Airbnb Estimator: Project Revenue for Any Short-Term Rental

Enter any address to project annual revenue, occupancy rate, and average daily rate from comparable listings. Free, no account needed.

Penthouse in Seattle

Penthouse in Seattle

2 bed, 2 bath

$94.2k

Revenue

84%

Occupancy

$307

Daily Rate

Farmhouse in Hudson Valley

Farmhouse in Hudson Valley

3 bed, 2 bath

$68.7k

Revenue

62%

Occupancy

$298

Daily Rate

Bungalow in Charleston

Bungalow in Charleston

2 bed, 1 bath

$54.1k

Revenue

71%

Occupancy

$208

Daily Rate

Bedrooms2
Bathrooms2
Sleeps4

Scottsdale, AZ

Entire home

$66.2k

Revenue

74%

Occupancy

$245

Daily Rate

Gatlinburg, TN

Entire home

$51.8k

Revenue

69%

Occupancy

$206

Daily Rate

San Diego, CA

Entire home

$87.3k

Revenue

80%

Occupancy

$299

Daily Rate

What is an Airbnb estimator?

An Airbnb estimator projects a property's short-term rental revenue, average daily rate, and occupancy by analyzing comparable listings nearby. You enter an address, and the tool pulls performance data from similar properties in the area to forecast what yours could earn.

The comps come from Airbnb and Vrbo listings. The estimator factors in property type, bedroom count, location density, and seasonal demand to produce a revenue range. That range is a starting point for evaluating a market or pressure-testing an acquisition before you commit capital.

Try the estimator

How does the Airbnb estimator work?

Three steps. No account, no payment info. Enter an address and get a revenue projection based on what comparable listings earn in that area.

1

Enter your address

Type any US street address plus bedrooms, bathrooms, and guest count. The estimator uses these details to find the closest comps.

2

Analyze the comps

The tool finds nearby listings with a similar size and type. Revenue, occupancy, and daily rate are derived from their calendar data, weighted by how closely they match your property.

3

Review your estimates

Annual revenue, average daily rate, and occupancy rate. Use the output to compare markets, evaluate a purchase, or benchmark a property you already operate.

Why use an Airbnb estimator?

Before you make an offer, sign a lease, or pitch a property owner, you need a baseline revenue figure grounded in local data. An estimator gives you that baseline in under a minute.

Market research. Compare revenue potential across cities and neighborhoods before narrowing your search to a single zip code.
Pre-purchase analysis. Run the address through the estimator alongside your mortgage numbers. If projected revenue does not cover debt service, you know before the appraisal.
Portfolio benchmarking. Check whether your existing properties perform above or below what the comp set suggests they should.
Lender presentations. Include comp-based projections in your loan package so underwriters can see the revenue context for the market.

Revenue estimate

$66,200

Annual projected revenue

Occupancy

74%

Avg Daily Rate

$245

Comps Found

19

This is a projection. Want the number that actually cleared your bank?

What estimators get right, and what they miss

Every address-based estimator infers demand from publicly visible calendar data. That is useful for market research. It is not a P&L.

Why estimates differ between tools

One tool counts cleaning fees inside revenue. Another strips them. One reads a two-week block as demand, another discounts it. Neither sees the actual payout, and the spread between them on the same property routinely exceeds 30%.

What estimates miss: expenses

Revenue is the top line. Platform fees, cleaning, utilities, maintenance, management, and debt service sit between gross revenue and your bank balance. On a financed property the gap is often 60% or more of the gross number.

Projected vs. actual: the gap

Blocked calendars look identical to bookings from the outside. Renovations, owner stays, and seasonal shutdowns all inflate projected demand. The only way to close the gap between projected and actual is to reconcile against deposits that cleared.

Beyond estimates

The estimator tells you what it could earn. MagicBNB tells you what it actually did.

Connect your PMS and bank account. Every deposit gets matched against every payout. You get per-property financials from money that moved, not money that was estimated.

Bank-Reconciled P&L

Revenue rebuilt from deposits that cleared your bank, matched against payout records from your PMS. Per property, per month.

Smart Transaction Ledger

Every bank transaction auto-categorized and matched to the right property. No manual tagging, no spreadsheet reconciliation.

Channel Breakdown

See which platform (Airbnb, Vrbo, direct) actually pays more after fees. Stop guessing which channel to push.

Deal Analyzer

Run the numbers on a new property before you commit. Uses your actual portfolio data as the baseline, not market averages.

Milo AI Manager

Ask a question in plain English and get the answer from your own financial data. "Which property had the highest margin last quarter?"

Owner Statements

Branded PDF statements generated in one click. Send them to property owners or keep them for your own records.

Frequently asked questions

How accurate is an Airbnb estimator?

Every address-based estimator infers revenue from publicly visible calendar data on nearby listings. It assumes a blocked night is a booked night, which inflates the number whenever an owner blocks dates for personal use, renovations, or seasonal shutdowns. The result is a reasonable starting point for a market you have never operated in, not a forecast you should build a pro forma around.

Where does the estimator pull its data?

It reads listing performance from Airbnb and Vrbo, including nightly rate, calendar availability, review frequency, property type, and bedroom count. The comps are weighted by proximity and similarity to the address you enter. No proprietary booking data is involved because none is publicly available.

Why do different estimators give different numbers for the same address?

Each tool interprets calendar data differently. One counts cleaning fees inside revenue, another strips them out. One treats a two-week block as demand, another discounts it. Neither sees the actual payout. The spread between tools on a single property is routinely 30% or more.

Does it cover every US market?

The estimator works for any US address with enough active short-term rental listings nearby to build a comp set. Rural areas with fewer than five comparable listings will return wider ranges or no result at all. Dense urban and resort markets produce the tightest estimates.

Can I use this estimate in a lender presentation?

You can, but most lenders discount projections built from public calendar scrapes. What they want is trailing twelve-month actual revenue from bank statements or a PMS export. MagicBNB produces that reconciled data from deposits that actually cleared, which is what underwriters treat as reliable.

What is the difference between an estimator and MagicBNB?

The estimator infers what a property could earn based on what similar listings appear to earn. MagicBNB connects to your PMS and bank accounts, matches every deposit against every payout, and shows what each property actually earned and kept. One is a projection. The other is a ledger.

Estimates are a starting point. Real data is the finish line.

MagicBNB connects to your bank and PMS to show what properties actually earn. 14 days free.

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