Airbnb Revenue & Occupancy Calculator (AirDNA Alternative)

Estimate the earning power of any Airbnb market in minutes. Give it a city and, for every listing, it returns occupancy %, ADR (average nightly rate), estimated monthly & annual revenue, RevPAR, and booked vs available nights — the AirDNA-style analysis, at a fraction of the cost.

🏠 Part of the Airbnb suite — built alongside the Airbnb Search Scraper (find listings by city) and the Airbnb Listing Details Scraper (full property data).

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What you get per listing

Metric	Meaning
Occupancy %	Share of forward nights that are unavailable (booked or host-blocked) — over the next 30 / 60 / 90 / 365 days
ADR	Average nightly rate (the listing's price per night)
Estimated revenue	Monthly & annual projection = ADR × forward occupancy
RevPAR	Revenue per available night (ADR × occupancy)
Booked / available nights	Raw nightly counts across the 12-month forward calendar
Typical min nights	Median minimum-stay requirement
Plus	bedrooms, beds, baths, capacity, rating, reviews, superhost, coordinates

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Why use this

• 💰 A real AirDNA alternative — AirDNA/AllTheRooms charge $250–500+/market/month. Here you pay per listing analyzed (pennies) and pull the same core signals on demand.
• 📈 Built for investors & property managers — size up a market, compare neighborhoods, validate a purchase, or benchmark your own listing against competitors.
• ✅ Reliable by design — reads Airbnb's own server data with a warmed residential session (search SSR for pricing + the PdpAvailabilityCalendar for 12 months of day-by-day availability). No fragile DOM scraping.
• 🔌 Pipeline-ready — stable, null-safe JSON for n8n / Make / Zapier / your database.

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Quick start

1. Enter a City / location — e.g. Austin, TX, Lisbon, Portugal, Miami, FL.
2. Set Max listings to analyze (start with 20 to sample a market).
3. Leave the proxy on the default (Apify Residential, US).
4. Click Start. Each listing becomes one row of revenue metrics.

Optional filters: min bedrooms, min/max nightly price, property type.

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Input

Field	Type	Description
location	string (required)	City/area to analyze, e.g. "Austin, TX".
maxResults	integer	How many listings to analyze (default 20). Each is one charged result.
currency	string	Currency for ADR & revenue (default USD).
minBedrooms / priceMin / priceMax / propertyType	—	Optional market filters.
webhookUrl	string	Optional. POSTs the full result set when the run finishes.
proxyConfiguration	object	Defaults to Apify Residential (US). Recommended to leave as-is.

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Output (example)

{
  "listingId": "1516509370603548960",
  "name": "Luxe Rainey DTown Oasis | Private Pool + Hot Tub",
  "url": "https://www.airbnb.com/rooms/1516509370603548960",
  "propertyType": "Entire home",
  "location": "Austin, TX",
  "coordinates": { "lat": 30.25642, "lng": -97.73184 },
  "bedrooms": 3, "beds": 7, "bathrooms": 3.5, "personCapacity": 14,
  "rating": 4.95, "reviewsCount": 37, "isSuperhost": true,
  "adr": 424.2, "currency": "USD",
  "occupancyPct": { "d30": 73.3, "d60": 73.3, "d90": 77.8, "d365": 46.5 },
  "occupancyUsedPct": 77.8,
  "estimatedRevenueMonthly": 9901,
  "estimatedRevenueAnnual": 120460,
  "revPAR": 330.03,
  "bookedNights": 166, "availableNights": 191,
  "calendarDaysAnalyzed": 357, "typicalMinNights": 1,
  "nextAvailableDate": "2026-07-14",
  "scrapedAt": "2026-06-09T04:58:00.000Z"
}

Full sample: docs/example-output-revenue.json. All fields are always present (null when unavailable).

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Methodology & accuracy

• Occupancy = share of forward calendar nights marked unavailable. A night is unavailable when it's booked or blocked by the host, so occupancy is the standard "booked-or-blocked" proxy used across STR analytics — treat it as a strong estimate, not a guaranteed booked rate.
• Representative occupancy for revenue projection is the 90-day forward figure (more stable than 30-day, less distorted than 365-day, where far-future months are often simply not yet opened). All four windows are returned so you can recompute with your own assumptions.
• ADR is the listing's current nightly rate from search. Estimated revenue = ADR × occupancy. These are estimates for market research, not financial guarantees.

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Run via API

curl -X POST "https://api.apify.com/v2/acts/malikgen~airbnb-revenue-calculator/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"location":"Austin, TX","maxResults":20}'

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FAQ

Is this as accurate as AirDNA? It uses the same fundamental signals (forward availability + nightly rate) that power STR estimates, on demand and far cheaper. AirDNA adds historical models; this gives you live, transparent inputs you can verify and recompute.

Why residential proxy? Airbnb is Cloudflare-protected and the availability calendar only loads in a warmed browser session. Leave the default proxy on.

Can I analyze specific listings instead of a city? This version is market-first (by city). Need full property detail for specific URLs? Use the Airbnb Listing Details Scraper.

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🏠 The Airbnb suite

Actor	Use it for
Airbnb Search Scraper	Discover listings by city — price/night, rating, coordinates, superhost.
Airbnb Listing Details Scraper	Full property detail from room URLs — description, amenities, host, photos.
Airbnb Revenue & Occupancy Calculator (this actor)	Occupancy %, ADR, estimated revenue, RevPAR — the AirDNA alternative.
Airbnb Reviews Scraper	Reviews + sentiment + per-listing insights, by city / URL / ID.

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Changelog

• 0.1 — Initial release. City → per-listing occupancy (30/60/90/365-day forward), ADR, estimated monthly/annual revenue, RevPAR, booked/available nights, via search SSR + PdpAvailabilityCalendar on a warmed residential session.

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Not affiliated with, endorsed by, or sponsored by Airbnb or AirDNA. Produces estimates from publicly available data for market research. Respect Airbnb's Terms of Service and applicable laws.