Airbnb Revenue, Occupancy & ROI Analyzer | $5/1K avatar

Airbnb Revenue, Occupancy & ROI Analyzer | $5/1K

Pricing

from $5.00 / 1,000 property analyses

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Airbnb Revenue, Occupancy & ROI Analyzer | $5/1K

Airbnb Revenue, Occupancy & ROI Analyzer | $5/1K

Analyze Airbnb listings or discover market comparables, then estimate weekly, monthly and annual revenue, occupancy, ADR, RevPAR, NOI, cap rate, cash-on-cash ROI and opportunity ranking.

Pricing

from $5.00 / 1,000 property analyses

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Apivault Labs

Apivault Labs

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Airbnb Revenue, Occupancy & ROI Analyzer

Airbnb revenue, occupancy and ROI analytics

Turn public Airbnb forward-calendar signals and your investment assumptions into a property-level short-term-rental underwriting report. Analyze supplied listings or discover comparable properties for a city or neighborhood, then estimate occupancy, ADR, RevPAR, revenue, expenses, NOI, cap rate, cash-on-cash return, annual cash flow, payback and break-even occupancy — without an Airbnb login.

Two analysis modes

  • listing — analyze specific Airbnb listing URLs or room IDs. Duplicate targets are removed before any network work or billing.
  • market — enter searchLocation such as Austin, Texas; the Actor discovers public comparable listings, analyzes their calendars and returns market medians plus a ranked opportunity list in SUMMARY.

What you get

One clean analysis row per successful Airbnb listing:

  • Forward available and blocked nights for 1–12 months
  • Blocked-night rate and an adjustable occupancy estimate
  • Average daily rate (ADR) from published forward prices or your override
  • RevPAR and estimated annual booked nights
  • Low, base and high annual gross-revenue scenarios
  • Week-by-week and month-by-month occupancy and revenue projections
  • Conservative, base and optimistic sensitivity scenarios for ADR, occupancy, NOI and ROI
  • Optional changes versus previous snapshots with monitoring alerts
  • Optional separate weekly/monthly Dataset rows for CSV and spreadsheet workflows
  • Portfolio and comparable-market medians in the SUMMARY record
  • Operating expenses and net operating income (NOI)
  • Cap rate, cash-on-cash return and annual cash flow
  • Break-even occupancy and estimated payback period
  • Confidence score, methodology and explicit warnings

Why the occupancy adjustment matters

An unavailable Airbnb calendar date is not automatically a guest booking. It may be booked, blocked by the host, reserved for maintenance or unavailable because of another restriction.

This Actor reports the public blockedNightRatePercent separately and applies your bookingShareOfBlockedPercent assumption to estimate occupancy. The default assumes that 75% of blocked nights represent bookings. Change it to match your market knowledge and run conservative, base and optimistic scenarios.

Example input

{
"mode": "listing",
"listingUrls": [
"https://www.airbnb.com/rooms/910250"
],
"calendarMonths": 12,
"currency": "USD",
"bookingShareOfBlockedPercent": 75,
"averageStayNights": 3,
"platformFeePercent": 3,
"managementFeePercent": 15,
"maintenancePercent": 5,
"utilitiesMonthly": 300,
"insuranceAnnual": 1500,
"propertyTaxAnnual": 6000,
"mortgageMonthly": 2500,
"purchasePrice": 500000,
"downPaymentPercent": 20,
"closingCosts": 10000,
"furnishingCosts": 20000
}

Market example:

{
"mode": "market",
"searchLocation": "Austin, Texas",
"maxComparableListings": 10,
"searchBedrooms": 1,
"searchGuests": 2,
"calendarMonths": 6,
"currency": "USD"
}

Revenue methodology

The model is transparent and adjustable:

  1. Public forward calendar dates are separated into available and blocked nights.
  2. Estimated booked nights = blocked nights × your booking-share assumption.
  3. ADR priority is: your nightlyRateOverride, published calendar price, a live public booking quote, then a public market-search price.
  4. Gross revenue = estimated booked nights × ADR + optional cleaning-fee revenue.
  5. weeklyProjections groups observed dates into ISO Monday–Sunday weeks; boundary weeks can contain fewer than seven observed days.
  6. When fewer than 12 months are analyzed, the selected window is annualized. The output warns that a short window may not capture full seasonality.
  7. Conservative and optimistic scenarios vary booking share by 15 percentage points and ADR by 10%.

These are directional investment estimates, not Airbnb host payout data or verified reservations.

ROI methodology

  • NOI = gross revenue − operating expenses, before mortgage debt service.
  • Cap rate = NOI ÷ purchase price.
  • Cash investment = down payment + closing costs + furnishing/startup costs.
  • Annual cash flow = NOI − annual mortgage payments.
  • Cash-on-cash return = annual cash flow ÷ cash investment.
  • Break-even occupancy covers fixed operating expenses and debt service after variable costs.

Set any expense to zero when it does not apply. Explicit zero values are preserved.

Inputs that materially affect the result

InputEffect
calendarMonthsLonger windows improve seasonality coverage
nightlyRateOverrideReplaces published forward-calendar ADR
bookingShareOfBlockedPercentConverts blocked nights into modeled booked nights
averageStayNightsControls estimated reservation count and cleaning economics
Operating expensesAffect NOI, cap rate and break-even occupancy
Purchase and financing inputsEnable acquisition returns and cash flow

Portfolio, CSV and monitoring output

SUMMARY includes median occupancy, ADR, annual revenue and NOI across all delivered properties. Market mode also includes up to ten topOpportunities; the transparent score combines estimated occupancy (45%), confidence (25%) and revenue relative to the strongest analyzed comparable (30%).

Set emitProjectionRows: true to append weekly_projection and monthly_projection rows after each main property_analysis row. Projection rows are not separate billable property events.

To compare a new run with an older export, pass selected prior results through previousSnapshots. Matching listings receive changesSincePrevious with occupancy-point, ADR and annual-revenue deltas plus alerts for declines of at least 10% or 10 percentage points.

Reliability and billing safeguards

  • Inputs are validated before network work starts.
  • Duplicate listing IDs are removed before requests and charging.
  • Each listing has bounded retries and the complete run has a hard deadline.
  • Results are delivered progressively.
  • A failed, removed or unavailable listing is written to FAILED_INPUTS and is not charged as a successful property analysis.
  • Pay-per-result charging occurs only after an analysis is delivered to the Dataset.
  • Residential proxy is recommended for public Airbnb calendar access.

Pricing

Pay per successfully delivered property analysis, from $5 per 1,000 results on paid Apify plans. Platform compute, storage and proxy traffic are paid by the run owner.

Responsible use

This Actor uses public listing signals and is not affiliated with or endorsed by Airbnb. Use it for lawful research and underwriting, respect applicable laws and platform terms, and independently verify financial assumptions before purchasing or operating a property.