VRBO Property Scraper

Extract VRBO vacation rental search results into a clean dataset built for analysis, monitoring, and research. Collect listing titles, prices, review signals, cancellation details, gallery images, and direct listing links without the duplicate and empty rows that make raw search data hard to use.

Features

• Search result collection — Extract listings from VRBO search URLs or destination-based searches.
• Clean pricing data — Capture nightly price, total stay price, and price qualifiers in a structured format.
• Review and trust signals — Collect review score, review label, review count, badges, and cancellation messaging.
• Media-ready output — Save direct listing URLs, preview images, and image counts for each result.
• Deduplicated dataset — Filters placeholder cards, repeated properties, and null-heavy records before saving output.

Use Cases

Market Research

Track pricing, review quality, and property mix across destinations. Compare neighborhoods, demand windows, and listing positioning with cleaner data than manual browsing can provide.

Travel Planning Data

Build searchable shortlists of rentals for internal tools, concierge workflows, or destination research. Use structured prices, cancellation notes, and review signals to rank options faster.

Competitive Monitoring

Monitor how listings appear in destination searches over time. Review changes in nightly rates, visibility, and listing presentation across repeated runs.

Rental Portfolio Analysis

Study what kinds of properties appear for a target market and stay window. Use sleeps, property type, image coverage, and pricing data to benchmark similar rentals.

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Input Parameters

Parameter	Type	Required	Default	Description
property_listings_urls	Array	No	—	One or more VRBO search or listing URLs to use as starting points.
results_wanted	Integer	No	30	Maximum number of unique listings to save.
max_pages	Integer	No	5	Maximum number of paginated result pages to request per search.
proxyConfiguration	Object	No	{"useApifyProxy": true}	Proxy settings for higher reliability. Residential proxies are recommended.

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Output Data

Each dataset item contains:

Field	Type	Description
property_id	String	Unique property identifier from the search results.
title	String	Listing title shown in VRBO results.
listing_url	String	Direct URL to the listing details page.
listing_path	String	Relative listing path returned by the source.
property_type	String	Property category shown in the card summary.
sleeps	Number	Guest capacity when available in the listing summary.
location_text	String	Area or location label shown in the card.
review_score	Number	Numeric review score.
review_label	String	Review quality label such as Wonderful or Exceptional.
review_count	Number	Number of reviews shown for the listing.
price_per_night	Number	Nightly price for the selected stay.
price_total	Number	Total displayed price for the stay.
price_qualifier	String	Pricing context such as stay dates or per-night wording.
all_fees_included	Boolean	Whether the card states that all fees are included.
cancellation_policy	String	Cancellation message shown in the card.
free_cancellation	Boolean	Whether the listing advertises free cancellation.
image_url	String	Primary listing image URL.
image_count	Number	Number of gallery images available in the card response.
badge_text	String	Listing badge text when present.
currency	String	Currency used in the result set.
search_url	String	Search URL associated with the extracted record.
page_number	Number	Search page number where the listing was collected.
scraped_at	String	ISO timestamp for when the record was extracted.

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Usage Examples

Basic Search Extraction

{
    "property_listings_urls": [
        "https://www.vrbo.com/search?destination=Las+Vegas%2C+Nevada%2C+United+States+of+America&startDate=2026-06-02&endDate=2026-06-05&adults=2"
    ],
    "results_wanted": 30
}

Larger Result Set

{
    "property_listings_urls": [
        "https://www.vrbo.com/search?destination=Miami%2C+Florida%2C+United+States+of+America&startDate=2026-07-10&endDate=2026-07-15&adults=4"
    ],
    "results_wanted": 100,
    "max_pages": 3
}

Proxy-Hardened Run

{
    "property_listings_urls": [
        "https://www.vrbo.com/search?destination=London%2C+England%2C+United+Kingdom&startDate=2026-08-01&endDate=2026-08-05&adults=2"
    ],
    "results_wanted": 50,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

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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?chkin=2026-06-02&chkout=2026-06-05&adults=2",
    "property_type": "Hotel",
    "sleeps": 2,
    "location_text": "Within Las Vegas Strip",
    "review_score": 9.0,
    "review_label": "Wonderful",
    "review_count": 20,
    "price_per_night": 70,
    "price_total": 209,
    "price_qualifier": "per night | Jun 2 - Jun 5",
    "all_fees_included": true,
    "cancellation_policy": "Free cancellation until May 19",
    "free_cancellation": true,
    "image_url": "https://media.vrbo.com/lodging/101000000/100520000/100518100/100518043/09eaa55d.jpg?impolicy=resizecrop&ra=fit&rw=455&rh=455",
    "image_count": 15,
    "currency": "USD",
    "page_number": 1,
    "search_url": "https://www.vrbo.com/search?destination=Las+Vegas%2C+Nevada%2C+United+States+of+America&startDate=2026-06-02&endDate=2026-06-05&adults=2",
    "scraped_at": "2026-04-24T09:00:00.000Z"
}

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Tips for Best Results

Use Real Search URLs

• Start with working VRBO search URLs for the destination and stay window you care about.
• Keep dates realistic and available enough to return active search results.

Keep Test Runs Small

• Start with results_wanted between 20 and 30 while validating new searches.
• Increase page count only when you need broader coverage.

Use Residential Proxies

• Residential proxies are the best option for repeatable large runs.
• Direct connections may still work locally, but reliability is lower.

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Integrations

Connect your dataset with:

• Google Sheets — Review pricing and review trends in a spreadsheet.
• Airtable — Build searchable property research tables.
• Slack — Send alerts when fresh listings match your criteria.
• Webhooks — Deliver cleaned result data to internal systems.
• Make — Automate downstream enrichment and reporting.
• Zapier — Trigger actions from newly collected listings.

Export Formats

• JSON — Best for APIs and custom applications.
• CSV — Best for spreadsheet analysis.
• Excel — Best for reporting and sharing.
• XML — Useful for legacy integrations.

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Frequently Asked Questions

Does the actor remove duplicates?

Yes. Repeated properties and placeholder cards are filtered before data is written to the dataset.

Why are some fields missing on certain listings?

Not every listing shows the same card details in search results. Fields that are not provided are omitted instead of saved as empty values.

Can I scrape more than one page?

Yes. Use max_pages and results_wanted together to control deeper collection.

Can I use direct listing URLs?

Yes. The actor accepts search and listing URLs, then collects the matching result data available for that stay window.

What kind of prices are returned?

The dataset includes the nightly price when shown, the total stay price when shown, and any pricing qualifier present on the card.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with applicable terms, policies, and laws when collecting or using data.