Airbnb Data

in

Philippines

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Description

Airbnb Data – Philippines

Techsalerator’s Airbnb Data for the Philippines aggregates comprehensive short-term rental insights across major metropolitan areas, island tourism destinations, and coastal hospitality markets. This dataset provides detailed information on property listings, pricing trends, occupancy rates, host activity, guest reviews, and neighborhood-level performance metrics. By leveraging publicly available rental data and structured listing insights, businesses can better understand the Philippines’ short-term rental market dynamics and tourism-driven travel demand patterns.

Top 5 Most Utilized Data Fields

Listing Price: Nightly rental rate including seasonal and dynamic pricing.
Occupancy Rate: Percentage of booked nights over a defined period.
Property Type: Classification such as apartment, villa, shared room, or entire home.
Location Coordinates: Precise geographic positioning for mapping and spatial analytics.
Review Score: Aggregated guest ratings measuring property satisfaction.

Top 5 Use Cases for Airbnb Data in the Philippines

Short-Term Rental Investment Analysis: Identify high-performing areas in Manila and Cebu.
Dynamic Pricing Strategy: Monitor seasonal tourism demand across island destinations.
Tourism Market Research: Analyze international and domestic travel flows.
Urban Planning & Housing Analysis: Evaluate short-term rental density in urban centers.
Competitive Benchmarking: Compare listing performance across beach and island tourism regions.

Top 5 Locations with Notable Airbnb Data Trends in the Philippines

Manila: Strong business travel and urban hospitality demand.
Cebu City: Major tourism gateway with consistent occupancy.
Boracay: High seasonal tourism-driven pricing fluctuations.
Palawan: Eco-tourism growth and increasing rental demand.
Davao: Expanding domestic tourism activity.

Accessing Techsalerator’s Airbnb Data

To obtain Techsalerator’s Airbnb Data for the Philippines, contact info@techsalerator.com with your requirements. Customized quotes are available based on dataset size, fields, and update frequency. Data delivery is available within 24 hours for continuous market monitoring.

Included Data Fields

Listing ID
Property Type
Nightly Price
Cleaning Fee
Occupancy Rate
Availability Calendar
Number of Reviews
Average Rating
Host ID
Host Activity Level
Location Coordinates
Neighborhood
Minimum Stay Requirement

Airbnb Data for Philippines – FAQs

Q: How much does the dataset cost?
Pricing depends on volume, coverage scope, and update frequency.

Q: How complete is the coverage?
Coverage spans major cities, island tourism destinations, and coastal hospitality markets across the Philippines.

Q: How is the data collected?
Data is aggregated from publicly available short-term rental listings and validated sources.

Q: Can I filter by city or region?
Yes. Filtering is available by location, property type, pricing range, and performance metrics.

Q: How is the data delivered?
Delivery is available via FTP, SFTP, S3, or email in JSON, CSV, TXT, or XLS formats.

Pricing

Commercial Models

Availability

One-off purchase
Available
Data subscription (Monthly Updates)  
Available
Data subscription (Quarterly Updates)  
Available
Data subscription (Annual Updates)  
Available

Suitable Company Sizes

checkmark
Small Business
checkmark
Medium-sizedBusiness
checkmark
Enterprise

Quality

99%
Data Coverage
95%
Accuracy

Delivery

 Methods
v
SFTP
checkmark
Email
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FeedAPI
checkmark
S3 Bucket
 Format
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.json
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.csv
checkmark
.xls
checkmark
.txt
Pricing available upon request
Get Custom Quote

Most popular fields

Contact Provider

Airbnb Data in Philippines

Airbnb Data in Philippines

Request Data Sample
Description

Airbnb Data – Philippines

Techsalerator’s Airbnb Data for the Philippines aggregates comprehensive short-term rental insights across major metropolitan areas, island tourism destinations, and coastal hospitality markets. This dataset provides detailed information on property listings, pricing trends, occupancy rates, host activity, guest reviews, and neighborhood-level performance metrics. By leveraging publicly available rental data and structured listing insights, businesses can better understand the Philippines’ short-term rental market dynamics and tourism-driven travel demand patterns.

Top 5 Most Utilized Data Fields

Listing Price: Nightly rental rate including seasonal and dynamic pricing.
Occupancy Rate: Percentage of booked nights over a defined period.
Property Type: Classification such as apartment, villa, shared room, or entire home.
Location Coordinates: Precise geographic positioning for mapping and spatial analytics.
Review Score: Aggregated guest ratings measuring property satisfaction.

Top 5 Use Cases for Airbnb Data in the Philippines

Short-Term Rental Investment Analysis: Identify high-performing areas in Manila and Cebu.
Dynamic Pricing Strategy: Monitor seasonal tourism demand across island destinations.
Tourism Market Research: Analyze international and domestic travel flows.
Urban Planning & Housing Analysis: Evaluate short-term rental density in urban centers.
Competitive Benchmarking: Compare listing performance across beach and island tourism regions.

Top 5 Locations with Notable Airbnb Data Trends in the Philippines

Manila: Strong business travel and urban hospitality demand.
Cebu City: Major tourism gateway with consistent occupancy.
Boracay: High seasonal tourism-driven pricing fluctuations.
Palawan: Eco-tourism growth and increasing rental demand.
Davao: Expanding domestic tourism activity.

Accessing Techsalerator’s Airbnb Data

To obtain Techsalerator’s Airbnb Data for the Philippines, contact info@techsalerator.com with your requirements. Customized quotes are available based on dataset size, fields, and update frequency. Data delivery is available within 24 hours for continuous market monitoring.

Included Data Fields

Listing ID
Property Type
Nightly Price
Cleaning Fee
Occupancy Rate
Availability Calendar
Number of Reviews
Average Rating
Host ID
Host Activity Level
Location Coordinates
Neighborhood
Minimum Stay Requirement

Airbnb Data for Philippines – FAQs

Q: How much does the dataset cost?
Pricing depends on volume, coverage scope, and update frequency.

Q: How complete is the coverage?
Coverage spans major cities, island tourism destinations, and coastal hospitality markets across the Philippines.

Q: How is the data collected?
Data is aggregated from publicly available short-term rental listings and validated sources.

Q: Can I filter by city or region?
Yes. Filtering is available by location, property type, pricing range, and performance metrics.

Q: How is the data delivered?
Delivery is available via FTP, SFTP, S3, or email in JSON, CSV, TXT, or XLS formats.

Pricing

Commercial Models

Availability

One-off purchase
Available
Data subscription (Monthly Updates)
Available
Data subscription (Quarterly Updates)
Available
Data subscription (Annual Updates)  
Available
Suitable Company Sizes
checkmark
Small Business
checkmark
Medium-sizedBusiness
checkmark
Enterprise
Quality
99%
Data Coverage
95%
Accuracy
Delivery
Methods
checkmark
SFTP
checkmark
Email
checkmark
FeedAPI
checkmark
S3 Bucket
Format
checkmark
.json
checkmark
.csv
checkmark
.xls
checkmark
.txt
Pricing available upon request
Get Custom Quote
Most popular fields
Contact Provider
What types of data does Techsalerator provide?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
What are the four data pillars?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
In which countries is Techsalerator's data available?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
How does Techsalerator ensure data quality?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
How frequently is the data updated?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
What types of data does Techsalerator provide?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
What are the four data pillars?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
In which countries is Techsalerator's data available?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
How does Techsalerator ensure data quality?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
How frequently is the data updated?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
What types of data does Techsalerator provide?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
What are the four data pillars?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
In which countries is Techsalerator's data available?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
How does Techsalerator ensure data quality?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
How frequently is the data updated?
Our datasets cover 195 countries — every major global market — with data sourced locally to maintain accuracy, freshness, and relevance. Coverage varies by category and dataset; specific country coverage is documented on every dataset detail page.
Pricing
Suitable Company Sizes
Quality
Delivery
Commercial Models
Availability
One-off purchase
Data subscription (Monthly Updates)
Data subscription (Quarterly Updates)
Data subscription (Annual Updates)
Small Business
Medium-sizedBusiness
Enterprise
Data Coverage
85%
Accuracy
85%
Methods
SFTP
Email
FeedAPI
S3 Bucket
Format
.json
.csv
.xls
.txt
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