CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Airbnb® is an American company operating an online marketplace for lodging, primarily for vacation rentals. The purpose of this study is to perform an exploratory data analysis of the two datasets containing Airbnb® listings and across 10 major cities. We aim to use various data visualizations to gain valuable insight on the effects of pricing, covid, and more!
https://choosealicense.com/licenses/afl-3.0/https://choosealicense.com/licenses/afl-3.0/
gradio/NYC-Airbnb-Open-Data dataset hosted on Hugging Face and contributed by the HF Datasets community
The Airbnb's mobile app had been downloaded nearly ********** times in Brazil as of July 2022, according to AppMagic data. Among the listed countries, Mexico ranked second, with *********** downloads of the U.S.-based accommodation platform app. In 2021, Airbnb generated a revenue of approximately *********** U.S. dollars in Latin America.
https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain
This dataset shows main information about rooms available on AirBnB. Information come from the open data website of Air Bnb wich covered major cities worldwide.For anonymizing data, precision of geo-coordinates point is 300m.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Explore our comprehensive Airbnb Open Data dataset, featuring detailed listings, reviews, and calendar entries from New York City. Perfect for data scientists and marketers.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Comprehensive Airbnb dataset repository offering detailed vacation rental analytics worldwide including property listings, pricing trends, host information, review sentiment analysis, and occupancy rates for short-term rental market intelligence and investment research.
Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically
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,...
The Airbnb mobile app reported the highest number of downloads worldwide among the selected online travel agency and travel metasearch service apps in 2024. That year, the Airbnb app recorded almost ** million aggregated downloads on iOS and Google Play. The Booking.com app was the second most downloaded app in the ranking, with over ** million downloads. What are the most visited travel websites worldwide? While Booking.com ranked second in terms of app downloads, it was by far the most visited travel and tourism website worldwide in 2024, ranking ahead of tripadvisor.com and trip.com. When breaking down website visits to Booking.com by country, the United States, Germany, and the United Kingdom accounted for the most online traffic that year. What are the leading online travel agencies in the world? Booking.com is the flagship brand of Booking Holdings, a U.S.-based travel and tourism company that also owns Priceline, Agoda, Kayak, and OpenTable. In 2024, Booking Holdings was the leading online travel agency worldwide based on revenue. Competitor Expedia Group, whose travel brands include Expedia, Hotels.com, and Vrbo, reported the second-highest figure that year.
https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified
A BitTorrent file to download data with the title 'airbnb'
https://brightdata.com/licensehttps://brightdata.com/license
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.
The Airbnb mobile app recorded the highest number of downloads in the United States among the selected online travel agency and travel metasearch service apps in 2024. That year, the Airbnb app reported over ** million aggregated downloads on iOS and Google Play in the United States. The Expedia app was the second most downloaded app in the ranking, with roughly **** million downloads.
The Google Maps mobile app reported the highest number of downloads worldwide among the selected travel apps in 2024. That year, this app recorded nearly *** million aggregated downloads on iOS and Google Play. The Uber app was the second most downloaded app in the ranking, with almost *** million downloads. The online travel agency app market Focusing on the online travel agency (OTA) market, Airbnb topped the ranking of the OTA apps with the highest number of downloads worldwide in 2024, ahead of Booking.com. When looking at the number of downloads of leading OTA apps in the U.S. that year, Airbnb recorded again the highest figure, while Expedia ranked second in that case. How big is the travel app market? In 2023, the travel app market's global revenue reached nearly *** billion U.S. dollars and was forecast to increase steadily over the following years. When breaking down the global travel app market's revenue by country, the United States and China ranked by far as the biggest players that year, generating around *** million and *** million U.S. dollars, respectively.
Airbnb was the most downloaded travel app in Latin America in 2021 and maintained its ranking as of *********, according to data published by AppMagic. In both periods, the American short-term rental platform surpassed Booking.com, which was the second most downloaded travel app in the region. Between January and *********, each of these two apps registered over *********** downloads in major Latin American countries.
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CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Airbnb® is an American company operating an online marketplace for lodging, primarily for vacation rentals. The purpose of this study is to perform an exploratory data analysis of the two datasets containing Airbnb® listings and across 10 major cities. We aim to use various data visualizations to gain valuable insight on the effects of pricing, covid, and more!