collection time.

Optional fields are omitted when VRBO does not display the corresponding information for a listing.

How to scrape VRBO data

1. Open VRBO Property Scraper in Apify.
2. Add a public VRBO search URL, one or more property listing URLs, or a destination with optional dates and guest count. Search URLs return result cards; property listing URLs return full property details such as description, amenities, highlights, gallery images, and coordinates.
3. Set results_wanted and max_pages to control the collection size.
4. Run the Actor and review the dataset preview.
5. Download the results or connect the dataset to an API, webhook, spreadsheet, or automation.

Input Parameters

Parameter	Type	Required	Default	Description
property_listings_urls	Array or String	No	[]	One or more VRBO search or property listing URLs. This is the recommended input for repeatable searches.
location	String	No	Las Vegas, Nevada, United States of America	Destination or area to search when no URL is provided.
check_in	String	No	30 days from run date	Check-in date in YYYY-MM-DD format.
check_out	String	No	33 days from run date	Check-out date in YYYY-MM-DD format.
adults	Integer	No	2	Number of adults for a destination-based search.
results_wanted	Integer	No	30	Maximum number of unique listings to save.
max_pages	Integer	No	5	Maximum number of result pages to collect for each target.
proxyConfiguration	Object	No	Apify Proxy (Unblocker)	Proxy settings for larger or repeated runs. The Unblocker proxy group is recommended for stable results on protected search pages.

property_listings_urls and location are the search inputs; all other fields are filters or run controls. A URL can contain its own destination, dates, and adult count. check_in, check_out, and adults are filters that override the matching values in a supplied URL, while a supplied URL's own destination takes precedence over location. If no search input is provided, the location default is used.

Output Data

Each dataset item represents one unique VRBO search result. Fields with no source value are left out of that item.

Field	Type	Description
property_id	String	Stable property identifier used for deduplication.
title	String	Property listing title.
listing_url	String	Full property details URL.
listing_path	String	Relative listing path when available.
property_type	String	Property type label.
sleeps	Number	Maximum guest capacity shown in the card.
location_text	String	Displayed location or area text.
review_score	Number	Numeric review score.
review_label	String	Textual review label.
review_count	Number	Review count.
price_per_night	Number	Numeric nightly price.
price_total	Number	Numeric total stay price when displayed.
price_qualifier	String	Text explaining the displayed price.
all_fees_included	Boolean	Whether all fees are included according to the card.
cancellation_policy	String	Cancellation message.
free_cancellation	Boolean	Free-cancellation indicator when advertised.
image_url	String	Primary image URL.
image_count	Number	Available gallery image count.
badge_text	String	Badge or host-status text.
currency	String	Price currency code.
search_url	String	Search target for the record.
input_type	String	Input mode used for the target.
page_number	Number	Result page number.
scraped_at	String	ISO collection timestamp.

Usage Examples

Basic Search by URL

Collect up to 30 unique listings from a Las Vegas search with dates and two adults:

{
  "property_listings_urls": [
    "https://www.vrbo.com/search?destination=Las+Vegas%2C+Nevada%2C+United+States+of+America&startDate=2026-09-02&endDate=2026-09-05&adults=2"
  ],
  "results_wanted": 30
}

Destination Search Without a URL

Let the Actor build a search from a destination, dates, and guest count:

{
  "location": "Miami, Florida, United States",
  "check_in": "2026-10-10",
  "check_out": "2026-10-15",
  "adults": 4,
  "results_wanted": 50
}

Multiple URLs with Pagination

Compare several destinations and collect a larger dataset across up to five pages per target:

{
  "property_listings_urls": [
    "https://www.vrbo.com/search?destination=Orlando%2C+Florida%2C+United+States&startDate=2026-11-01&endDate=2026-11-05&adults=2",
    "https://www.vrbo.com/search?destination=San+Diego%2C+California%2C+United+States&startDate=2026-11-01&endDate=2026-11-05&adults=2"
  ],
  "results_wanted": 100,
  "max_pages": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["UNBLOCKER"]
  }
}

Sample Output

{
  "property_id": "100518043",
  "title": "In the Heart of Vegas Attractions! Casino, Pool, Game Room, Near Mob Museum!",
  "listing_url": "https://www.vrbo.com/3721404?dateless=true&adults=2&regionId=2008",
  "listing_path": "/3721404",
  "property_type": "Hotel",
  "sleeps": 4,
  "location_text": "Within Las Vegas Strip",
  "review_score": 8.8,
  "review_label": "Excellent",
  "review_count": 27,
  "price_per_night": 83,
  "price_qualifier": "avg per night",
  "all_fees_included": true,
  "cancellation_policy": "Free cancellation",
  "free_cancellation": true,
  "image_url": "https://media.vrbo.com/lodging/101000000/100520000/100518100/100518043/09eaa55d.jpg",
  "image_count": 32,
  "badge_text": "Premier Host",
  "currency": "USD",
  "search_url": "https://www.vrbo.com/search?destination=Las+Vegas%2C+Nevada%2C+United+States+of+America&startDate=2026-09-02&endDate=2026-09-05&adults=2",
  "input_type": "url",
  "page_number": 1,
  "scraped_at": "2026-08-11T13:45:47.000Z"
}

Tips for Best Results

• Use complete search URLs - Include the destination, check-in date, check-out date, and adult count when those details matter to your analysis.
• Start with a small run - Test with 20 to 30 results and a low page limit before collecting a larger destination dataset.
• Keep date ranges consistent - Use the same stay dates when comparing prices across destinations or scheduled runs.
• Use the Unblocker proxy group for scale - The Unblocker proxy group is recommended for larger or repeated runs on protected search pages.
• Review optional fields across several records - New properties may not have reviews, and some search cards may not show total pricing or cancellation text.
• Check the dataset preview - Confirm that the destination and dates are correct before scheduling recurring collection.

Integrations and Export Formats

• Google Sheets - Compare prices, review scores, and property types in a spreadsheet.
• Airtable - Create a searchable property inventory with views and filters.
• Webhooks - Send completed dataset notifications or results to downstream systems.
• Make and Zapier - Trigger alerts, enrichment, reporting, or database updates.
• API access - Read datasets programmatically from your own applications.

Apify datasets can be downloaded as JSON, CSV, Excel, XML, and other supported formats.

Frequently Asked Questions

How many VRBO listings can I collect?

The Actor collects up to the results_wanted limit, subject to the number of listings available for each target and the max_pages setting. Multiple URLs share the same overall result limit.

Can I search by destination instead of providing a URL?

Yes. Provide location, and optionally set check_in, check_out, and adults. For the most predictable search context, use a complete VRBO search URL.

Can I process multiple VRBO searches in one run?

Yes. Add multiple values to property_listings_urls. The Actor removes duplicate properties across targets before saving the final dataset.

Why are some fields missing?

Some VRBO cards do not publish every field. New listings may have no review data, and total prices or cancellation messages may not appear for every search. Missing source values are omitted from the affected record.

Can I export the results to CSV or Excel?

Yes. Apify datasets support CSV, Excel, JSON, XML, and other export formats from the dataset view.

Can I schedule recurring VRBO collection?

Yes. Create an Apify schedule to run the Actor hourly, daily, weekly, or at another interval. Consistent destinations and stay dates make changes easier to compare.

Is it legal to collect VRBO data?

Public data collection may be subject to laws, privacy obligations, and VRBO terms. You are responsible for using the Actor lawfully, respecting applicable restrictions, and handling collected data responsibly.

Related Actors

• Hometogo.de Scraper - Collect vacation rental listings, prices, availability, reviews, and host information from HomeToGo.de.
• Airbnb Property Scraper - Extract Airbnb listing prices, reviews, availability, host profiles, and location data for vacation rental analysis.
• Furnished Finder Scraper - Collect furnished apartment rental prices, availability, property details, amenities, and listing links.

Support

For issues or feature requests, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is intended for legitimate collection and analysis of publicly available VRBO listing information. Users are responsible for complying with applicable laws, VRBO terms, privacy requirements, and any restrictions on using or redistributing collected data.