# Airbnb Vrbo Revenue Estimator (`mrdoe/airbnb-vrbo-revenue-estimator`) Actor
Get estimated monthly revenue and occupancy for Airbnb and Vrbo listings, benchmarked against comparable rentals in the same city and bedroom class. One clean row per listing - price, beds, rating, host - plus a per-market price summary. Built for short-term-rental investors.
- **URL**: https://apify.com/mrdoe/airbnb-vrbo-revenue-estimator.md
- **Developed by:** [MrDoe](https://apify.com/mrdoe) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.90 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event
## What's an Apify Actor?
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For usage examples, see the [API](#api) section below.
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# README
## 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 |
How the revenue and occupancy estimate works
1. Listings from the run are grouped by **city + bedroom class** (studio, 1, 2, 3, 4, 5+).
2. For any group with at least **5** listings, each listing's `reviewCount` is ranked against the rest of the group.
3. That percentile is mapped to an occupancy rate along a fixed curve anchored to widely cited short-term-rental norms (roughly: bottom of market ≈ 30%, median ≈ 52%, top performers ≈ 75–85%), clamped to 20–90%.
4. `estimatedMonthlyRevenue = pricePerNight × 30.4 × (estimatedOccupancyPct ÷ 100)`.
5. Groups with fewer than 5 comparables get `null` for both estimates, and `occupancyBasis` explains why — raise `maxItems` or search a broader area to fix it.
This is an **estimate from a demand proxy**, not booking data. Use it to compare listings and markets, not as a guaranteed earnings figure.
Advanced input options
| Field | Type | Default | Notes |
| --- | --- | --- | --- |
| `location` | string | `Austin, TX` | City, region, or address to search on Airbnb. One of `location` / `startUrls` is needed. |
| `checkIn` / `checkOut` | string (date) | `2026-10-15` / `2026-10-18` | `YYYY-MM-DD`. Narrows to available listings and dates the price. |
| `guests` | integer | `2` | Filter by guest count. |
| `startUrls` | array | — | Airbnb search / room URLs or Vrbo search / property URLs. Overrides `location`. |
| `propertyType` | string | — | Restrict to one type (house, apartment, condo, townhouse, cabin, villa, cottage, loft, guesthouse). |
| `minBedrooms` | integer | — | Keep only listings with at least this many bedrooms. |
| `maxPrice` | integer | — | Keep only listings at or below this nightly price. |
| `maxItems` | integer | `15` | Listings to collect per start URL. |
| `enrichVrboDetails` | boolean | `false` | Also open the first few Vrbo property pages for extra detail. Slower; no effect on Airbnb. |
| `useCache` | boolean | `false` | Reuse an identical search run from the last 12 hours instead of collecting again. |
| `proxyConfiguration` | object (required) | Apify Proxy | Vrbo runs are upgraded to residential automatically. |
**Notes.** Prices are the amounts the sites display — cleaning fees, taxes, and platform service fees are not itemised. The Actor scans up to 8 result pages per start URL. The run log ends with a short self-check (listings collected, how many have price / bedrooms / a revenue estimate).