What makes your data unique? - We have our proprietary AI to clean outliers and to calculate occupancy rate accurately.

How is the data generally sourced? - Web scraped data from Airbnb. Scraped on a weekly basis.

What are the primary use-cases or verticals of this Data Product? - Tourism & DMO: A one-page CSV will give you a clear picture of the private lodging sector in your entire country. - Property Management: Understand your market to expand your business strategically. - Short-term rental investor: Identify profitable areas.

Do you cover country X or city Y?

We have data coverage from the entire world. Therefore, if you can't find the exact dataset you need, feel free to drop us a message. Our clients have bought datasets like 1) Airbnb data by US zipcode 2) Airbnb data by European cities 3) Airbnb data by African countries.

In 2007, a cash-strapped Brian Chesky came up with a shrewd way to pay his $1,200 San Francisco apartment rent. He would offer “Air bed and breakfast”, which consisted of three airbeds,...

Our Airbnb data scraping solutions offer unparalleled access to extensive data from listings worldwide. In seconds, extract vital information such as host details, property addresses, location specifics, pricing, availability, star ratings, guest reviews, images, and more. This service is invaluable for those in the travel and tourism industry seeking a comprehensive understanding of market trends and customer preferences.

Use our scraped Airbnb data to: - Monitor Real-Time Market Changes: Stay updated with the latest price changes and listing details in your selected locations. - Forecast Pricing Trends: Predict future pricing for specific locations, enhancing your strategy for the upcoming tourist season. - Identify Market Trends: Discover emerging trends, gaining a competitive edge by adapting your pricing and offers accordingly. - Understand Customer Preferences: Dive deep into customer expectations concerning price ranges, property sizes, features, and local infrastructure. - Sentiment Analysis on Reviews: Employ sentiment analysis on reviews to pinpoint the most successful locations, understanding customer satisfaction at a deeper level. - Data-Driven Decision Making: Base your decisions on robust data when considering opening or exploring new spots, especially those away from mainstream destinations.

Our service ensures that you receive the most comprehensive and up-to-date information, in user-friendly formats, to support your business decisions and strategies in the dynamic world of travel and hospitality.

With a decade-long track record in data extraction, PromptCloud is your go-to partner for reliable, high-quality Airbnb data Our stringent data verification process ensures the highest level of data accuracy, offering you trustworthy insights for informed decision-making.

We are committed to putting data at the heart of your business. Reach out for a no-frills PromptCloud experience- professional, technologically ahead and reliable.

London is the city with the most Airbnbs listings in the world at 156,511.

Context Since 2008, guests and hosts have used Airbnb to travel in a more unique, personalized way. As part of the Airbnb Inside initiative, this dataset describes the listing activity of homestays in Seattle, WA.

Content The following Airbnb activity is included in this Seattle dataset:

• Listings, including full descriptions and average review score
• Reviews, including unique id for each reviewer and detailed comments
• Calendar, including listing id and the price and availability for that day

Inspiration - Can you describe the vibe of each Seattle neighborhood using listing descriptions? - What are the busiest times of the year to visit Seattle? By how much do prices spike? - Is there a general upward trend of both new Airbnb listings and total Airbnb visitors to Seattle?

Inside Airbnb is an independent, non-commercial set of tools and data that allows you to explore how Airbnb is really being used in cities around the world.By analyzing publicly available information about a city's Airbnb's listings, Inside Airbnb provides filters and key metrics so you can see how Airbnb is being used to compete with the residential housing market.With Inside Airbnb, you can ask fundamental questions about Airbnb in any neighbourhood, or across the city as a whole. Questions such as: "How many listings are in my neighbourhood and where are they?""How many houses and apartments are being rented out frequently to tourists and not to long-term residents?""How much are hosts making from renting to tourists (compare that to long-term rentals)?""Which hosts are running a business with multiple listings and where they?"The tools are presented simply, and can also be used to answer more complicated questions, such as: "Show me all the highly available listings in Bedford-Stuyvesant in Brooklyn, New York City, which are for the 'entire home or apartment' that have a review in the last 6 months AND booked frequently AND where the host has other listings."These questions (and the answers) get to the core of the debate for many cities around the world, with Airbnb claiming that their hosts only occasionally rent the homes in which they live.In addition, many city or state legislation or ordinances that address residential housing, short term or vacation rentals, and zoning usually make reference to allowed use, including: how many nights a dwelling is rented per yearminimum nights staywhether the host is presenthow many rooms are being rented in a buildingthe number of occupants allowed in a rentalwhether the listing is licensedThe Inside Airbnb tool or data can be used to answer some of these questions.The data behind the Inside Airbnb site is sourced from publicly available information from the Airbnb site.The data has been analyzed, cleansed and aggregated where appropriate to faciliate public discussion. Read more disclaimers here.If you would like to do further analysis or produce alternate visualisations of the data, it is available below under a Creative Commons CC0 1.0 Universal (CC0 1.0) "Public Domain Dedication" license.

These Airbnb statistics detail how fast Airbnb is currently growing and where it’s going in the future.

Data was downloaded from: http://insideairbnb.com/get-the-data.html Data was compiled on 31 August, 2019

Files description: - listings_detailed.csv - Detailed Listings data for Stockholm - reviews_detailed.csv - Detailed Review Data for listings in Stockholm - listings.csv - Summary information and metrics for listings in Stockholm (good for visualisations). - reviews.csv - Summary Review data and Listing ID (to facilitate time based analytics and visualisations linked to a listing).

As of December, 2024, there were over 95 thousand listings for room and apartment rentals in London on the Airbnb website, the highest of any other major European city. Airbnb listings were also high in Paris, Rome and Madrid. Paris accounted for around 91 thousand listings, while Rome and Madrid had over 35 and 26 thousand, respectively. Controversy of Airbnb in Europe Airbnb has become an increasingly popular option for tourists looking for local accommodation. Visitors are attracted to using Airbnb properties instead of hotels and other traditional travel accommodation mainly due to cheaper prices, but also for the location, and to gain an authentic experience. However, the site is facing ongoing legal problems, with some destinations moving to ban or restrict rentals from the site due to them worsening housing problems and undermining hotel regulations. Many European cities, including Amsterdam and Paris, have placed limits on the length of rentals, and others such as Barcelona have introduced strict regulations for hosts. The rise of Airbnb Airbnb is one of the most successful companies in the global sharing economy. The company was founded in San Francisco, California in 2008, after being conceived by two entrepreneurs looking for a way to offset their high rental costs. Airbnb was developed as an online platform for hosts to rent out their properties on a short-term basis. It now competes with other online travel booking websites including Booking.com and Expedia.

This is the complete breakdown of how much revenue Airbnb makes in commission from listings in each region.

"The data in this spreadsheet were transcribed from the dataset referenced in Airbnb s Dec. 1, 2015, blog post. Because Airbnb did not allow the data to be downloaded, photographed, or copy-pasted, BuzzFeed News copied the data manually over a series of three visits with the company. Some of the worksheets have not been copied in full; ""[...]"" indicates that a particular column of data continues in the original, but were not transcribed. To the fullest extent possible, BuzzFeed News attempted to avoid transcription errors; some, however, may have snuck through."

These are the top 10 cities in terms of gross revenue on Airbnb:

Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.

Key Travel Datasets Available:

  Hotel & Rental Listings: Access detailed data on hotel properties, short-term rentals, and vacation stays from platforms like 
    Airbnb, Booking.com, and other OTAs. This includes property details, pricing, availability, guest reviews, and amenities.

  Real-Time & Historical Pricing Data: Track hotel room pricing, rental occupancy rates, and pricing trends 
    to optimize revenue management and competitive analysis.

  Restaurant Listings & Reviews: Explore restaurant data from Tripadvisor, OpenTable, Zomato, Deliveroo, and Talabat, 
    including restaurant details, customer ratings, menus, and delivery availability.

  Market & Trend Analysis: Use structured datasets to analyze travel demand, seasonal trends, and consumer preferences 
    across different regions.

  Geo-Targeted Data: Get location-specific insights with city, state, and country-level segmentation, 
    allowing for precise market research and localized business strategies.



Use Cases for Travel Datasets:

  Dynamic Pricing & Revenue Optimization: Adjust pricing strategies based on real-time market trends and competitor analysis.
  Market Research & Competitive Intelligence: Identify emerging travel trends, monitor competitor performance, and assess market demand.
  Travel & Hospitality App Development: Enhance travel platforms with accurate, up-to-date data on hotels, restaurants, and rental properties.
  Investment & Financial Analysis: Evaluate travel industry performance for investment decisions and economic forecasting.



  Our travel datasets are available in multiple formats (JSON, CSV, Excel) and can be delivered via 
  API, cloud storage (AWS, Google Cloud, Azure), or direct download. 
  Stay ahead in the travel industry with high-quality, structured data that powers smarter decisions.

Airbnb, a home sharing economy platform, gives users an alternative to traditional hotel accommodation by allowing them to rent accommodation from people who are willing to share their homes. The platform also allows consumers to book "experiences" in the regions they visit. In 2024, Airbnb reported over 492 million booked nights and experiences. How much revenue does Airbnb make? In 2024, the total revenue of Airbnb worldwide increased by nearly ten percent over the previous year. This continued the upward trend which the company has experienced since recovering from the coronavirus (COVID-19) pandemic. North America generated the highest share of Airbnb’s worldwide revenue in 2024, at five billion U.S. dollars. How many people visit the Airbnb website? Airbnb ranked third among the most popular travel and tourism websites worldwide based on average monthly visits, behind booking.com and tripadvisor.com. In 2024, airbnb.com saw its highest number of unique global visitors in March, at 101 million. Meanwhile, Airbnb ranked fourth among leading travel apps globally, with over 75 million downloads in 2024.

Overview:

This dataset consists of AirBnB listings with property descriptions, reviews, and other metadata.

  Data:

https://insideairbnb.com/san-francisco/

  Data Dictionary:

Field Type Calculated Description Reference

id integer

Airbnb's unique identifier for the listing

listing_url text y

scrape_id bigint y Inside Airbnb "Scrape" this was part of

last_scraped datetime y UTC. The date and time this listing was "scraped".

source text

One… See the full description on the dataset page: https://huggingface.co/datasets/bstraehle/airbnb-san-francisco-202403.

The current average price per night globally on Airbnb is $137 per night.

A list of buildings excluded from short-term rental activity under the Shared Housing Ordinance. See https://www.cityofchicago.org/city/en/depts/bacp/provdrs/bus/alerts/2016/july/Prohibited_Buildings_List_Affidavit.html for more information on the exclusion process.

The average host on Airbnb earns $13,800 annually. The fastest-growing host demographic is seniors.

As of December 2024, there were over 90,000 Airbnb listings for apartment and room rentals in London. This was over ten times the number of listings recorded in the Scottish capital city, Edinburgh, where the figure stood at 6,811. The English capital also had the largest number of Airbnb listings among major European cities in September 2023, with Paris being the only other city to have over 50,000 listings.

This dataset includes the locations of businesses that pay taxes to the City and County of San Francisco. Each registered business may have multiple locations and each location is a single row. The Treasurer & Tax Collector’s Office collects this data through business registration applications, account update/closure forms, and taxpayer filings. The data is collected to help enforce the Business and Tax Regulations Code including, but not limited to: Article 6, Article 12, Article 12-A, and Article 12-A-1. http://sftreasurer.org/registration