Occupancy Rate: It tells how often was a typical active property occupied over the last 12 months? The formula is “number_of_booked_days / number_of_available_days”.

Average Daily Rate: How much did hosts in this market charge per day over the last 12 months? This does not include cleaning fees.

Revenue: What’s the median revenue a property in this market generated over the last 12 months? This Revenue figure represents the median over the past 12 months and does not include taxes, service fees, or additional guest fees.

Number of listings: It is the total active listings over the past 12 months.

How do we collect the data?
Airbtics’ primary data source is attained through a web scraping software that directly takes data points from Airbnb. We also have secondary data sources from Airbnb hosts via iCal or vacation rental managers.

How accurate is the data?
Airbtics is dedicated to providing the most accurate data available in the market. Through the application of data science and machine learning algorithms, we train our various classifiers to consistently improve our data’s accuracy.

In addition to this, we make predictions based on Airbnb’s total revenue and it is 97% correlated with Airbnb’s official statement.

Occupancy Rate: It tells how often was a typical active property occupied over the last 12 months? The formula is “number_of_booked_days / number_of_available_days”.

Average Daily Rate: How much did hosts in this market charge per day over the last 12 months? This does not include cleaning fees.

Revenue: What’s the median revenue a property in this market generated over the last 12 months? This Revenue figure represents the median over the past 12 months and does not include taxes, service fees, or additional guest fees.

Number of listings: It is the total active listings over the past 12 months.

How do we collect the data?
Airbtics’ primary data source is attained through a web scraping software that directly takes data points from Airbnb. We also have secondary data sources from Airbnb hosts via iCal or vacation rental managers.

How accurate is the data?
Airbtics is dedicated to providing the most accurate data available in the market. Through the application of data science and machine learning algorithms, we train our various classifiers to consistently improve our data’s accuracy.

In addition to this, we make predictions based on Airbnb’s total revenue and it is 97% correlated with Airbnb’s official statement.

Occupancy Rate: It tells how often was a typical active property occupied over the last 12 months? The formula is “number_of_booked_days / number_of_available_days”.

Average Daily Rate: How much did hosts in this market charge per day over the last 12 months? This does not include cleaning fees.

Revenue: What’s the median revenue a property in this market generated over the last 12 months? This Revenue figure represents the median over the past 12 months and does not include taxes, service fees, or additional guest fees.

Number of listings: It is the total active listings over the past 12 months.

How do we collect the data?
Airbtics’ primary data source is attained through a web scraping software that directly takes data points from Airbnb. We also have secondary data sources from Airbnb hosts via iCal or vacation rental managers.

How accurate is the data?
Airbtics is dedicated to providing the most accurate data available in the market. Through the application of data science and machine learning algorithms, we train our various classifiers to consistently improve our data’s accuracy.

In addition to this, we make predictions based on Airbnb’s total revenue and it is 97% correlated with Airbnb’s official statement.

Occupancy Rate: It tells how often was a typical active property occupied over the last 12 months? The formula is “number_of_booked_days / number_of_available_days”.

Average Daily Rate: How much did hosts in this market charge per day over the last 12 months? This does not include cleaning fees.

Revenue: What’s the median revenue a property in this market generated over the last 12 months? This Revenue figure represents the median over the past 12 months and does not include taxes, service fees, or additional guest fees.

Number of listings: It is the total active listings over the past 12 months.

How do we collect the data?
Airbtics’ primary data source is attained through a web scraping software that directly takes data points from Airbnb. We also have secondary data sources from Airbnb hosts via iCal or vacation rental managers.

How accurate is the data?
Airbtics is dedicated to providing the most accurate data available in the market. Through the application of data science and machine learning algorithms, we train our various classifiers to consistently improve our data’s accuracy.

In addition to this, we make predictions based on Airbnb’s total revenue and it is 97% correlated with Airbnb’s official statement.

Occupancy Rate: It tells how often was a typical active property occupied over the last 12 months? The formula is “number_of_booked_days / number_of_available_days”.

Average Daily Rate: How much did hosts in this market charge per day over the last 12 months? This does not include cleaning fees.

Revenue: What’s the median revenue a property in this market generated over the last 12 months? This Revenue figure represents the median over the past 12 months and does not include taxes, service fees, or additional guest fees.

Number of listings: It is the total active listings over the past 12 months.

How do we collect the data?
Airbtics’ primary data source is attained through a web scraping software that directly takes data points from Airbnb. We also have secondary data sources from Airbnb hosts via iCal or vacation rental managers.

How accurate is the data?
Airbtics is dedicated to providing the most accurate data available in the market. Through the application of data science and machine learning algorithms, we train our various classifiers to consistently improve our data’s accuracy.

In addition to this, we make predictions based on Airbnb’s total revenue and it is 97% correlated with Airbnb’s official statement.

Occupancy Rate: It tells how often was a typical active property occupied over the last 12 months? The formula is “number_of_booked_days / number_of_available_days”.

Average Daily Rate: How much did hosts in this market charge per day over the last 12 months? This does not include cleaning fees.

Revenue: What’s the median revenue a property in this market generated over the last 12 months? This Revenue figure represents the median over the past 12 months and does not include taxes, service fees, or additional guest fees.

Number of listings: It is the total active listings over the past 12 months.

How do we collect the data?
Airbtics’ primary data source is attained through a web scraping software that directly takes data points from Airbnb. We also have secondary data sources from Airbnb hosts via iCal or vacation rental managers.

How accurate is the data?
Airbtics is dedicated to providing the most accurate data available in the market. Through the application of data science and machine learning algorithms, we train our various classifiers to consistently improve our data’s accuracy.

In addition to this, we make predictions based on Airbnb’s total revenue and it is 97% correlated with Airbnb’s official statement.

Occupancy Rate: It tells how often was a typical active property occupied over the last 12 months? The formula is “number_of_booked_days / number_of_available_days”.

Average Daily Rate: How much did hosts in this market charge per day over the last 12 months? This does not include cleaning fees.

Revenue: What’s the median revenue a property in this market generated over the last 12 months? This Revenue figure represents the median over the past 12 months and does not include taxes, service fees, or additional guest fees.

Number of listings: It is the total active listings over the past 12 months.

How do we collect the data?
Airbtics’ primary data source is attained through a web scraping software that directly takes data points from Airbnb. We also have secondary data sources from Airbnb hosts via iCal or vacation rental managers.

How accurate is the data?
Airbtics is dedicated to providing the most accurate data available in the market. Through the application of data science and machine learning algorithms, we train our various classifiers to consistently improve our data’s accuracy.

In addition to this, we make predictions based on Airbnb’s total revenue and it is 97% correlated with Airbnb’s official statement.

Occupancy Rate: It tells how often was a typical active property occupied over the last 12 months? The formula is “number_of_booked_days / number_of_available_days”.

Average Daily Rate: How much did hosts in this market charge per day over the last 12 months? This does not include cleaning fees.

Revenue: What’s the median revenue a property in this market generated over the last 12 months? This Revenue figure represents the median over the past 12 months and does not include taxes, service fees, or additional guest fees.

Number of listings: It is the total active listings over the past 12 months.

How do we collect the data?
Airbtics’ primary data source is attained through a web scraping software that directly takes data points from Airbnb. We also have secondary data sources from Airbnb hosts via iCal or vacation rental managers.

How accurate is the data?
Airbtics is dedicated to providing the most accurate data available in the market. Through the application of data science and machine learning algorithms, we train our various classifiers to consistently improve our data’s accuracy.

In addition to this, we make predictions based on Airbnb’s total revenue and it is 97% correlated with Airbnb’s official statement.