airbnb_listings: Airbnb listings and reviews
In emend: Cleaning Text Data with an AI Assistant
airbnb_listings R Documentation
Airbnb listings and reviews
Description
A sample dataset of Airbnb listings and reviews
of properties from Sydney, Australia.
Usage
airbnb_listings
airbnb_reviews
Format
airbnb_listings
A data.frame with 1623 rows and 68 columns
- id
Airbnb's unique identifier for the listing.
- name
Name of the listing.
- description
Detailed description of the listing.
- neighborhood_overview
Host's description of the neighbourhood.
- picture_url
URL to the Airbnb hosted regular sized image for the listing.
- host_id
Airbnb's unique identifier for the host/user.
- host_name
Name of the host. Usually just the first name(s).
- host_since
The date the host/user was created. For hosts that are Airbnb guests this could be the date they registered as a guest.
- host_location
The host's self reported location.
- host_about
Description about the host.
- host_response_time
The time interval between when a host responds to an inquiry from a guest.
- host_response_rate
Percentage of inquiries from potential guests that are responded to by hosts.
- host_acceptance_rate
That rate at which a host accepts booking requests.
- host_is_superhost
Whether the host is a super host or not.
- host_thumbnail_url
A thumbnail of the host.
- host_picture_url
A URL to the picture of the host.
- host_neighbourhood
The host neighbourhood.
- host_listings_count
The number of listings the host has.
- host_total_listings_count
The number of listings the host has.
- host_verifications
Host communication verifications.
- host_has_profile_pic
Whether the host has a profile pic.
- host_identity_verified
Whether the host has their identity verified.
- neighbourhood_cleansed
The neighbourhood as geocoded using the latitude and longitude against neighborhoods as defined by open or public digital shapefiles.
- latitude
Uses the World Geodetic System (WGS84) projection for latitude and longitude.
- longitude
Uses the World Geodetic System (WGS84) projection for latitude and longitude.
- property_type
Self selected property type. Hotels and Bed and Breakfasts are described as such by their hosts in this field.
- room_type
Entire home/apt, Private room, Shared room, or Hotel. Entire places are best if you're seeking a home away from home. With an entire place, you'll have the whole space to yourself. This usually includes a bedroom, a bathroom, a kitchen, and a separate, dedicated entrance.
Hosts should note in the description if they'll be on the property or not (ex: "Host occupies first floor of the home"), and
provide further details on the listing. Private rooms are great for when you prefer a little privacy, and still value a local connection. When you book a private room, you'll have your own private room for sleeping and may share some spaces with others. You might need to walk through indoor spaces that another host or guest may occupy to get to your room. Shared rooms are for when you don't mind sharing a space with others. When you book a shared room, you'll be sleeping in a space that is shared with others and share the entire space with other people. Shared rooms are popular among flexible travelers looking for new friends and budget-friendly stays.
- accommodates
The maximum capacity of the listing.
- bathrooms
The number of bathrooms in the listing.
- bathrooms_text
The text of the number of bathsroom in the listings.
- bedrooms
The number of bedrooms.
- beds
The number of bed(s).
- amenities
The amenities.
- price
Daily price in local currency.
- minimum_nights
Minimum number of night stay for the listing.
- maximum_nights
Maximum number of night stay for the listing.
- minimum_minimum_nights
The smallest minimum_night value from the calender (looking 365 nights in the future).
- maximum_minimum_nights
The largest minimum_night value from the calender (looking 365 nights in the future).
- minimum_maximum_nights
The smallest maximum_night value from the calender (looking 365 nights in the future).
- maximum_maximum_nights
The largest maximum_night value from the calender (looking 365 nights in the future).
- minimum_nights_avg_ntm
The average minimum_night value from the calender (looking 365 nights in the future).
- maximum_nights_avg_ntm
The average maximum_night value from the calender (looking 365 nights in the future).
- has_availability
Whether there is availability or not.
- availability_30
The availability of the listing x days in the future as determined by the calendar. Note a listing may not be available because it has been booked by a guest or blocked by the host.
- availability_60
- availability_90
- availability_365
- number_of_reviews
The number of reviews the listing has.
- number_of_reviews_ltm
The number of reviews the listing has (in the last 12 months).
- number_of_reviews_l30d
The number of reviews the listing has (in the last 30 days).
- first_review
The date of the first/oldest review.
- last_review
The date of the last/newest review.
- review_scores_rating
The review score for ratings of the listing.
- review_scores_accuracy
The review score for accuracy of the listing.
- review_scores_cleanliness
The review score for cleanliness of the listing.
- review_scores_checkin
The review score for checkin experience of the listing.
- review_scores_communication
The review score for communication of the listing.
- review_scores_location
The review score for location of the listing.
- review_scores_value
The review score for value of the listing.
- license
The licence/permit/registration number.
- instant_bookable
Whether the guest can automatically book the listing without the host requiring to accept their booking request. An indicator of a commercial listing.
- calculated_host_listings_count
The number of listings the host has in the current scrape, in the city/region geography.
- calculated_host_listings_count_entire_homes
The number of Entire home/apt listings the host has in the current scrape, in the city/region geography.
- calculated_host_listings_count_private_rooms
The number of Private room listings the host has in the current scrape, in the city/region geography.
- calculated_host_listings_count_shared_rooms
The number of Shared room listings the host has in the current scrape, in the city/region geography.
- reviews_per_month
The average number of reviews per month the listing has over the lifetime of the listing.
airbnb_reviews
A data.frame with 5679 rows and 6 columns
- listing_id
Unique identifier for the listing
- id
Unique identifier for the review
- date
Date of the review
- reviewer_id
Unique identifier for the reviewer
- reviewer_name
Name of the reviewer
- comments
Text of the review
Source
https://insideairbnb.com/get-the-data/
emend documentation built on April 4, 2025, 2:38 a.m.
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| airbnb_listings | R Documentation |
Airbnb listings and reviews
Description
A sample dataset of Airbnb listings and reviews of properties from Sydney, Australia.
Usage
airbnb_listings
airbnb_reviews
Format
airbnb_listings
A data.frame with 1623 rows and 68 columns
- id
Airbnb's unique identifier for the listing.
- name
Name of the listing.
- description
Detailed description of the listing.
- neighborhood_overview
Host's description of the neighbourhood.
- picture_url
URL to the Airbnb hosted regular sized image for the listing.
- host_id
Airbnb's unique identifier for the host/user.
- host_name
Name of the host. Usually just the first name(s).
- host_since
The date the host/user was created. For hosts that are Airbnb guests this could be the date they registered as a guest.
- host_location
The host's self reported location.
- host_about
Description about the host.
- host_response_time
The time interval between when a host responds to an inquiry from a guest.
- host_response_rate
Percentage of inquiries from potential guests that are responded to by hosts.
- host_acceptance_rate
That rate at which a host accepts booking requests.
- host_is_superhost
Whether the host is a super host or not.
- host_thumbnail_url
A thumbnail of the host.
- host_picture_url
A URL to the picture of the host.
- host_neighbourhood
The host neighbourhood.
- host_listings_count
The number of listings the host has.
- host_total_listings_count
The number of listings the host has.
- host_verifications
Host communication verifications.
- host_has_profile_pic
Whether the host has a profile pic.
- host_identity_verified
Whether the host has their identity verified.
- neighbourhood_cleansed
The neighbourhood as geocoded using the latitude and longitude against neighborhoods as defined by open or public digital shapefiles.
- latitude
Uses the World Geodetic System (WGS84) projection for latitude and longitude.
- longitude
Uses the World Geodetic System (WGS84) projection for latitude and longitude.
- property_type
Self selected property type. Hotels and Bed and Breakfasts are described as such by their hosts in this field.
- room_type
Entire home/apt, Private room, Shared room, or Hotel. Entire places are best if you're seeking a home away from home. With an entire place, you'll have the whole space to yourself. This usually includes a bedroom, a bathroom, a kitchen, and a separate, dedicated entrance. Hosts should note in the description if they'll be on the property or not (ex: "Host occupies first floor of the home"), and provide further details on the listing. Private rooms are great for when you prefer a little privacy, and still value a local connection. When you book a private room, you'll have your own private room for sleeping and may share some spaces with others. You might need to walk through indoor spaces that another host or guest may occupy to get to your room. Shared rooms are for when you don't mind sharing a space with others. When you book a shared room, you'll be sleeping in a space that is shared with others and share the entire space with other people. Shared rooms are popular among flexible travelers looking for new friends and budget-friendly stays.
- accommodates
The maximum capacity of the listing.
- bathrooms
The number of bathrooms in the listing.
- bathrooms_text
The text of the number of bathsroom in the listings.
- bedrooms
The number of bedrooms.
- beds
The number of bed(s).
- amenities
The amenities.
- price
Daily price in local currency.
- minimum_nights
Minimum number of night stay for the listing.
- maximum_nights
Maximum number of night stay for the listing.
- minimum_minimum_nights
The smallest minimum_night value from the calender (looking 365 nights in the future).
- maximum_minimum_nights
The largest minimum_night value from the calender (looking 365 nights in the future).
- minimum_maximum_nights
The smallest maximum_night value from the calender (looking 365 nights in the future).
- maximum_maximum_nights
The largest maximum_night value from the calender (looking 365 nights in the future).
- minimum_nights_avg_ntm
The average minimum_night value from the calender (looking 365 nights in the future).
- maximum_nights_avg_ntm
The average maximum_night value from the calender (looking 365 nights in the future).
- has_availability
Whether there is availability or not.
- availability_30
The availability of the listing x days in the future as determined by the calendar. Note a listing may not be available because it has been booked by a guest or blocked by the host.
- availability_60
- availability_90
- availability_365
- number_of_reviews
The number of reviews the listing has.
- number_of_reviews_ltm
The number of reviews the listing has (in the last 12 months).
- number_of_reviews_l30d
The number of reviews the listing has (in the last 30 days).
- first_review
The date of the first/oldest review.
- last_review
The date of the last/newest review.
- review_scores_rating
The review score for ratings of the listing.
- review_scores_accuracy
The review score for accuracy of the listing.
- review_scores_cleanliness
The review score for cleanliness of the listing.
- review_scores_checkin
The review score for checkin experience of the listing.
- review_scores_communication
The review score for communication of the listing.
- review_scores_location
The review score for location of the listing.
- review_scores_value
The review score for value of the listing.
- license
The licence/permit/registration number.
- instant_bookable
Whether the guest can automatically book the listing without the host requiring to accept their booking request. An indicator of a commercial listing.
- calculated_host_listings_count
The number of listings the host has in the current scrape, in the city/region geography.
- calculated_host_listings_count_entire_homes
The number of Entire home/apt listings the host has in the current scrape, in the city/region geography.
- calculated_host_listings_count_private_rooms
The number of Private room listings the host has in the current scrape, in the city/region geography.
- calculated_host_listings_count_shared_rooms
The number of Shared room listings the host has in the current scrape, in the city/region geography.
- reviews_per_month
The average number of reviews per month the listing has over the lifetime of the listing.
airbnb_reviews
A data.frame with 5679 rows and 6 columns
- listing_id
Unique identifier for the listing
- id
Unique identifier for the review
- date
Date of the review
- reviewer_id
Unique identifier for the reviewer
- reviewer_name
Name of the reviewer
- comments
Text of the review
Source
https://insideairbnb.com/get-the-data/
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