Read the market your competitors are writing
A market instrument that measures how Airbnb hosts are pricing across an entire market, day by day. Pricing is one application. Understanding the market is the point.
- The pricing decision of thousands of hosts summarized into a single curve
- What hosts are asking today, not what guests paid last month. Live calendar prices from every listing around you, day by day
What you're looking at
Most market data shows you the past. This shows you the market as it stands today.
What other data shows
What guests paid
Booked nights from weeks or months ago, averaged into one number. A booked night's price disappears from Airbnb forever, so this is always a record of the past, and it cannot tell you whether those prices were good ones or just the last rooms left.
What PriceDove shows
What hosts are asking, today
The live prices set by every host around you, right now. This is what a guest opening Airbnb today actually sees, and what you are actually competing against. The market is the sum of your neighbours' decisions.
How it works
One question per step. The curve builds as you go.
The method
PriceDove's mission is to represent the Airbnb market in its most faithful form. The aim of the project is to get a lens into how hosts set their prices, at scale.
A villa and a studio contribute the same way. 3,000 to 5,000 listings fit in one estimation without bedroom filters deciding what you are allowed to see. The instrument reads the shape: where the market sits on quiet nights, how high it climbs on busy ones, and everything in between. It preserves the structure instead of flattening it.
Noisy and rare listings naturally fall out. What you see is the pricing decision of the most active Airbnb hosts, the ones that set their prices the most frequently. Whatever happens, you always follow the trend.
Where your neighbourhood's sample runs thin, the market curve stands in for those days. The exported curve is always complete and always says which source each month came from.
Why compsets got small
The hotel industry invented the traditional compset: a small set of comparable properties, priced using averages and percentiles. That worked when the market was a few hundred hotels in a city.
The data changed. Airbnb alone has over 150,000 listings in France. It is not random that vendors today cap their compsets at 250 listings and lean on filters (bedrooms, rooms, location) because how would you ever compare a €100/night property with a €500/night one?
PriceDove never filters. It reads all of them.
Demo
See the full instrument on real market data.
Request a city’s historical data
You receive a link with historical data for a city of your choice. Only an email address is needed so we can get back to you.
Request a demoA personalised demo
For a more personalised demo with current data, tell us where your property is (an address, or the city and neighbourhood) and we prepare it for you.
Request a personalised demoPriceDove reads only listed prices: no access to your listing or your account is needed. Demo access terms may change.
Pricing
Priced per customer
- Each pin opens every listing within 2 km of it, in its market, refreshed daily
- Enter Airbnb listings or street addresses to place your pins
- One pin or a whole portfolio: tell us what you operate and we come back by email with a quote
Questions
How is this different from other STR analytics tools?
Conventional tools cap compsets at a few dozen filtered listings and flatten them into an average. PriceDove reads every listing in your neighbourhood, typically 1,500+, from live Airbnb calendars, refreshed daily.
Why do you say "neighbourhood" and not "compset"?
Because a compset (competitive set) is a selection: a few dozen listings, hand picked or filtered, meant to stand in for your competitors. PriceDove selects nothing. Your neighbourhood is every listing within the radius you choose, typically 1,500+, with no filter on property type or bedroom count. It is not a bigger compset. It is the market around you, as it is.
Can I see what my competitors are charging?
Yes. Your neighbourhood is not a hand picked set of competitors, it is every listing within the radius you choose. The minimum is 500 listings, the typical neighbourhood holds 1,500+. You see their aggregate pricing curve daily, with the population count visible at every step. Individual listings are never isolated.
I only have a one bedroom house. Why include large villas in my analysis?
Because the data shows they price the same way. The most active hosts, regardless of property type, converge on remarkably similar pricing patterns. What separates hosts is not the size of their property but how aggressively or conservatively they price. The strategy clusters in PriceDove separate that behaviour, not bedroom count. No listing is excluded by a filter and no listing dominates the curve.
What cities and regions are covered?
74 regions across Italy, France, Spain, and Portugal with full coverage. Includes Paris, Madrid, Barcelona, Lisbon, all Italian regions, Algarve, Balearic Islands, Andalucía, Provence Alpes Côte d'Azur, and more. New countries and regions are added regularly.
Do you show what guests paid, or what hosts are asking?
What hosts are asking, the current, live prices on every calendar around you. Most market data is built from past bookings: what guests paid weeks or months ago, averaged together. But a booked night's price disappears from Airbnb forever, so that data is always the past. PriceDove measures the present: the prices you are actually competing against today.
Is the data fresh or historical?
The paid product uses live Airbnb calendar prices, refreshed daily. The free demos run on frozen historical snapshots so you can explore the full instrument without an account.
Does this replace my dynamic pricing tool?
Yes. The curve PriceDove produces is your price, built from your real neighbourhood, refreshed daily. You can still feed it into another tool if you like, but the curve is the decision, and this one is built from thousands of listings instead of a few dozen.