A Airbnb dataset sample of over 1000 property listings. Dataset was extracted using the Bright Data API.
property_id
: A unique identifier for the property listing on Airbnbname
: Title or name of the Airbnb property listingurl
: The original URL to the Airbnb property listingfinal_url
: Updated URL, possibly after any redirects or modificationslocation
: General location information of the propertycategory
: Type or category of the Airbnb propertyprice
: Cost per night for renting the propertyimage
: URLs or references to images of the propertydescription
: Textual details describing the Airbnb propertyguests
: Number of guests the property can accommodateratings
: Average rating based on guest reviewsreviews
: Number of reviews received for the propertyseller_info
: Information about the property owner or hostpets_allowed
: Indicates if pets are allowed in the property (True/False)house_rules
: Rules or guidelines set by the property owneramenities
: List of amenities or facilities provided by the propertyavailable_dates
: Dates when the property is available for bookinglat
: Latitude coordinates of the propertylong
: Longitude coordinates of the property
And a lot more.
This is a sample subset which is derived from the "Airbnb Properties Information (public data)" dataset which includes more than 11,000,000 companies.
Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Dataset delivery type options: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP.
Update frequency: Once, Daily, Weekly, Monthly, Quarterly, or Custom basis.
Data enrichment available as an addition to the data points extracted: Based on request.
Keep a close watch on competitor locations, property listings, customer ratings, and reviews. Pinpoint areas where your listings and pricing can be optimized to surpass your competitors.
Gain insights into customer opinions about your brand and competitors. Detect shifts in consumer preferences and market trends, allowing you to adjust your strategy to maintain or enhance brand reputation.
Uncover popular destinations and newly listed properties on Airbnb to stay ahead of industry trends. Leverage Airbnb data for in-depth market analysis, driving machine learning initiatives, and crafting innovative offerings.
The Bright Initiative offers access to Bright Data's Web Scraper APIs and ready-to-use datasets to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application here.