Airbnb Scraper

Extract Airbnb listings for any location worldwide. Scrape prices, ratings, review counts, amenities, host details, property specifications, GPS coordinates, and images. Filter by check-in/check-out dates, price range, and property type (entire home, private room, shared room).

Features

• Any location: Search by city, neighbourhood, region, or address
• Date-aware pricing: Specify check-in and check-out dates for accurate per-night prices
• Price filters: Set minimum and maximum per-night price range
• Property type filter: Entire home, private room, shared room, or all types
• Rich data extraction: Title, price, currency, rating, review count, bedrooms, bathrooms, beds, max guests, amenities, images, host name, Superhost status, and GPS coordinates
• Multiple extraction strategies: Parses deferred-state JSON, Hypernova SSR, JSON-LD, Next.js data, and raw HTML fallback
• Anti-detection: Rotates 10+ User-Agent strings, respectful rate limiting, residential proxy support
• Pagination: Automatically crawls multiple search pages up to your result limit
• Pay per event: Only pay for listings actually scraped

Use Cases

Property Management

• Monitor competitor pricing in your area
• Track seasonal price fluctuations across neighbourhoods
• Identify underpriced listings to optimize your own rates
• Audit your market's average amenities and guest capacity

Pricing Strategy

• Compare your nightly rate against similar listings (same bedrooms, location, Superhost status)
• Detect pricing trends by scraping the same location weekly or monthly
• Find the price sweet spot for new listings by analyzing existing supply
• Calculate revenue potential for new investment properties

Travel Planning & Research

• Compare accommodation options across dates and budgets
• Find Superhost-only listings in a destination
• Aggregate ratings and review counts to shortlist top-rated stays
• Export to spreadsheet for group trip decision-making

Market Research & Real Estate

• Analyse short-term rental supply in target investment cities
• Map listing density by GPS coordinates
• Track new listing volume over time in emerging markets
• Compare Airbnb supply vs. traditional rental yields

Input Parameters

Parameter	Type	Default	Description
location	string	"New York"	City, neighbourhood, or region to search
checkIn	string	""	Check-in date (YYYY-MM-DD). Empty = flexible
checkOut	string	""	Check-out date (YYYY-MM-DD). Empty = flexible
maxResults	integer	25	Maximum listings to scrape (1-1000)
minPrice	integer	0	Minimum price per night (0 = no min)
maxPrice	integer	0	Maximum price per night (0 = no max)
propertyType	enum	"any"	any, entire_home, private_room, shared_room
currency	string	"USD"	ISO 4217 currency code (USD, EUR, GBP, JPY, etc.)
maxConcurrency	integer	3	Concurrent requests (lower = safer)
proxyConfiguration	object	—	Apify proxy config (residential recommended)

Output Fields

Each scraped listing includes:

Field	Type	Description
title	string	Listing title / name
listingId	string	Airbnb numeric listing ID
price	number	Price per night
currency	string	Currency code (USD, EUR, etc.)
rating	number	Average guest rating (0-5)
reviewCount	number	Total number of reviews
bedrooms	number	Number of bedrooms
bathrooms	number	Number of bathrooms
beds	number	Number of beds
maxGuests	number	Maximum guest capacity
propertyType	string	Room type (Entire home/apt, Private room, etc.)
amenities	array	List of amenity names
imageUrl	string	Primary listing image URL
listingUrl	string	Direct link to the listing
hostName	string	Host's first name
superhost	boolean	Whether the host is a Superhost
latitude	number	GPS latitude
longitude	number	GPS longitude
searchLocation	string	The location you searched for
checkIn	string	Check-in date used in search
checkOut	string	Check-out date used in search
scrapedAt	string	ISO 8601 timestamp of when the data was collected

Example Output

{
    "title": "Stylish Loft in Downtown Manhattan",
    "listingId": "12345678",
    "price": 189,
    "currency": "USD",
    "rating": 4.92,
    "reviewCount": 347,
    "bedrooms": 1,
    "bathrooms": 1,
    "beds": 2,
    "maxGuests": 4,
    "propertyType": "Entire home/apt",
    "amenities": ["Wifi", "Kitchen", "Air conditioning", "Washer", "Self check-in"],
    "imageUrl": "https://a0.muscache.com/im/pictures/...",
    "listingUrl": "https://www.airbnb.com/rooms/12345678",
    "hostName": "Sarah",
    "superhost": true,
    "latitude": 40.7128,
    "longitude": -74.006,
    "searchLocation": "New York",
    "checkIn": "2026-04-15",
    "checkOut": "2026-04-20",
    "scrapedAt": "2026-03-01T14:30:00.000Z"
}

Tips for Best Results

1. Use residential proxies: Airbnb blocks datacenter IP addresses aggressively. Apify residential proxies are strongly recommended for reliable scraping.
2. Keep concurrency low: Set maxConcurrency to 1-3 to avoid triggering rate limits.
3. Start small: Test with maxResults: 10 before running large scrapes.
4. Specify dates: Providing check-in and check-out dates returns accurate per-night pricing rather than base/estimated prices.
5. Popular locations work best: Major cities and tourist destinations have the most listings.

Data Extraction Strategy

The scraper uses five extraction strategies in order of priority:

1. Deferred State JSON (<script id="data-deferred-state">) — Airbnb's primary server-rendered data payload
2. Hypernova SSR (<script data-hypernova-key>) — Legacy server-side rendering format
3. JSON-LD (<script type="application/ld+json">) — Schema.org structured data
4. Next.js Data (<script id="__NEXT_DATA__">) — Next.js hydration payload
5. HTML Fallback — Structural analysis of listing card elements

Results from all strategies are merged and deduplicated by listing ID, keeping the most complete data for each listing.

Legal Notice

This actor is intended for personal and research use. Respect Airbnb's Terms of Service and applicable laws regarding data collection. Do not use scraped data for purposes that violate privacy regulations or platform policies. The actor does not access any data behind authentication — it only reads publicly visible search results.