Best Airbnb Data Providers of 2026: Detailed Breakdown

In this guide, you will see:

• What Airbnb data is, why it matters, and the main challenges involved in collecting it.
• How relying on an Airbnb data provider makes the data collection process much easier.
• The main factors to consider when selecting such services.
• A detailed comparison of the 7 best Airbnb data providers.

Let’s dive in!

TL;DR: Quick Comparison of the Best Airbnb Data Providers

Compare the top Airbnb data providers at a glance with the table below:

Provider	Coverage	Infrastructure	Airbnb Data Scraping API	Data Access API	Historical Datasets	Data Updates	AI Integration	Compliance	Free Sample/Trial	Pay-as-you-go Option	Pricing
Bright Data	12.4M+ records with listings, prices, reviews, ratings, amenities, property types, images, and more	Enterprise-grade, scalable, 99.99% uptime & 99.99% success rate infrastructure	✅	✅	✅	One-time, monthly, quarterly, biannual, etc.	✅ (via MCP, LLM-optimized data, and API-ready for AI tool integration)	GDPR, CCPA, SOC2 Type II, ISO 27001, CSA STAR Level 1	✅	✅	Datasets: starting at $250/100K records; Scraper: starting at $1.50/1K records
AirDNA	Listings, prices, occupancy, ADR, revenue, amenities, and amenities	Enterprise-level API	❌	✅	✅	— (Undisclosed)	Limited to AI-driven platform insights	GDPR	❌	❌	Undisclosed
Mashvisor	11M+ short-term rental property monitored	Developer-focused API with multi-level querying	❌	✅	✅	Daily	Limited to AI-driven platform insights	— (Undisclosed)	✅	❌	Platform: $39.99–$99.99/month + API custom pricing
AirROI	Millions of properties across 190+ countries	Scalable API with 99.9% uptime SLA	❌	✅	✅	— (Undisclosed)	Limited to AI-driven platform insights	— (Undisclosed)	❌	✅	$0.10–$1.00 per API call
Airbtics	12M+ active listings across 180+ countries	RESTful API built for developers	❌	✅	✅	Weekly	Limited to AI-driven platform insights	GDPR	✅	✅	$0.01–$0.50 per API call; Platform: €27–€54/month
Real Data API	Host, address, prices, reviews, ratings, capacity, amenities, property types, and other info	RESTful API infrastructure limited to 50 concurrent requests	✅	❌	❌	— (Undisclosed)	❌	— (Undisclosed)	✅	❌	Undisclosed
Inside Airbnb	Listings, availability, reviews, neighborhood info from dozens of cities globally	— (no infrastructure, only manual file downloads)	❌	❌	✅	Quarterly	❌	Creative Commons 4.0	— (Always free)	❌	Free

Getting Started with Airbnb Data

Time to understand the what, why, and how of Airbnb data. Having this context will help you better understand Airbnb data providers and the value they bring to the table.

Understanding Airbnb Data and Its Importance

Airbnb has over 5 million hosts, with the average host earning around $13,800 annually. Even more impressive, the platform boasts 7.7+ million active listings worldwide, spread across over 100,000 cities.

Airbnb’s current market capitalization is around $80 billion. Estimates suggest there are roughly 1.5 billion guest check-ins per year, giving Airbnb a 20%+ share of the global vacation rental market.

These statistics highlight that Airbnb data is pivotal for understanding the dynamics of the short-term rental and vacation real estate markets. Access to this data provides valuable insights into pricing, occupancy trends, listing performance, and overall market behavior.

Businesses and professionals use Airbnb data to support a wide range of strategic and operational decisions, including:

• Identifying high-demand locations and investment opportunities.
• Monitoring competitor pricing and occupancy strategies.
• Optimizing listing performance and revenue management.
• Analyzing guest trends and preferences.
• Forecasting vacation rental market growth and seasonal demand.

Types of Airbnb Data

Airbnb rental data can be grouped into the following categories:

• Listing data: Property details, descriptions, amenities, photos, and host-defined descriptions.
• Pricing data: Historical and real-time rates, seasonal fluctuations, discounts, cleaning fees, currency details, and dynamic pricing strategies.
• Availability data: Calendar information showing when properties are booked or open for reservations.
• Review data: Guest ratings, written reviews, and sentiment insights reflecting satisfaction and property reputation.
• Occupancy and booking data: Booking frequency, occupancy rates, stay duration trends, plus rules like minimum stay, check-in/out times, and cancellation policies.
• Host profile data: Host experience, superhost status, response rates, and the number of properties managed, useful for distinguishing professional from amateur operators.
• Location data: Geographic coordinates, neighborhood details, proximity to attractions, and market-level insights.

All these data types can also be aggregated to provide in-depth insights across multiple listings, cities, or regions. That way, Airbnb data can support investment decisions, competitor analysis, and market forecasting.

Why Sourcing Airbnb Data Is Challenging

As one of the leaders in the vacation rental market, Airbnb knows how valuable its data is. That is why it takes precautions to prevent scraping bots from automatically collecting information, even if it is publicly available on its platform.

The main challenges you are likely to encounter when attempting to automate Airbnb data scraping include:

• Heavy JavaScript rendering: Airbnb relies extensively on JavaScript, demanding a scalable browser automation system to navigate, interact, and trigger data loading.
• IP blocking and rate limiting: Excessive requests from a single IP can lead to temporary or permanent bans, necessitating IP rotation and proxy management.
• CAPTCHAs: Verification challenges are used to confirm that the user is human, requiring CAPTCHA-solving mechanisms.
• Unstructured listing descriptions: Hosts can write property descriptions in plain text with inconsistent formatting, making it difficult to scrape that information consistently.

Note: Airbnb has an official API, but it is not publicly available for general use or market data analysis. Access is granted only to a few approved partners.

Why Counting on an Airbnb Data Provider Is the Right Strategy

The obstacles outlined earlier make automated Airbnb data collection quite complex. That is why many businesses rely on specialized data providers to safely and efficiently access accurate insights.

An Airbnb data provider gathers, cleans, structures, and delivers all types of Airbnb data (or portions of it). These providers give you direct access to the data you need, eliminating concerns about limitations or other challenges.

Airbnb data is generally made available in two primary ways:

• Airbnb datasets: Pre-collected datasets containing historical and regularly updated Airbnb data. They are ideal for market analysis, trend research, and training machine learning models (which need a lot of past data).
• Airbnb scraping solutions: Tools that retrieve live data directly from Airbnb listings, search results, host pages, etc. Web scraping is best for use cases that require up-to-date information, such as tracking pricing, following availability, or monitoring competitors.

Most organizations combine datasets for historical analysis with scraping solutions to gain real-time insights, achieving a full and accurate market view.

Aspects to Evaluate When Selecting the Best Airbnb Data Providers

Airbnb data is so in-demand that there is a plethora of data providers online. At the same time, not all of them are worth exploring. To identify the best options in a structured way, you should compare them across common criteria.

The most important factors to consider when evaluating Airbnb data providers are:

• Data scope: The types of Airbnb data available, such as listings, prices, reviews, occupancy, and host information.
• Data timeliness: Whether the provider offers static datasets with historical Airbnb data or real-time data through scraping solutions.
• Infrastructure: The provider’s scalability, uptime, success rates, and overall reliability.
• Ease of use: The skills, tools, and technical components needed to access and use the data.
• Compliance: Adherence to GDPR, CCPA, and other relevant data privacy regulations.
• Pricing: The provider’s pricing structure, billing models, and availability of free trials or sample data to evaluate quality before committing.

Top 7 Airbnb Data Providers

Let’s take a look at the list of the best Airbnb data providers, carefully chosen, ranked, and assessed based on the criteria outlined earlier.

1. Bright Data

Started as a proxy provider, Bright Data has grown into a leading web scraping and data solutions company. Among Airbnb data providers, it distinguishes itself through an enterprise-grade, highly scalable, and AI-ready infrastructure.

For Airbnb data, Bright Data offers three complementary collection products designed to support both historical analysis and real-time intelligence:

1. Airbnb Datasets: Pre-fetched, curated Airbnb data available in JSON, CSV, and Parquet formats, with flexible, record-based pricing. The data is cleaned, validated, and continuously updated, making it well-suited for analytics platforms, BI tools, and LLM ingestion. These datasets cover listings, prices, reviews, ratings, amenities, locations, host profiles, and other key signals for market analysis and trend forecasting.
2. Airbnb Scraper: A scraping endpoint for on-demand data extraction at scale. It enables real-time scraping of Airbnb listings at both city-level and individual-listing-level, while handling anti-bot bypass for you. The scraper is accessible via API for automated pipelines and integrations, as well as through a no-code interface for non-technical users.
3. Airbnb MCP Server tool: A specialized tool that exposes Airbnb data directly to AI agents and LLM-driven applications via Bright Data’s Web MCP. It enables Airbnb data to be queried, consumed by AI agents, workflows, and pipelines.

All Airbnb data products are built on Bright Data’s core infrastructure, which achieves 99.99% uptime and a 99.99% success rate. This reliability is powered by a global proxy network of over 150 million IPs and advanced anti-bot technologies. It is no surprise that Bright Data is trusted by more than 20,000 customers worldwide, including numerous Fortune 500 companies.

Taken together, these offerings position Bright Data as the most comprehensive and scalable Airbnb data provider on the market!

🏆 Great for: Enterprise-grade, large-scale Airbnb data extraction, AI/ML workflows, and real estate market research.

Data scope:

• Over 12.4 million records of Airbnb data covering listings worldwide, including rental locations, pricing, reviews, ratings (stars), amenities, property types, images, and other listing attributes.
• Supports use cases such as hospitality market research, competitor benchmarking, guest sentiment analysis, short-term rental trend forecasting, and many others.

Infrastructure:

• Enterprise-grade reliability, with 99.99% uptime and 99.99% success rates.
• Pre-collected and on-demand datasets delivered as validated data in LLM-ready format and structure.
• Infinitely scalable Airbnb Scraper for large-scale data extraction, backed by a global proxy network of 150M+ IPs across 195 countries.
• Bulk scraping support, enabling high-volume requests (up to 5k URLs per run) for efficient large-area or multi-listing collection.
• Advanced anti-blocking stack, including CAPTCHA solving, automatic IP rotation, user-agent rotation, and custom headers to ensure high success rates.
• Airbnb scraping tool available via MCP, allowing scraped Airbnb data to be consumed directly by AI agents and LLM-powered workflows.
• Option for accessing terabytes of historical data, including from Airbnb, via Archive API.
• 24/7 global support, including managed data acquisition services for teams without in-house scraping expertise.
• Standard SLAs for all users, with custom SLAs and dedicated support options available for enterprise customers.

Data timeliness:

• Historical datasets with continuously refreshed Airbnb data.
• Configurable delivery schedules for datasets, including one-time runs or recurring scrapes (e.g., monthly, quarterly, biannual, etc.).
• Incremental updates supported by rerunning scrapes to capture new or changed listings, prices, reviews, and availability.
• Dedicated Airbnb Scraper API designed to collect fresh, real-time data directly from Airbnb listings and search results.

Ease of use:

• Supports multiple structured data formats, including JSON, NDJSON, CSV, XLSX, and Parquet.
• Delivers data directly to preferred storage destinations such as Amazon S3, Google Cloud Storage, Azure, Snowflake, and SFTP.
• Promises a no-code scraping experience directly on the web platform, with no technical expertise required.
• Provides an API-based scraper for automation, scheduling, and seamless integration into existing data pipelines, AI agents, and external systems.
• Includes code examples and SDKs in Python, Node.js, cURL, Java, Ruby, PHP, and Go for simplified integration.
• Enables managed data retrieval services for custom Airbnb datasets with minimal or no technical effort.
• Requires minimal technical knowledge for standard use cases, while advanced workflows rely on standard API integration skills.

Compliance:

• GDPR and CCPA compliant, as well as adherence to other privacy regulations.
• Data is collected responsibly and exclusively from public sources.
• Certified for SOC 2 Type II, ISO 27001, CSA STAR Level 1, and other industry-standard security regulations.

Pricing:

• Free trial available for scraping solutions and free samples provided for datasets.
• Airbnb datasets start from $250 per 100K records.
• Airbnb Scraper starts at $1.50 per 1K records.

2. AirDNA

AirDNA is an analytics platform specializing in the short-term rental industry. It provides hosts, property managers, and investors with data and tools to analyze markets, estimate property revenue, identify investment opportunities, and optimize their listings on Airbnb (and Vrbo).

For programmatic access to those insights, AirDNA comes with an enterprise API delivering detailed property, market, and performance data. Additionally, all users can export reports directly from the web platform.

🏆 Great for: Market performance analysis and investment insights.

Data scope:

• Includes listings, prices, occupancy, ADR (Average Daily Rate), revenue, and amenities.
• Covers property-level, market-level, and comparable property data.
• Supports performance benchmarking, competitor comparisons, submarket insights, and dynamic pricing recommendations.

Data timeliness:

• Covers historical market data for defined periods.
• Offers real-time and future-looking (up to 6 months) supply and demand data.

Infrastructure:

• API infrastructure built for enterprises.

Ease of use:

• Intuitive web tools for data exploration, analysis, and more.
• Export options to CSV and PDF for single or bulk property reports from the platform with just a few clicks.
• Requires advanced skills for full data integration via API into pipelines.

Compliance:

• GDPR-compliant.

Pricing:

• No free trial.
• Pricing not disclosed.
• You must contact sales to obtain a valid API key.

3. Mashvisor

Mashvisor is an AI-driven real estate analytics platform that helps investors identify, analyze, and compare profitable properties, both traditional and short-term rentals. It equips you with data-driven insights on ROI, rental income, and market trends, using tools like heatmaps, property finders, and investment calculators to simplify decision-making.

For Airbnb data, Mashvisor offers:

• API access for detailed short-term rental metrics, including occupancy rates, daily rates, cash flow, and historical performance at city, neighborhood, street, and property levels.
• Platform exports of property and neighborhood reports in PDF, enabling easy analysis, sharing, and comparison for investment planning.

🏆 Great for: Real estate investment analysis and property-level decision-making.

Data scope:

• Covers 11M+ short-term rentals from Airbnb, as well as rental data from other platforms.
• Provides property-level and neighborhood-level data, including rental income, cash on cash return, cap rate, occupancy, Airbnb daily rates, reviews/ratings, historical rental performance, property details, tax, and sales history.

Data timeliness:

• Historical rental and performance data available.
• Data updated daily.

Infrastructure:

• API infrastructure designed with developers in mind.
• Supports querying data at multiple levels (e.g., city, neighborhood, street, zip code, and specific addresses).
• Data access via access is limited to Great Britain, Canada, Spain, Australia, France, South Africa, Saudi Arabia, Greece, and the United Arab Emirates.

Ease of use:

• Provides developer documentation and support for API integration.
• Possibility to export property and market reports directly as PDFs from the web platform.
• Easy-to-use platform for Airbnb data analysis.

Compliance: Undisclosed.

Pricing:

• 14-day free trial to explore the platform.
• Monthly plans from $39.99/month to $99.99/month.
• API access requires an enterprise plan, with custom pricing.

4. AirROI

AirROI is an AI-powered analytics platform for short-term Airbnb rentals. Its tools help hosts, property managers, and investors receive market insights and revenue projections to make informed, data-driven decisions.

As an Airbnb data provider, it offers an API to explore over 20M+ properties all over the globe. These endpoints give you access to real-time market insights, performance metrics, dynamic pricing recommendations, and revenue estimates.

🏆 Great for: Performance monitoring and dynamic pricing analysis.

Data scope:

• Tracks 20M+ properties across 190+ countries, covering Airbnb listings, prices, occupancy, reviews, amenities, host info, and performance metrics.
• The API supports listing-level, market-level, and historical data.

Data timeliness:

• Includes 15+ years of historical data for trend analysis.
• Provides real-time insights for current pricing, occupancy, and performance.

Infrastructure:

• Scalable API with 99.9% uptime SLA.
• Supports batch requests (up to 25 listings at once), with polygon/radius searches.
• Dedicated developer support.

Ease of use:

• RESTful API with interactive documentation, and code examples in multiple languages (Python, JavaScript, PHP, Java, C++).
• Multiple products available directly on the web platform, supporting a wide range of rental data analysis use cases.
• Requires basic skills to connect to the API, as well as more advanced skills to build complete Airbnb data pipelines.

Compliance: Undisclosed.

Pricing:

• Requires at least $10 to get started, with no free credits or trial.
• Pay-as-you-go plans, where you are charged for each API call.
• API calls range from $0.10 to $1.00 per call.

5. Airbtics

Airbtics is a short-term rental market research and analytics platform that helps hosts, investors, and property managers make data-driven decisions by analyzing market trends, property performance, and guest demographics.

Its Airbnb data offerings include a developer-friendly API with 12+ million listings, 12 months of historical tracking, and weekly updates, as well as direct CSV exports from the platform for offline analysis and portfolio modeling.

🏆 Great for: Investment portfolio modeling.

Data scope:

• Access to 12+ million active Airbnb listings across 180+ countries.
• Supports property-level and market-level data, including occupancy, pricing, revenue, booking patterns, seasonality, historical time-series, comps, and forecasting.

Data timeliness:

• Provides both historical and up-to-date data for market analysis and investment modeling.
• Weekly refresh of millions of listings’ calendars.
• Provides a 3-year historical dataset with daily granularity for in-depth trend analysis, along with 12 months of data tracking via the API.

Infrastructure:

• RESTful API built for developers, delivering structured JSON responses.
• Developer-friendly infrastructure for integration into dashboards, analytics tools, or property technology platforms.
• Relies on machine learning to distinguish bookings from blocked nights.
• 97%+ revenue data accuracy.

Ease of use:

• Postman collection available for simplified API testing.
• Clear documentation with endpoint references, request/response examples, and authentication guidance.
• Easy-to-use web platform with CSV export functionality for offline analysis.

Compliance:

• GDPR-compliant.

Pricing:

• Free trial available.
• Pay-as-you-go API pricing, where you are charged for each API call.
• API calls range from $0.01 to $0.50 per call, depending on the endpoint.
• Monthly platform plans range from €27/month (~$32/month) to €54/month (~$64/month).

6. Real Data API

Real Data API is a web scraping service that provides APIs to automatically extract data from websites. It also comes with ready-made datasets covering industries such as e-commerce, real estate, and travel.

Its Airbnb scraper supports automated extraction of listings, prices, reviews, host details, ratings, and occupancy. It is available as a REST API, generating output in JSON, Excel, or CSV formats for analytics and market research.

🏆 Great for: Quick Airbnb analytics.

Data scope:

• Extracts detailed listing information like host details, property addresses, prices, reviews, ratings, guest capacity, amenities, property types, superhost status, and URLs.
• Supports both destination-level scraping (entire city or area) and individual listing scraping.
• Provides review-level data, including reviewer details, comments, ratings, host responses, and posting times.
• Offers datasets for aggregated real‑estate property data.

Data timeliness:

• Provides real-time Airbnb data extraction via live scraping.
• Supports historical trend analysis through repeated scrapes, but does not provide direct historical datasets.

Infrastructure:

• RESTful API interface that supports bulk scraping, concurrent requests (up to 50), and pagination.
• Support filtering by price, amenities, property type, and host metrics.
• Integrates with residential proxy groups to bypass anti-bot measures.
• Compatible with automation platforms like Zapier, Airbyte, Slack, GitHub, Make, Google Drive, Google Sheets, and supports webhooks for event-based triggers.
• Enables scheduling, monitoring, and version control for scrapers.
• Data is produced in JSON, HTML, Excel, CSV, XML, and RSS formats.

Ease of use:

• Documentation with example JSON payloads and interactive examples.
• Node.js and Python SDKs for simplified setup.
• Scraped datasets are immediately available for download or integration into analytics workflows.

Compliance: Undisclosed.

Pricing:

• No free trial for the APIs.
• Free data samples available for the real estate datasets.
• Undisclosed pricing (you must contact the sales team).

7. Inside Airbnb

Inside Airbnb is a grassroots, mission-driven data project that scrapes public Airbnb data and makes it available through free datasets to encourage open research.

Specifically, it supports the study of the impact of short-term rentals on housing and communities, providing activists, researchers, and cities with tools to advocate for regulations addressing issues like illegal rentals and housing displacement.

🏆 Great for: Academic research, AI/ML experimentation, and policy projects.

Data scope:

• Provides detailed Airbnb data at the city and regional level, including listings, calendar/availability, reviews, and neighborhood information.
• Covers dozens of cities globally, offering summary CSVs for quick analysis and visualizations, plus GeoJSON files for mapping neighborhoods.

Data timeliness:

• Updates are quarterly, generally covering the last 12 months per city.
• Archived datasets are available for research on entire countries.
• Provides static datasets only, with no live API feeds.

Infrastructure:

• No API, just manual file downloads.

Ease of use:

• Data is accessible as CSV and GeoJSON files, compatible with Excel, R, Python, or data visualization tools.
• Data analytics and machine learning skills are required for in-depth insight extraction.

Compliance:

• Open data for research and public use, licensed under the Creative Commons Attribution 4.0 International license.

Pricing:

• Data is hosted on a publicly accessible platform with free downloads.
• Donations are encouraged for sustainability.

Conclusion

In this article, you understood what Airbnb data is, the different types of Airbnb data available, and why it is valuable. You also explored the challenges of automated data collection and how they can all be solved by relying on an Airbnb data provider.

These services give you access to Airbnb data such as property locations, prices, availability, reviews, ratings, images, and more. That is possible either through ready-to-use datasets or web scraping solutions that let you gather fresh data on demand.

Among the leading Airbnb data providers, Bright Data stands out as the top choice. Its infrastructure is highly scalable, and its Airbnb data offerings are the richest thanks to:

• Airbnb datasets with over 12.4 million records.
• A dedicated Airbnb Scraper for on-demand rental data retrieval.
• Specialized Airbnb MCP scraping tools for integration with AI agents.

Create a new Bright Data account today to discover our Airbnb data solutions!

FAQ

How to get Airbnb data?

There are two main ways to obtain Airbnb data:

1. Through an Airbnb web scraper: You can either build your own scraper or rely on a ready-made Airbnb scraping service (such as an Airbnb Scraper API). This approach lets you collect current data directly from Airbnb listing pages.
2. Using pre-collected Airbnb datasets: These are curated datasets containing historical Airbnb data that providers have already gathered and made available for immediate use.

How to scrape Airbnb?

To scrape Airbnb, you need to follow this roadmap:

1. The scraper requests the target Airbnb page.
2. The page is rendered using a browser automation tool.
3. Extraction logic collects the required data fields.
4. The scraped data is returned in the chosen output format (e.g., CSV, JSON, etc.).

In practice, scraping Airbnb is more complex due to rate limits, CAPTCHAs, and other anti-scraping mechanisms.

How to scrape Airbnb listing data?

Scraping Airbnb listing data requires the same workflow described above, with a focus on individual property pages. For a step-by-step implementation, see our guide on scraping Airbnb listings with Python.

What is an Airbnb dataset?

An Airbnb dataset is a file containing a structured collection of data extracted from Airbnb. It is usually delivered in formats such as CSV and JSON. Airbnb datasets typically include listing details, pricing, availability, location data, host information, reviews, and other real estate market–related metrics.