The short-term rental research tools worth using in 2026, compared

There is no single best short-term rental analytics tool, which is the least satisfying and most accurate thing anyone can tell you. There are tools built for market breadth, tools built for deal modeling, and tools built to feed an acquisition funnel. Picking the wrong category wastes more time than picking the wrong product inside it.

Here is the landscape as it stands in 2026, and where we fit in it.

AirDNA

The depth benchmark. AirDNA covers ADR, occupancy, RevPAR and seasonal demand across more than 120,000 markets worldwide, with historical data few competitors match. Pricing starts around $12 a month for a single neighbourhood or city and climbs to $39 to $199 or more for comp sets, custom dashboards and API access.

Best for: analysts and people evaluating many markets at once. The trade is that breadth is the product. You get the data and you do the interpreting.

Rabbu

Primarily a marketplace for buying and selling short-term rental properties, with a genuinely useful free calculator attached. Enter any US address and it returns month-by-month revenue estimates, ADR, occupancy, RevPAN and a list of comparables, at no cost.

Best for: a fast first read on a specific address. The trade is that the analytics exist to route you into an acquisition funnel, and market context is thin.

BNBCalc

Built for the job AirDNA does not do well: deal-level financial modeling. It is designed to show what a property actually returns after expenses, rather than what it grosses.

Best for: the stage after you have a shortlist and need to model a specific purchase properly.

Mashvisor

Sits close to Rabbu in investor underwriting, with the distinguishing feature that it carries long-term rental data alongside short-term metrics. That matters if you want a floor: what does this house earn if the short-term strategy stops working.

AirROI and Airbtics

AirROI is the strongest free tier if cost is the binding constraint. Airbtics is the one to reach for when your market is outside the US, where several of the domestic tools thin out quickly.

Key Data

Benchmarks sourced from property managers rather than scraped from listings. That makes it the most credible option for professional operators comparing themselves against a real peer set, and overkill for someone buying their first property.

Spreadsheets

Still undefeated for control, still limited by the fact that a spreadsheet only knows what you typed into it. Every assumption is yours, including the wrong ones, and nobody goes back and updates the comps.

Where GoDoor fits

We are not trying to out-cover AirDNA and we do not want to be a free calculator attached to a brokerage. We built the thing that was missing in between: a tool that grades a property against the market you are actually buying in, and then keeps going until you have a decision.

• Every metric is scored 1 to 10 against a benchmark you choose, market, state or national, and the comparison moves when you change it. A $245 nightly rate is not good or bad in the abstract.
• Comps are openable. Each one is a real rental with its own photos, amenities, seasonality and numbers, not a row in a table.
• Amenity value is attached to the market. A hot tub is worth roughly $3,600 a year in one place and half that in another, and you can model the upgrade before you buy.
• The regulatory read sits next to the numbers rather than in a separate research task you might skip.
• Financing is part of the flow, because the deal is not done when the analysis is.

How to choose without overthinking it

Match the tool to the stage. Screening many markets is a breadth problem. Judging one property is a context problem. Committing capital is a modeling problem. Most people fail not because they picked a bad tool but because they used a breadth tool to answer a context question, and concluded the asset class was confusing.