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.

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.

Spain Google Search Trends: Travel & Accommodations: Airbnb data was reported at 6.000 Score in 19 Mar 2025. This stayed constant from the previous number of 6.000 Score for 18 Mar 2025. Spain Google Search Trends: Travel & Accommodations: Airbnb data is updated daily, averaging 6.000 Score from Dec 2021 (Median) to 19 Mar 2025, with 1205 observations. The data reached an all-time high of 11.000 Score in 21 Jul 2024 and a record low of 0.000 Score in 01 Mar 2023. Spain Google Search Trends: Travel & Accommodations: Airbnb data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Spain – Table ES.Google.GT: Google Search Trends: by Categories.

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

In New York City, one of the United States’ most iconic destinations, Airbnb has established itself as a key player in the accommodation market. In 2025, Airbnb customers booked an average of 47 nights per stay, with an average price of 119 U.S. dollars per night. Meanwhile, the average income per property was 7,062 U.S. dollars that year. Are Airbnb rentals expensive in New York City? As of early 2024, the most expensive Airbnb properties per night in the United States were in San Francisco. This was followed by Los Angeles and San Diego. In comparison, the average cost of a night’s stay at an Airbnb property in New York City is less than half of the cost of a night in San Francisco. How many Airbnb properties are there in New York City? In early 2024, the Airbnb market in New York City offered more than 39.7 thousand properties accommodating to the different needs of visitors to the city. There are a variety of types of Airbnb properties in New York City, the most common of which were entire homes and apartments, followed by private rooms. The majority of Airbnb listings also catered to longer-term stays, in light of city regulations on housing.

Guyana Google Search Trends: Travel & Accommodations: Airbnb data was reported at 2.000 Score in 20 Mar 2025. This records a decrease from the previous number of 3.000 Score for 19 Mar 2025. Guyana Google Search Trends: Travel & Accommodations: Airbnb data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 20 Mar 2025, with 1206 observations. The data reached an all-time high of 39.000 Score in 19 Dec 2021 and a record low of 0.000 Score in 08 Mar 2025. Guyana Google Search Trends: Travel & Accommodations: Airbnb data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Guyana – Table GY.Google.GT: Google Search Trends: by Categories.

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

Brazil Google Search Trends: Travel & Accommodations: Airbnb data was reported at 8.000 Score in 19 Mar 2025. This stayed constant from the previous number of 8.000 Score for 18 Mar 2025. Brazil Google Search Trends: Travel & Accommodations: Airbnb data is updated daily, averaging 6.000 Score from Dec 2021 (Median) to 19 Mar 2025, with 1205 observations. The data reached an all-time high of 37.000 Score in 12 Jul 2022 and a record low of 0.000 Score in 20 Jun 2023. Brazil Google Search Trends: Travel & Accommodations: Airbnb data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Brazil – Table BR.Google.GT: Google Search Trends: by Categories.

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?

The online home rental services market is experiencing robust growth, driven by increasing urbanization, the rise of the sharing economy, and the convenience offered by digital platforms. The market size in 2025 is estimated at $150 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the increasing preference for short-term rentals among both business and leisure travelers contributes significantly to market expansion. Secondly, technological advancements, such as improved search functionalities, secure payment gateways, and sophisticated property management systems, enhance user experience and drive market penetration. The rise of mobile-first booking experiences further simplifies the process, attracting a broader range of users. Finally, the diversification of accommodation types, encompassing apartments, resorts, villas, and unique stays, caters to various travel preferences and budgets, fostering market diversification and expansion. However, the market faces some challenges. Regulatory hurdles in different regions regarding licensing, taxation, and safety standards can impede growth. Furthermore, competition among established players and the emergence of new entrants necessitate continuous innovation and strategic adaptation. Fluctuations in tourism and travel patterns due to global events, like economic downturns or pandemics, also introduce an element of uncertainty. Despite these challenges, the long-term outlook remains positive, driven by the ongoing shift toward digital platforms for travel and accommodation booking, and the consistently expanding global travel market. The segmentation of the market by application (commercial vs. personal) and property type (apartments, resorts, etc.) allows for targeted strategies and a deeper understanding of the specific needs and preferences within each niche.

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 revenue of Airbnb with headquarters in the United States amounted to 9.92 billion U.S. dollars in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2019 this is a total increase by approximately 5.11 billion U.S. dollars. The trend from 2019 to 2023 shows, however, that this increase did not happen continuously.

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.

Globally gross revenue from Airbnbs increased significantly from $27.69 billion in 2020 to $48.9 billion in 2021.

Bengaluru, the southern Indian city had the highest occupancy rate of over 13 percent among Airbnb listings in 2023. New Delhi followed closely with average occupancy rate of nearly 12 percent.

Chad Google Search Trends: Travel & Accommodations: Airbnb data was reported at 0.000 Score in 23 Jan 2025. This stayed constant from the previous number of 0.000 Score for 22 Jan 2025. Chad Google Search Trends: Travel & Accommodations: Airbnb data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 23 Jan 2025, with 1150 observations. The data reached an all-time high of 100.000 Score in 01 Jan 2024 and a record low of 0.000 Score in 23 Jan 2025. Chad Google Search Trends: Travel & Accommodations: Airbnb data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Chad – Table TD.Google.GT: Google Search Trends: by Categories.

Demand is calculated by the total number of nights stayed in each region.

In 2020, seven out of ten of Airbnb stays in the 27 countries of the European Union were registered in non-city areas. Among the six listed countries, five follow this same trend. Only in Czechia, the majority of Airbnb stays took place in the cities that year.

From 2017 to 2018, the number of Airbnb guests recorded in the Italian region of Piedmont experienced an increasing trend. According to data, in 2017 about 277 thousand people chose to stay in an Airbnb structure while visiting Piedmont. Then, in 2018 the number of Airbnb guests rose to 342,200.

Romania Google Search Trends: Travel & Accommodations: Airbnb data was reported at 1.000 Score in 06 Mar 2025. This stayed constant from the previous number of 1.000 Score for 05 Mar 2025. Romania Google Search Trends: Travel & Accommodations: Airbnb data is updated daily, averaging 2.000 Score from Dec 2021 (Median) to 06 Mar 2025, with 1192 observations. The data reached an all-time high of 11.000 Score in 21 Apr 2023 and a record low of 0.000 Score in 22 Jun 2023. Romania Google Search Trends: Travel & Accommodations: Airbnb data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Romania – Table RO.Google.GT: Google Search Trends: by Categories.