Airbnb Product Dataset

Unlock strategic commercial intelligence across the global short-term rental (STR) and alternative accommodation market with our enterprise-grade airbnb.com web scraping dataset. Harvested directly across Airbnb’s mobile app and global web portals, this structured dataset aggregates millions of active property listings across 100,000+ cities and 220+ countries and regions. By capturing rich listing metadata—including dynamic nightly pricing, total stay costs, host payout rules, cleaning fees, minimum stay requirements, Superhost status, Guest Favorite badges, amenity features, guest review scores, and precise geolocation coordinates—we empower real estate investors, property managers, hospitality analysts, and dynamic pricing platforms with clean, ready-to-analyze data without extraction friction.

Navigating Airbnb’s location-sensitive dynamic pricing algorithms, date-blocked availability calendars, multi-currency conversion feeds, localized host rules, and sophisticated anti-scraping defenses requires specialized data extraction engineering. Our automated web scraping infrastructure coordinates mobile API emulation, global residential proxy rotation, geo-targeted IP routing, CAPTCHA bypass, and schema normalization to guarantee 99.9% pipeline reliability and exceptional data precision. Whether you are conducting property yield modeling, monitoring regional market supply shifts, benchmarking short-term rental performance against hotel chains, or training AI-driven hospitality revenue management algorithms, our dataset eliminates scraper maintenance overhead, delivering standardized feeds via JSON, CSV, or direct cloud storage integrations.

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Detailed schema attributes, formats, and data dictionary for Airbnb Product Dataset.