Short-Term Rental Market Occupancy Estimator (Airbnb data)
Pricing
Pay per event
Short-Term Rental Market Occupancy Estimator (Airbnb data)
Estimate Airbnb occupancy for any city or area: samples listings, reads calendars, returns monthly median occupancy % and median nightly price. STR market data.
Pricing
Pay per event
Rating
0.0
(0)
Developer
Bogdan Glisici
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 hours ago
Last modified
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Estimate Airbnb occupancy for a whole city or area in one run. Enter a city (for example "Lisbon, Portugal") or a map bounding box. The actor samples active listings, reads each listing's public availability calendar, and returns the market occupancy rate per month (median, mean, 25th and 75th percentile) and the median nightly price. It's quick STR market data for investors, hosts and analysts, with no login or coding needed.
Keywords: airbnb occupancy rate by city, STR market data, short-term rental market analysis, vacation rental occupancy, airbnb market research, average daily rate.
Use cases
- Before buying an investment property: see how busy the market really is for the next 1 to 6 months.
- Comparing cities or neighbourhoods: run the same input for several areas, or draw bounding boxes.
- Hosts and property managers: benchmark your own occupancy against the local median.
- Market reports and dashboards: schedule weekly runs and track booking pace.
Input
{ "location": "Brasov, Romania", "sampleSize": 36, "monthsAhead": 3 }
Or use a bounding box instead: "boundingBox": {"neLat":44.46,"neLng":26.12,"swLat":44.42,"swLng":26.07}.
Output
- Market summary, in the key-value store as
MARKET_SUMMARY(JSON) andMARKET_SUMMARY_CSV(CSV). Both are linked on the run's Output tab:
| month | listingsCounted | medianOccupancyPct | p25 | p75 | medianNightlyPrice |
|---|---|---|---|---|---|
| 2026-10 | 10 | 73.7 | 55.2 | 78.9 | 123.07 USD |
| 2026-11 | 10 | 20.0 | 17.5 | 36.7 | 123.07 USD |
(Real test results for Brașov, 13 Oct 2026, 10 listings sampled.)
- Sampled listings (dataset): one row per listing per month with listingId, name, lat/lng, rating, nightlyPrice, occupancyPct and blockedNights.
How occupancy is estimated
Occupancy = blocked nights ÷ nights counted. Airbnb's public calendar does not separate booked nights from nights the host blocked, so treat it as an upper-bound estimate. Past days and months beyond a host's booking window are excluded. The nightly price is the rate shown in search for Airbnb's default sample dates.
Pricing
$0.03 per listing sampled, covering all requested months. A 36-listing city snapshot costs about $1.08.
Tips
- Use a sample of 30 to 100 listings for stable medians.
- Use the Apify Residential proxy if a run reports a bot check.
- For per-listing calendars, see Vacation Rental Calendar & Occupancy by nimble_levi.
Airbnb is a trademark of Airbnb, Inc. This tool is independent and not affiliated with Airbnb.