Property data, Global
Short-Term Rental Data
Short-term rental listings from the major platforms with occupancy, rate, revenue, reviews and host detail, matched to the parcel and owner in the US.
Short-term rental data describes the vacation rental supply on the major platforms: which properties are listed, what they charge, how often they are booked, what guests say and who operates them. Ours covers active and historical listings worldwide with performance metrics estimated from observed calendars and prices, and in the United States matches listings to the parcel so you can see the owner behind the host.
Investors use it to underwrite a purchase against real neighborhood performance rather than a platform's projection. Municipalities and their vendors use it to find unregistered rentals and enforce occupancy taxes. Property managers, insurers, cleaning and smart-lock companies use the host and owner match to prospect. Hospitality analysts use the aggregate to track supply and rate by market.
Delivery is a monthly file by market, country or the full set, with daily updates available for enforcement programs that need to catch new listings quickly.
Sample rows
Illustrative and synthetic. Real samples for your geography are a reply away.
| listing_id | platform | city | country | property_type | bedrooms | adr | occupancy_90d | revenue_ltm | reviews | host_id | property_id |
|---|---|---|---|---|---|---|---|---|---|---|---|
| S22••• | Airbnb | Nashville | US | Entire home | 4 | $412 | 68% | $9•,••• | 214 | H5••• | P8891••• |
| S07••• | Vrbo | Lisbon | PT | Apartment | 2 | €138 | 74% | €3•,••• | 97 | H1••• |
Schema
| Field | Type | Notes |
|---|---|---|
| listing_id | identifier | non-personal |
| platform | text | non-personal |
| city | text | non-personal |
| country | number | non-personal |
| property_type | text | non-personal |
| bedrooms | number | non-personal |
| adr | currency | non-personal |
| occupancy_90d | number | non-personal |
| revenue_ltm | currency | non-personal |
| reviews | number | non-personal |
| host_id | identifier | non-personal |
| property_id | identifier | non-personal |
Abridged. The full data dictionary ships with every sample and lists every field, its fill rate and its source.
Used for
- STR investment underwriting on real neighborhood performance
- Municipal registration compliance and occupancy tax enforcement
- Host and owner prospecting for management, insurance and services
- Tourism and hospitality supply analytics
- Vacation rental market research
How it is built
Listings are observed continuously on the platforms. Calendar availability and nightly price are sampled repeatedly so that occupancy, average daily rate and revenue can be estimated from what was actually booked and charged, not from a listing's stated rate. Reviews and ratings are counted per listing and per host.
In the US, listings are matched to parcels on address fragments, photos and geography, and each match carries a confidence tier. Where the match is confident we attach the assessor owner, so an LLC-held rental can be traced to its mailing address.
Aggregation to market, ZIP and city level is included: listing counts, active share, median ADR and occupancy, and the change against the prior period.
Questions we get
What does short-term rental data aggregation mean?
Combining the listings across platforms, removing the same property listed twice, and rolling the result up to a market so that supply, rate and occupancy can be tracked over time. The file includes both the listing rows and the aggregates.
Is the owner match reliable?
It is probabilistic, built from address fragments, photos, geography and host name, and every row carries a confidence tier. Enforcement programs typically act on the high tier and verify the rest.
Which countries are covered?
Global. Depth is highest in North America, Western Europe, Australia and the major Asian and Latin American cities. Parcel and owner matching is US only.
Can we get historical data for a backtest?
Yes. Listing history with the observation dates is available so a market's supply and rate can be reconstructed as of a past date.
Is this the same as vacation rental property data?
Vacation rental property data usually means the real estate, and short-term rental data means the listings and their performance. We supply both and join them on the parcel in the US.