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Revenue-firstAirbnb analytics
Trusted by 5,000+ Airbnb investors, buyers, and property analysts worldwide
“As a landlord in Barcelona, I use AirRenda to compare nearby Airbnb performance before deciding whether a unit fits short-term rental strategy.”
“I ran reports on four Austin condos in one sitting. The nightly rate data immediately changed my underwriting assumptions.”
“For Dubai, the report gave our team a shared view of nearby listings, prices, and market saturation before we modeled returns.”
“I was looking at a Bangkok apartment for Airbnb income. The report showed the nearby supply was much more competitive than the agent implied.”
“I compared three Tokyo apartments near Shinjuku. The listing density data helped me understand the real competition before making an offer.”
“Nashville has so many new builds targeting Airbnb. The competition density map helped me pick a neighborhood that wasn't already saturated.”
“Kuala Lumpur had similar-looking buildings with very different Airbnb markets. AirRenda showed the difference before I booked viewings.”
“For our Paris pied-à-terre, the report showed seasonal demand patterns that helped us set realistic income expectations.”
“Seoul's Airbnb market is hyper-local. AirRenda helped me see which Gangnam blocks actually perform versus just look premium.”
“Before buying in Bali, I used AirRenda to check nearby pricing and property types. It gave me a clearer target for furnishing and positioning.”
“We use AirRenda to pre-screen every Scottsdale listing before showing it to investor clients. Cuts our research time in half.”
“Osaka's short-term rental rules are strict, but AirRenda showed me which areas still have active listings and strong nightly rates.”
“Abu Dhabi's short-term rental scene is growing fast. AirRenda helped us benchmark pricing against nearby listings before committing.”
“Lisbon's market moves fast. AirRenda gave me a snapshot of competing listings around three Alfama addresses before I flew out for viewings.”
“Our agency uses AirRenda to pre-screen investment leads in Ho Chi Minh City. Clients understand the market faster when the numbers are visual.”
“AirRenda showed me which Miami Beach blocks had real occupancy pressure versus just high listing counts. Saved me from overpaying.”
“For our Kyoto machiya conversion, AirRenda confirmed there was guest demand nearby without the oversupply we feared.”
“Berlin regulations are complex, but AirRenda helped us understand the actual short-term rental supply around our target building.”
“Used AirRenda before buying a condo in Phuket. The report confirmed strong demand but also showed I needed a sharper pricing plan.”
“I checked three Rome apartments and the AirRenda Score made it obvious which one had the strongest guest demand nearby.”
“As a landlord in Barcelona, I use AirRenda to compare nearby Airbnb performance before deciding whether a unit fits short-term rental strategy.”
“I ran reports on four Austin condos in one sitting. The nightly rate data immediately changed my underwriting assumptions.”
“For Dubai, the report gave our team a shared view of nearby listings, prices, and market saturation before we modeled returns.”
“I was looking at a Bangkok apartment for Airbnb income. The report showed the nearby supply was much more competitive than the agent implied.”
“I compared three Tokyo apartments near Shinjuku. The listing density data helped me understand the real competition before making an offer.”
“Nashville has so many new builds targeting Airbnb. The competition density map helped me pick a neighborhood that wasn't already saturated.”
“Kuala Lumpur had similar-looking buildings with very different Airbnb markets. AirRenda showed the difference before I booked viewings.”
“For our Paris pied-à-terre, the report showed seasonal demand patterns that helped us set realistic income expectations.”
“Seoul's Airbnb market is hyper-local. AirRenda helped me see which Gangnam blocks actually perform versus just look premium.”
“Before buying in Bali, I used AirRenda to check nearby pricing and property types. It gave me a clearer target for furnishing and positioning.”
“We use AirRenda to pre-screen every Scottsdale listing before showing it to investor clients. Cuts our research time in half.”
“Osaka's short-term rental rules are strict, but AirRenda showed me which areas still have active listings and strong nightly rates.”
“Abu Dhabi's short-term rental scene is growing fast. AirRenda helped us benchmark pricing against nearby listings before committing.”
“Lisbon's market moves fast. AirRenda gave me a snapshot of competing listings around three Alfama addresses before I flew out for viewings.”
“Our agency uses AirRenda to pre-screen investment leads in Ho Chi Minh City. Clients understand the market faster when the numbers are visual.”
“AirRenda showed me which Miami Beach blocks had real occupancy pressure versus just high listing counts. Saved me from overpaying.”
“For our Kyoto machiya conversion, AirRenda confirmed there was guest demand nearby without the oversupply we feared.”
“Berlin regulations are complex, but AirRenda helped us understand the actual short-term rental supply around our target building.”
“Used AirRenda before buying a condo in Phuket. The report confirmed strong demand but also showed I needed a sharper pricing plan.”
“I checked three Rome apartments and the AirRenda Score made it obvious which one had the strongest guest demand nearby.”
Data-Driven Decisions for Airbnb Investments
Real Nightly Rate Data
$85–$240
avg. nightly range
See the actual price range of nearby Airbnb listings so you can model realistic revenue, not optimistic assumptions from a broker.
Local Competition Map
47
active listings
Know exactly how many active short-term rentals operate within walking distance — and what types of properties dominate the area.
AirRenda Investment Score
72/100
AirRenda Score
Get a single 0–100 score that combines listing density, pricing signals, and market health into one actionable metric.
Market Saturation Analysis
Moderate
density signal
High Airbnb density can signal demand or oversupply. Our analysis reads both sides so you understand the real opportunity.
Full Report in Seconds
~30s
per report
Enter any address and get a complete Airbnb market report in seconds — compare neighborhoods and property types before spending time on viewings or offers.
Everything in one investment report
Trion @ Kuala Lumpur, Pudu
Kuala Lumpur, Malaysia
Category Badge
Classified as Unproven Market, Early Opportunity, Strong Opportunity, Competitive Market, or Saturated Market.
AirRenda Score
Overall investment attractiveness score from 0 to 100, combining demand signals, revenue potential, competition balance, and market quality.
AirRenda Score
Oversupplied market with pricing pressure. For experienced operators only.
This area is heavily saturated with short-term rentals. New entrants face pricing pressure, high competition for bookings, and potential regulatory risk. Only suitable for experienced operators with a clear competitive edge.
How This Score Was Calculated
The AirRenda Score combines four investor factors — demand, revenue potential, competition balance, and market quality — weighted into a single 0–100 score.
Demand Signal (30%)
98
Proven guest demand from listing volume, review velocity, and guest-favorite badges.
Revenue Potential (25%)
95
Pricing power, property mix, and unit size signals from nearby comps.
Competition Balance (25%)
100
Enough demand without oversaturation — the sweet spot for new operators.
Market Quality (20%)
95
Host standards, ratings, and operational health of nearby listings.
Revenue Model
ADR, estimated occupancy, RevPAR, and monthly/annual revenue ranges modeled from nearby listing prices.
Revenue Model
Estimated gross booking revenue from nearby comparable listings. ADR uses listed nightly rates from comps; occupancy is a market heuristic based on listing density — not measured booking data.
Est. Monthly Revenue
$528–$1,728
Mid case: $956
Est. Annual Revenue
$6,424–$21,024
Mid case: $11,625
Monthly revenue ≈ ADR × 65% est. occupancy × 30 nights · RevPAR = ADR × occupancy per night
Est. ADR
$49
median listed nightly rate
ADR Range (P25–P75)
$32–$72
per night
Discount Pressure
28% discounting
avg 11.5% off listed rate
Est. Occupancy
65%
496 listings · high · scenario 55–80%
Est. RevPAR
$18–$58
mid $32/night
Price / Bedroom
$27
1.8 BR avg comps
Comp Sample
18 of 496
comps with listed rates
Estimates exclude cleaning fees, platform fees, taxes, and operating costs. Validate with local regulations and your own underwriting.
Market Overview
Nearby listing counts, average pricing, price range, and property type split.
Market Overview
Active Listings
496
within 80m radius
Avg Price
$49
per night
Entire Homes
100%
vs 0% private rooms
New Supply
22%
fewer than 10 reviews
Comps filtered to entire homes · Search window: Jul 5 – Jul 12
Property Type Mix
Unit Capacity
Avg Bedrooms
1.8
per listing
Avg Beds
2.1
per listing
Avg Guests
3.5
per listing
Price / Bedroom
$27
per night
Price Range
Property Type Split
Host Profile
Superhost percentage, guest favorites, average ratings, and review counts nearby.
Host Profile
Superhosts
33%
mixed quality
Guest Favorites
8%
highly rated listings
Avg Rating
out of 5.0
Avg Reviews
85
per listing
Investment Signals
Six investment risk signals: demand strength, revenue quality, competition intensity, operational complexity, regulation exposure, and pricing pressure.
Investment Signals
Multiple demand indicators confirm active guest interest — listings are reviewed, booked, and favorited
Mid-range pricing with standard revenue potential — returns depend on occupancy optimization
Experienced operators dominate with high ratings and superhost status — differentiation is essential
High guest turnover with entire-home rentals at budget prices — expect intensive management needs
Dense entire-home STR concentration matches patterns that trigger regulatory crackdowns
Some discounting visible — market is competitive but not distressed
Top Listings
The five highest-performing short-term rental listings near this address.
Top Listings Nearby
Estimated Annual Activity
Calculated from 496 active listings at an estimated 65% average occupancy rate. Actual figures vary by season, local regulations, and market conditions.
Market Insights
Written analysis of what the data may mean for an Airbnb investment decision.
Market Insights
Market Activity
This market is oversupplied with short-term rentals. Expect pricing pressure and difficulty standing out without significant competitive advantages.
Guest Profile
Lower average prices suggest a value-driven guest segment. Investors may need tight cost control and efficient operations.
Rental Type
The majority of nearby listings are entire homes, suggesting direct competition with investor-operated apartments or houses.
Host Standards
Host quality is mixed, with experienced Superhosts alongside newer operators. Execution quality may be a real advantage.
Three ways to start
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