STR Market Analysis
GET3 creditsComplete UK short-term-rental market intelligence — ADR, occupancy, RevPAR, 24 months of historical data, supply, ratings, amenities, breakdowns, demand, grade.
Full short-term-rental market analysis for any UK location — postcode, outcode, lat+lng+radius, or polygon.
Built from continuously-refreshed listing-level Airbnb + Vrbo data with 24 months of history at the listing level.
UK-wide SA intelligence at postcode granularity, billed per-call — roughly £0.02 per area snapshot.
Includes a letter-grade market score, 24 months of listing-level history, and every breakdown (bedrooms, listing type, price tier) in one call. Nothing else in the UK market bundles this as a callable REST API.
~£0.02 per call, UK-wide, postcode-granular
24 months of listing-level history with YoY revenue change per month
Headline metrics — ADR, occupancy %, RevPAR, monthly and annual revenue, active listings
Breakdowns by bedrooms / listing type / price tier without extra calls
Letter-grade (A–F) market score with strongest / weakest dimensions
Ratings + amenity prevalence for all listings in the area
Supply growth and demand signals (booked vs available nights, lead time, length of stay)
Full postcode or sector.
District (e.g. BA1).
Radius up to 5 km.
"lng,lat lng,lat …" (≥3 pairs).
entire_home | private_room | shared_room.
Exact bedroom count.
Minimum.
Maximum.
house | apartment.
Floor on guest rating (e.g. 4.0).
Budget | Economy | Midscale | Upscale | Luxury.
One or more of: summary, historical, supply, ratings, amenities, by_bedrooms, by_listing_type, by_price_tier, demand, grade. Default: all.
Location label.
"England" | "Wales" | "Scotland".
Always "GBP".
{ adr, occupancy_pct, revpar, revenue_pcm, revenue_annual, active_listings }.
Array of 24 months × { month, adr, occupancy_pct, revenue_pcm, revpar, yoy_revenue_change }.
{ active_listings, yoy_growth_pct, new_listings_30d, blocked_listings }.
{ overall_avg, count_with_rating, cleanliness, accuracy, communication, location, check_in, value }.
Object of {*_pct} floats (wifi, kitchen, washing_machine, parking, …).
Array of { bedrooms, listings, adr, occupancy_pct, revenue_pcm }.
Array of { listing_type, listings, adr, occupancy_pct }.
Array of { tier, listings, adr, occupancy_pct, revenue_pcm }.
{ booked_nights_30d, available_nights_30d, lead_time_avg_days, length_of_stay_avg }.
{ letter: "A"–"F", score_0_100, strongest: [...], weakest: [...] }.
Example
curl -G https://pmi-api-beta-7tvvt.ondigitalocean.app/v1/str/market \
--data-urlencode "outcode=BA1" \
--data-urlencode "bedrooms=2" \
--data-urlencode "include=summary,historical,grade" \
-H "Authorization: Bearer pmi_live_xxxxxxxxxxxxxxxx"Try this endpoint with your own key
100 free credits, no card required.
{
"location": "BA1",
"country": "England",
"currency": "GBP",
"summary": {
"adr": 142,
"occupancy_pct": 68,
"revpar": 97,
"revenue_pcm": 2955,
"revenue_annual": 35460,
"active_listings": 418
},
"historical": [
{
"month": "2024-05",
"adr": 138,
"occupancy_pct": 70,
"revenue_pcm": 2940,
"revpar": 97,
"yoy_revenue_change": 0.08
},
{
"month": "2024-06",
"adr": 159,
"occupancy_pct": 82,
"revenue_pcm": 3914,
"revpar": 130,
"yoy_revenue_change": 0.11
}
],
"grade": {
"letter": "A",
"score_0_100": 86,
"strongest": [
"revpar",
"occupancy"
],
"weakest": [
"supply_growth"
]
}
}More about this endpoint
Acquisition underwriting: "Before buying a £280k flat in Bath, I check /str/market for BA1 1. ADR £142, occupancy 68%, RevPAR £97, grade A. Projected ~£35k/yr gross. I proceed." — a 3-credit call answers a £280k decision.
Pricing / revenue management: Compare your listing's ADR to the by_price_tier summary each Monday. Dynamic-pricing tooling typically charges 1% of revenue for the same signal — you replicate it with one daily call.
SA vs long-let comparison: Pair /str/market (3 cr) + /rents/long-term (2 cr) for the same location. Decide strategy in 5 credits.
Market saturation screening: The supply section flags when listings are up 40% YoY but RevPAR is flat — over-supplied.
Lender / broker due diligence: SA mortgage lenders need revenue projections signed off. A reproducible, timestamped API response is stronger evidence than a hand-compiled screenshot pack.
https://pmi-api-beta-7tvvt.ondigitalocean.app/v1API version 1.1