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Discover which area brings customers so you can grow your business, fast.

Revenue-first
Airbnb analytics

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Trusted by Airbnb investors, buyers, and property analysts

As a landlord in Barcelona, I use AirRenda to compare nearby Airbnb performance before deciding whether a unit fits short-term rental strategy.

JR
Landlord, Barcelona

I ran reports on four Austin condos in one sitting. The nightly rate data immediately changed my underwriting assumptions.

CM
Short-term rental investor, Austin

For Dubai, the report gave our team a shared view of nearby listings, prices, and market saturation before we modeled returns.

BT
Investment team, Dubai

I was looking at a Bangkok apartment for Airbnb income. The report showed the nearby supply was much more competitive than the agent implied.

KS
Apartment buyer, Bangkok

I compared three Tokyo apartments near Shinjuku. The listing density data helped me understand the real competition before making an offer.

ML
Apartment buyer, Tokyo

Nashville has so many new builds targeting Airbnb. The competition density map helped me pick a neighborhood that wasn't already saturated.

AP
First-time investor, Nashville

Kuala Lumpur had similar-looking buildings with very different Airbnb markets. AirRenda showed the difference before I booked viewings.

SF
Portfolio investor, Kuala Lumpur

For our Paris pied-à-terre, the report showed seasonal demand patterns that helped us set realistic income expectations.

RH
Apartment owner, Paris

Seoul's Airbnb market is hyper-local. AirRenda helped me see which Gangnam blocks actually perform versus just look premium.

PK
Investor, Seoul

Before buying in Bali, I used AirRenda to check nearby pricing and property types. It gave me a clearer target for furnishing and positioning.

LW
Villa buyer, Bali

We use AirRenda to pre-screen every Scottsdale listing before showing it to investor clients. Cuts our research time in half.

HA
Real estate agent, Scottsdale

Osaka's short-term rental rules are strict, but AirRenda showed me which areas still have active listings and strong nightly rates.

NT
Property investor, Osaka

Abu Dhabi's short-term rental scene is growing fast. AirRenda helped us benchmark pricing against nearby listings before committing.

G
Property investor, Abu Dhabi

Lisbon's market moves fast. AirRenda gave me a snapshot of competing listings around three Alfama addresses before I flew out for viewings.

YT
Property buyer, Lisbon

Our agency uses AirRenda to pre-screen investment leads in Ho Chi Minh City. Clients understand the market faster when the numbers are visual.

KN
Property agent, Ho Chi Minh City

AirRenda showed me which Miami Beach blocks had real occupancy pressure versus just high listing counts. Saved me from overpaying.

MH
Condo buyer, Miami

For our Kyoto machiya conversion, AirRenda confirmed there was guest demand nearby without the oversupply we feared.

FS
Guesthouse owner, Kyoto

Berlin regulations are complex, but AirRenda helped us understand the actual short-term rental supply around our target building.

ZA
Investor, Berlin

Used AirRenda before buying a condo in Phuket. The report confirmed strong demand but also showed I needed a sharper pricing plan.

JK
Condo buyer, Phuket

I checked three Rome apartments and the AirRenda Score made it obvious which one had the strongest guest demand nearby.

DR
Villa buyer, Rome

As a landlord in Barcelona, I use AirRenda to compare nearby Airbnb performance before deciding whether a unit fits short-term rental strategy.

JR
Landlord, Barcelona

I ran reports on four Austin condos in one sitting. The nightly rate data immediately changed my underwriting assumptions.

CM
Short-term rental investor, Austin

For Dubai, the report gave our team a shared view of nearby listings, prices, and market saturation before we modeled returns.

BT
Investment team, Dubai

I was looking at a Bangkok apartment for Airbnb income. The report showed the nearby supply was much more competitive than the agent implied.

KS
Apartment buyer, Bangkok

I compared three Tokyo apartments near Shinjuku. The listing density data helped me understand the real competition before making an offer.

ML
Apartment buyer, Tokyo

Nashville has so many new builds targeting Airbnb. The competition density map helped me pick a neighborhood that wasn't already saturated.

AP
First-time investor, Nashville

Kuala Lumpur had similar-looking buildings with very different Airbnb markets. AirRenda showed the difference before I booked viewings.

SF
Portfolio investor, Kuala Lumpur

For our Paris pied-à-terre, the report showed seasonal demand patterns that helped us set realistic income expectations.

RH
Apartment owner, Paris

Seoul's Airbnb market is hyper-local. AirRenda helped me see which Gangnam blocks actually perform versus just look premium.

PK
Investor, Seoul

Before buying in Bali, I used AirRenda to check nearby pricing and property types. It gave me a clearer target for furnishing and positioning.

LW
Villa buyer, Bali

We use AirRenda to pre-screen every Scottsdale listing before showing it to investor clients. Cuts our research time in half.

HA
Real estate agent, Scottsdale

Osaka's short-term rental rules are strict, but AirRenda showed me which areas still have active listings and strong nightly rates.

NT
Property investor, Osaka

Abu Dhabi's short-term rental scene is growing fast. AirRenda helped us benchmark pricing against nearby listings before committing.

G
Property investor, Abu Dhabi

Lisbon's market moves fast. AirRenda gave me a snapshot of competing listings around three Alfama addresses before I flew out for viewings.

YT
Property buyer, Lisbon

Our agency uses AirRenda to pre-screen investment leads in Ho Chi Minh City. Clients understand the market faster when the numbers are visual.

KN
Property agent, Ho Chi Minh City

AirRenda showed me which Miami Beach blocks had real occupancy pressure versus just high listing counts. Saved me from overpaying.

MH
Condo buyer, Miami

For our Kyoto machiya conversion, AirRenda confirmed there was guest demand nearby without the oversupply we feared.

FS
Guesthouse owner, Kyoto

Berlin regulations are complex, but AirRenda helped us understand the actual short-term rental supply around our target building.

ZA
Investor, Berlin

Used AirRenda before buying a condo in Phuket. The report confirmed strong demand but also showed I needed a sharper pricing plan.

JK
Condo buyer, Phuket

I checked three Rome apartments and the AirRenda Score made it obvious which one had the strongest guest demand nearby.

DR
Villa buyer, Rome

Data-Driven Decisions for Airbnb Investments

Stop guessing rental income. Analyze real market signals around any address before you commit capital.

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

Each analysis shows Airbnb market signals around the address you are evaluating.

AirRenda Example Report

Trion @ Kuala Lumpur, Pudu

Kuala Lumpur, Malaysia

Competitive Market

AirRenda Score

100/ 100

Strong demand but heavy competition. Differentiation strategy required.

This is a proven high-demand area with significant short-term rental competition. Success requires a clear differentiation strategy, professional operations, and potentially higher upfront investment in property quality.

Report Date2026-05-04

How This Score Was Calculated

The AirRenda Score combines two factors to estimate Airbnb market potential around this address. Each is scored 0-100.

Market Presence100

Scores how strongly nearby Airbnb listings indicate active short-term rental demand within 80 meters of this address.

Market Density100

Scores how concentrated short-term rentals are relative to the surrounding residential market.

Market Overview

Active Listings

496

within 80m radius

Avg Price

$49

per night

Entire Homes

100%

vs 0% private rooms

Price Range

$15$120$49 avg
CheapestMost expensiveper night

Property Type Split

Entire homes (100%)Private rooms (0%)

Host Profile

Superhosts

33%

mixed quality

Guest Favorites

8%

highly rated listings

Avg Rating

4.9

out of 5.0

Avg Reviews

85

per listing

Investment Signals

Demand StrengthStrong

Multiple demand indicators confirm active guest interest — listings are reviewed, booked, and favorited

Revenue QualityModerate

Mid-range pricing with standard revenue potential — returns depend on occupancy optimization

Competition IntensityHigh

Experienced operators dominate with high ratings and superhost status — differentiation is essential

Operational ComplexityHigh

High guest turnover with entire-home rentals at budget prices — expect intensive management needs

Regulation ExposureHigh

Dense entire-home STR concentration matches patterns that trigger regulatory crackdowns

Pricing PressureModerate

Some discounting visible — market is competitive but not distressed

Top Listings Nearby

1
Entire apartment in Kuala Lumpur
5(342 reviews)SuperhostGuest Favorite
$38per night
2
Modern studio near Bukit Bintang
4.9(218 reviews)Superhost
$45per night
3
Cozy loft with KLCC view
4.9(196 reviews)Guest Favorite
$52per night
4
Budget-friendly unit in Pudu
4.8(167 reviews)
$28per night
5
Stylish 1BR near MRT station
4.8(154 reviews)Superhost
$41per night

Estimated Annual Activity

117,530guest-nights per year

Calculated from 496 active listings at an estimated 65% average occupancy rate. Actual figures vary by season, local regulations, and market conditions.

Market Insights

Market Activity

Strong demand is confirmed, but heavy competition means you need a clear differentiation strategy to capture bookings.

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.

AirRenda Example Report

Location Data

Enter an address to instantly see local Airbnb supply, nightly prices, and the AirRenda Score market score.

Investor Analytics

Compare short-term rental demand, competition, pricing, and host performance signals around any property.

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Clear Reports

Get simple scores, market tags, maps, and pricing context you can use when shortlisting investment properties.

Three ways to start

01

Click anywhere on the map

Tap any building, street, or point of interest on the interactive globe. AirRenda identifies the address automatically.

02

Or type an address

Use the search bar with smart autocomplete to find any property worldwide — apartments, houses, or entire neighborhoods.

03

Get your report in seconds

Receive an AirRenda Score, nightly rate ranges, competition density, risk signals, and top competitor listings — instantly.

Frequently Asked Questions

Answers for investors evaluating apartments, houses, and neighborhoods for short-term rental potential.

Ready to evaluate your next Airbnb deal with real market data?