Airbnb & Vrbo Revenue and Occupancy Estimator

Scrape Airbnb and Vrbo short-term-rental listings and get an estimated monthly revenue and estimated occupancy rate for every one — benchmarked against comparable listings in the same city and bedroom class. No Airbnb or Vrbo account, login, or official API. Built for short-term-rental investors, property managers, and analysts who need a fast read on what a market or a specific property is likely earning.

What is the Airbnb & Vrbo Revenue and Occupancy Estimator?

This is an Apify Actor that collects short-term-rental listings from Airbnb and Vrbo and, for each listing, adds an estimated monthly revenue and an estimated occupancy percentage plus a plain-English occupancyBasis explaining how each number was reached. Enter a city (e.g. Austin, TX) or paste search URLs, and it returns one clean JSON row per listing — normalized price, bedrooms, bathrooms, guest capacity, rating, review count, host type, coordinates, images — along with a per-market summary of median price, revenue, and occupancy. The occupancy figure is a review-volume proxy ranked against same-market comparables, not booked-night data.

How to estimate Airbnb revenue for a market

1. Open the Actor and enter a location (e.g. Nashville, TN) or add startUrls (Airbnb or Vrbo search / listing URLs).
2. Optionally set checkIn / checkOut, guests, propertyType, minBedrooms, or maxPrice.
3. Set maxItems — a higher number gives more comparable listings per market and sharper estimates.
4. Leave proxyConfiguration on the default (Vrbo runs are upgraded automatically).
5. Click Start. Export as JSON, CSV, Excel, or via the dataset API.

What data can I extract?

Field	Type	Description
site	string	airbnb or vrbo
id	string	Listing ID on its platform
title	string	Listing headline
propertyType	string	House, Apartment, Condo, Guesthouse, Villa, etc.
bedrooms / bathrooms / beds	number	Room configuration (0 for studio, null if not shown)
maxGuests	integer	Maximum guest capacity
pricePerNight	number	Nightly price, normalized from any trip total shown
currency	string	ISO currency code
priceQualifier	string	Price context, e.g. night, for 3 nights
location / city	string	Full location label and the city used for comparison
latitude / longitude	number	Coordinates when published
rating	number	Overall guest rating
reviewCount	integer	Total number of reviews
estimatedMonthlyRevenue	number	pricePerNight × 30.4 × (estimatedOccupancyPct ÷ 100)
estimatedOccupancyPct	number	Estimated occupancy, 20–90, from the comparable-market model
reviewCountVsMarket	string	above average / about average / below average vs same-market comparables
marketComparableCount	integer	How many comparable listings the estimate is based on
marketMedianPricePerNight	number	Median nightly price of the comparable set
occupancyBasis	string	Plain-English explanation of how the occupancy figure was derived
hostType	string	Superhost / Host (Airbnb); null where not published
categoryRatings	object	Sub-ratings (cleanliness, accuracy, check-in, communication, location, value) when available
imageUrls	array	Public image URLs for the listing
listingUrl	string	Canonical listing URL
scrapedAt	string	ISO timestamp of collection

Input example

{
    "location": "Austin, TX",
    "checkIn": "2026-10-15",
    "checkOut": "2026-10-18",
    "guests": 2,
    "maxItems": 40,
    "proxyConfiguration": { "useApifyProxy": true }
}

Output example

[
    {
        "site": "airbnb",
        "id": "8355807",
        "title": "Guesthouse in Austin",
        "propertyType": "Guesthouse",
        "bedrooms": 1,
        "bathrooms": 1,
        "beds": 1,
        "maxGuests": 2,
        "pricePerNight": 218,
        "currency": "USD",
        "priceQualifier": "for 3 nights",
        "location": "Austin, Texas, United States",
        "city": "Austin",
        "latitude": 30.2521,
        "longitude": -97.75625,
        "rating": 4.9,
        "reviewCount": 221,
        "estimatedMonthlyRevenue": 4440,
        "estimatedOccupancyPct": 67,
        "reviewCountVsMarket": "about average",
        "marketComparableCount": 10,
        "marketMedianPricePerNight": 204.5,
        "occupancyBasis": "Review-volume proxy: this listing's 221 reviews rank at the 78th percentile among 10 comparable 1-bed listings in Austin (market median 183 reviews). Estimate, not booking data.",
        "hostType": "Superhost",
        "categoryRatings": { "cleanliness": 5, "accuracy": 5, "check-in": 5, "communication": 5, "location": 5, "value": 4.9 },
        "imageUrls": ["https://a0.muscache.com/im/pictures/hosting/Hosting-8355807/original/84cbd088-cdc9-408e-8d3f-ac46b4f36f00.jpeg"],
        "listingUrl": "https://www.airbnb.com/rooms/8355807",
        "scrapedAt": "2026-09-04T01:58:47.819Z"
    }
]

A MARKET-SUMMARY record is also written to the key-value store with median nightly price, median estimated revenue, and median estimated occupancy for each city and bedroom class in the run.

What you get vs. a market-data subscription or manual research

Task	Manually / with a paid subscription	With this Actor
Read a market's earning potential	Pay for a full market-data platform	One run, one dataset with per-listing estimates
Compare Airbnb and Vrbo supply	Two tools, two exports	Both sites in one normalized dataset
Benchmark a listing against its competition	Build the comp set by hand	reviewCountVsMarket + marketComparableCount on every row
Track a market's median revenue over time	Manual spreadsheet	Schedule the Actor, diff the MARKET-SUMMARY
Get the data into Excel / a database	Manual copy-paste	Built-in JSON / CSV / Excel + dataset API

How to use it (step by step)

1. Enter a location or start URLs. A single, well-known city name groups comparables better than a tiny neighbourhood string.
2. Set filters (dates, guests, property type, bedrooms, max price) if you want a narrower scan.
3. Set maxItems to 30–60 for a city scan — more comparables mean tighter estimates.
4. Run and export — dataset tab, MARKET-SUMMARY from the key-value store, or GET /v2/datasets/{id}/items.
5. Schedule it weekly or monthly to track how a market moves.

Pricing

Pay-per-event: a small run-start charge, then a per-listing charge for each row saved (including its estimates). Use maxItems to scope run size. Exact rates are on the Actor's Pricing tab. [PRICING TBD]

FAQ

What is the Airbnb & Vrbo Revenue and Occupancy Estimator? An Apify Actor that collects Airbnb and Vrbo listings and adds a modelled monthly revenue and occupancy estimate for each, benchmarked against comparable listings from the same run.

How accurate is the revenue estimate? It is a modelled projection from nightly price and a comparable-benchmarked occupancy proxy, not measured bookings. It is most useful for comparing listings and markets against each other.

Why is estimatedOccupancyPct sometimes null? Neither site publishes a booking calendar, and the estimate needs at least 5 same-city, same-bedroom comparables in the run. Increase maxItems or broaden the location.

Why are some fields null? The Actor never guesses. Shared rooms and hotel-style listings may have no bedroom count or nightly price.

Do I need an Airbnb or Vrbo account or API key? No.

Can I use my own search or a specific listing? Yes — put Airbnb search / room URLs or Vrbo search / property URLs in startUrls. They override location.

Is Vrbo as reliable as Airbnb? Airbnb is the primary source. Vrbo runs are slower and some come back empty when the site is uncooperative — re-run or use Airbnb.

Does it download photos? No — it collects image URLs into imageUrls.

Is scraping Airbnb and Vrbo legal? The Actor accesses only publicly visible listing data. Listings can include personal data such as host names and photos; you are responsible for handling any personal data in line with applicable privacy law and the sites' terms. Not affiliated with Airbnb or Vrbo.

My other travel scrapers on Apify

Actor	What it does
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Airbnb Room Reviews Scraper	Reviews, ratings, and host replies from Airbnb listings
Booking.com Listings Scraper	Hotel prices, ratings, and room types from Booking.com
Booking.com Review Scraper	Guest review text and scores from Booking.com
Expedia Hotel Scraper	Hotel listings and per-room rates from Expedia
Expedia Review Scraper	Traveler reviews and sentiment from Expedia
Agoda Hotel Scraper	Hotel details and live city pricing from Agoda
Agoda Review Scraper	Guest reviews and stay details from Agoda
Trip.com Hotel Scraper	Hotel prices, ratings, and best room rate from Trip.com
Trip.com Review Scraper	Guest reviews and stay details from Trip.com
Google Hotels Scraper	Hotel prices, ratings, and coordinates from Google Hotels
TripAdvisor Hotel Scraper	Hotel details plus per-OTA room rates from TripAdvisor
TripAdvisor Review Scraper	Full guest reviews and sub-ratings from TripAdvisor

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Independent tool, not affiliated with or endorsed by Airbnb or Vrbo. Accesses only publicly available data. Report bugs or request features on the Issues tab.