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,...

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

Dataset

This dataset was created by Benjamin Bartlett

Released under CC0: Public Domain

Contents

These are the Airbnb statistics on gross revenue by country.

Airbnb has a total of 6,132 employees that work for the company. 52.5% of Airbnb workers are male and 47.5% are female.

Leverage our Airbnb dataset to gain comprehensive insights into global short-term rental markets. Track property details, pricing trends, reviews, availability, and amenities to optimize pricing strategies, conduct market research, or enhance travel-related applications. Data points may include listing ID, host ID, property type, price, number of reviews, ratings, availability, and more. The dataset is available as a full dataset or a customized subset tailored to your specific needs.

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

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.

Snapshot img

Vacation Rental Market Size 2025-2029

The vacation rental market size is estimated to increase by USD 22 billion, growing at a CAGR of 4.1% between 2024 and 2029. The industry's expansion and the rising popularity of short-term vacation rentals are driving substantial market growth. The vacation rental market is experiencing significant growth, driven by the expanding tourism industry and the increasing preference for short-term stays in vacation rental properties. This trend is further fueled by the convenience of instant booking features, which allow travelers to secure their accommodations with ease. However, the market also faces challenges, including the risks associated with fraudulent vacation rental listings. These risks can lead to financial losses and safety concerns for travelers, making it crucial for market participants to prioritize security measures and transparency. Overall, the vacation rental market is poised for continued growth, with opportunities for innovation and improvement in areas such as customer experience, safety, and technology integration. The market's future looks promising, with opportunities for innovation in cultural tourism and enhancements in areas like customer experience, safety, and technology integration.

What will be the size of Market during the Forecast Period?

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Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.

Management

  Managed by owners
  Professionally managed


Method

  Offline
  Online


Type

  Home
  Apartments
  Resort/Condominium
  Others


Geography

  Europe

    UK
    France
    Italy


  North America

    Canada
    US


  APAC

    China
    India
    Japan


  Middle East and Africa

    South Africa


  South America

    Brazil

Which is the largest segment driving market growth?

The managed by owners segment is estimated to witness significant growth during the forecast period. Vacation rentals have emerged as a significant segment in the tourism industry, with B2C enterprises facilitating bookings through various sales channels. According to industry associations and third-party studies, vacation rentals account for a substantial portion of consumer spending on accommodation and features such as spas, with tourism spending projected to increase due to rising internet and device penetration. Forecasting techniques, such as time series forecasts and stationarity of data analysis, are used to estimate short-term trends in the vacation rental market.

Get a glance at the market share of various regions. Download the PDF Sample

The managed by owners segment accounted for USD 48.5 billion in 2019 and showed a gradual increase during the forecast period. These estimates consider factors like rental homes in the accommodation segment, resorts segment, and booking modes, including offline and online. Market players invest in acquisitions and mergers to expand their offerings, with trends favoring short-term rentals and eco-friendly vacation rentals. Statistical offices and trade associations provide price indices to help owners set rental rates based on local market conditions, ensuring flexibility and competitiveness. Consumer preferences for privacy, space, and flexibility continue to drive demand for vacation rentals in the travel industry.

The vacation rental market has grown significantly with the rise of short-term rentals and vacation homes, supported by online booking platforms and property management solutions. Luxury vacation rentals cater to high-end travelers seeking unique travel experiences. HomeAway and Airbnb alternatives have expanded options for tourists, while local tourism benefits from the convenience of digital travel solutions. These trends are shaping the future of the vacation rental market, driving growth and innovation.

Which region is leading the market?

For more insights on the market share of various regions, Request Free Sample

Europe is estimated to contribute 32% to the growth of the global market during the market forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

The European vacation rental market is experiencing significant growth due to the rising travel trend and the preference for unique experiences over traditional accommodations. Travelers seek more personalized and cost-effective options, leading to the increasing popularity of vacation rentals such as hostels and camping sites. Ancient ruins and historical sites add to Europe's allure, making vacation rentals an attractive choice for tourists. However, the availability of properties and restrictions on ren

Snapshot img

Short Term Vacation Rental Market Size 2025-2029

The short term vacation rental market size is forecast to increase by USD 114.1 billion at a CAGR of 13.5% between 2024 and 2029.

The market is experiencing significant growth due to the expanding tourism industry and the increasing preference for flexible and affordable accommodation options. Technological advancements are revolutionizing the sector with online booking platforms, property management software, and smart home technology becoming the norm. However, inconsistency in providing quality vacation rentals remains a challenge. To enhance the guest experience, some rental properties are integrating spa and wellness facilities, while others are exploring the use of Augmented Reality to offer virtual tours. These trends reflect the industry's commitment to delivering superior guest experiences and meeting evolving traveler demands.

What will be the Size of the Short Term Vacation Rental Market During the Forecast Period?

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The short-term rental market, a segment of travel and tourism, has experienced significant growth in recent years, offering budget-friendly accommodations for both leisure and work travelers. With the rise of platforms like Airbnb and Booking.Com, this accommodation type has gained popularity among millennials and international travelers seeking unique, aesthetic stays. The market's size is substantial, with spending on services and goods in this sector continuing to increase. Emerging markets and low airfare prices have contributed to the market's expansion. Work-from-home trends have also driven demand for short-term rentals, allowing travelers to maintain productivity while enjoying eco-friendly and sustainable amenities.
Property owners benefit from the use of online booking platforms and property management software, streamlining the rental process. Technological trends, such as virtual tours, augmented reality, and innovative solutions, enhance the guest experience. The real estate industry has taken notice, with many investing in short-term rental properties. However, concerns regarding fake listings and safety remain, highlighting the need for continued industry regulation. Female visitors represent a significant portion of the market, with a focus on environmentally-friendly rentals and sustainable amenities becoming increasingly important. As the market continues to evolve, it is poised for continued growth and innovation.

How is this Short Term Vacation Rental Industry segmented and which is the largest segment?

The short term vacation rental industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Mode Of Booking

  Offline
  Online


Management

  Managed by owners
  Professionally managed


Type

  Apartments and condominiums
  Villas and luxury homes
  Cottages and cabins
  Resorts and bungalows
  Others


Geography

  Europe

    Germany
    UK
    France
    Italy


  North America

    Canada
    US


  APAC

    China
    Japan


  Middle East and Africa



  South America

By Mode Of Booking Insights

The offline segment is estimated to witness significant growth during the forecast period. Offline segment had high demand previously when Internet penetration was not high, as word of mouth and repeat business were the most powerful factors for offline bookings. At present, some people are still hesitant to book their accommodation online. The main reason for this is people's lack of faith in online reservations. Another reason people choose to book short term vacation rentals offline is to ensure that they get the best rate. People generally think that by booking hotels offline, they will be able to negotiate with the staff or get extra discounts. Satisfied guests may become repeat customers, contributing to guest loyalty and positive word-of-mouth referrals. Thus, these factors will boost the growth of the offline segment and enhance the growth of the global short term vacation rental market during the forecast period.

Get a glance at the market report of share of various segments Request Free Sample

The Offline segment was valued at USD 87.10 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

Europe is estimated to contribute 32% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market size of various regions, Request Free Sample

The European short-term vacation rental market is projected to expand due to the rising demand for travel and tourism, particularly for budget-friendly accommodations.

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

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.

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  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:

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  Our travel datasets are available in multiple formats (JSON, CSV, Excel) and can be delivered via 
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  Stay ahead in the travel industry with high-quality, structured data that powers smarter decisions.

These are the cities that had the most demand. London is the most popular city.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Airbnb (ABNB) Stock: A Travel Revolution in the Making

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

According to data from Airbtics.com, the share of international Airbnb guests in Mexico slightly surpassed domestic travelers in May 2020. In April, local tourists accounted for over half of the guests that used the popular online lodging platform, overturning the trend registered in previous months. From November 2019 to March 2020, the country registered the highest shares of domestic Airbnb guests, with figures above 63 to nearly 70 percent. In 2019, domestic spending accounted for 85 percent of total spending on travel and tourism in Mexico.

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

A merged dataset of the Hotels, Motels, B&Bs, and Boarding Houses and the Short-Term Rentals datasets.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Airbnb Stock: Is It a Buy, Sell, or Hold for the Next 3 Months?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This statistic shows the the level of Airbnb customer satisfaction in the United States and Europe from 2015 to 2017. In 2017, 55 percent of Airbnb users were 'very satisfied' with their experience.