🏠 Airbnb Listings Scraper — Search, Filter & Extract Rental Data

Extract Airbnb listings, pricing, availability, host info, amenities, and location data without an Airbnb API key. Search any city, set check-in/check-out dates, and pull structured listing data ready for export to JSON or CSV. Ideal for real estate research, competitive pricing analysis, and travel tech development.

No Airbnb API required. Works on any publicly searchable Airbnb market.

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🚀 What It Does

The Airbnb Listings Scraper enables you to bulk-extract short-term rental listing data from Airbnb for any city, date range, and guest configuration. It captures listing names, per-night pricing (including service fees and taxes), host details, room types, bed/bath counts, amenities, and precise geolocation coordinates. The actor handles Airbnb's dynamic JavaScript-heavy interface via a headless browser, automatically paginating through search results to deliver up to 500 listings per run. All data exports cleanly to JSON, CSV, Excel, or XML.

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🎯 Use Cases

• 🏘️ Real Estate Investors — Analyze short-term rental market density, average nightly rates, occupancy indicators, and host portfolio sizes by neighborhood
• 💼 Property Managers & Hosts — Benchmark your listing's price, amenities, and photos against the competition in your market
• 📊 Travel Market Analysts — Build pricing datasets to study seasonal rate fluctuations, event-driven demand spikes, and market saturation
• 🤖 Proptech Developers — Power STR revenue calculators, investment tools, or market intelligence platforms with fresh Airbnb data
• 🎓 Academic Researchers — Study housing market impacts of short-term rentals on local rental inventory and neighborhood pricing
• ✈️ Travel Startups — Aggregate Airbnb inventory for metasearch, travel planning tools, or price comparison features

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📥 Input Parameters

Field	Type	Default	Description
location	string	required	City, neighborhood, or destination name (e.g., "Barcelona, Spain", "Manhattan, New York")
checkIn	string	today	Check-in date in YYYY-MM-DD format (e.g., "2024-06-15")
checkOut	string	+7 days	Check-out date in YYYY-MM-DD format (e.g., "2024-06-22")
maxListings	integer	50	Maximum number of listings to extract (1–500)
adults	integer	2	Number of adult guests (affects pricing and availability filters)
children	integer	0	Number of children
infants	integer	0	Number of infants
currency	string	"USD"	Currency code for prices (e.g., "USD", "EUR", "GBP")
minPrice	integer	null	Minimum nightly price filter
maxPrice	integer	null	Maximum nightly price filter
roomType	string	"any"	Filter by: "any", "entire_home", "private_room", "shared_room", "hotel_room"
proxyConfiguration	object	auto	Proxy settings. Residential proxies recommended

📋 Example Input

{
  "location": "Lisbon, Portugal",
  "checkIn": "2024-07-10",
  "checkOut": "2024-07-17",
  "maxListings": 200,
  "adults": 2,
  "currency": "EUR",
  "minPrice": 50,
  "maxPrice": 300,
  "roomType": "entire_home",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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📤 Output Sample

Each item in the output dataset represents one Airbnb listing:

{
  "id": "48291043",
  "name": "Stunning Alfama Apartment with River Views",
  "url": "https://www.airbnb.com/rooms/48291043",
  "type": "Entire apartment",
  "description": "Nestled in historic Alfama, this beautifully renovated apartment offers sweeping views of the Tagus River. Bright, airy spaces with authentic Azulejo tiles and modern amenities.",
  "price": {
    "perNight": 89,
    "totalForStay": 623,
    "cleaningFee": 45,
    "serviceFee": 98,
    "taxesAndFees": 28,
    "currency": "EUR",
    "displayPrice": "€89 / night"
  },
  "rating": {
    "guestSatisfaction": 4.87,
    "accuracy": 4.9,
    "cleanliness": 4.85,
    "checkIn": 4.95,
    "communication": 4.98,
    "location": 4.92,
    "value": 4.80
  },
  "reviewCount": 312,
  "host": {
    "id": "host_2841902",
    "name": "Sofia",
    "isSuperhost": true,
    "hostSince": "2018-04-12",
    "responseRate": "100%",
    "responseTime": "within an hour",
    "totalListings": 3,
    "profileUrl": "https://www.airbnb.com/users/show/2841902"
  },
  "roomType": "Entire home/apt",
  "beds": 2,
  "bedrooms": 1,
  "bathrooms": 1,
  "maxGuests": 4,
  "amenities": [
    "Wifi",
    "Kitchen",
    "Air conditioning",
    "Washer",
    "Dedicated workspace",
    "Heating",
    "TV",
    "Iron",
    "Essentials"
  ],
  "location": {
    "city": "Lisbon",
    "neighborhood": "Alfama",
    "country": "Portugal",
    "coordinates": {
      "lat": 38.7119,
      "lng": -9.1274
    }
  },
  "images": [
    "https://a0.muscache.com/im/pictures/48291043/hero.jpg",
    "https://a0.muscache.com/im/pictures/48291043/living.jpg"
  ],
  "instantBook": true,
  "selfCheckIn": true,
  "petsAllowed": false,
  "cancellationPolicy": "Moderate",
  "minimumNights": 3,
  "maximumNights": 28,
  "availability": {
    "checkIn": "2024-07-10",
    "checkOut": "2024-07-17",
    "isAvailable": true
  },
  "scrapedAt": "2024-03-16T09:00:00.000Z"
}

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💰 Pricing

Volume	Approximate Cost
50 listings	~$0.05
500 listings	~$0.40
5,000 listings	~$3.50
50,000 listings	~$30.00

Listings with detailed amenity loading may cost slightly more per record. Date-bound searches (with check-in/check-out set) return more accurate pricing and availability data.

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⚙️ How It Works

1. Search URL Construction — The actor builds Airbnb search URLs from your location, checkIn/checkOut, guest count, and filter parameters, mirroring what a real user would search.

2. Browser Automation — Airbnb renders its search results entirely in JavaScript. The actor uses a headless Chromium browser to fully render pages, including lazy-loaded listing cards and map-based pagination.

3. Map-Based Pagination — Airbnb's search uses a map viewport system rather than traditional page numbers. The actor iterates through search result pages and expands viewport coverage to collect more listings beyond the first page.

4. Detail Page Loading — For each listing found in search results, the actor optionally visits the individual listing page to extract full amenity lists, host information, detailed ratings, and cancellation policies.

5. Price Calculation — Pricing is extracted for the specific check-in/check-out dates you provided, including service fees, cleaning fees, and taxes — giving you the true total cost, not just the advertised nightly rate.

6. Geolocation — Latitude/longitude coordinates are extracted from Airbnb's internal map data, enabling spatial analysis and neighborhood clustering.

7. Proxy Rotation — Residential proxies prevent rate-limiting and CAPTCHA triggers that Airbnb implements for automated requests.

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⚠️ Limitations

• Date-dependent pricing — Prices are only returned when check-in/check-out dates are specified. Without dates, only base price estimates are available
• 500 listings per search — Airbnb limits search results to approximately 300–500 listings per location/filter combination; use more specific neighborhoods or filters to drill deeper
• Availability changes — Listing availability and pricing can change between the time of scraping and the time of booking; treat data as a point-in-time snapshot
• Login-required features — Instant book, enhanced host contact info, and some special listings require Airbnb account access and cannot be scraped
• Image downloads — Images are returned as CDN URLs; actual image files are not downloaded by default
• Geographic precision — Airbnb deliberately fuzzes exact property coordinates by ~150m for privacy; the lat/lng values are approximate, not the precise address
• Airbnb ToS — Use responsibly. Only collect publicly available listing data and comply with Airbnb's Terms of Service

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🔗 Related Actors

• TripAdvisor Reviews Scraper — Extract hotel and restaurant reviews from TripAdvisor
• Booking.com Hotel Scraper — Scrape hotel listings from Booking.com
• Real Estate Tracker — Monitor property listings across multiple real estate platforms

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📞 Support

For bugs, feature requests, or help with input configuration, use the Issues tab on this actor page or reach out via Apify Support.