Airbnb Stays Scraper Extract Airbnb stays listings data from any location. Get comprehensive property information including prices, ratings, images, location details, and host information. ## Features - Two Input Modes: Use a search URL or enter search parameters directly - Full Pagination Support: Automatically fetches all pages of results - Rich Data Extraction: Prices, ratings, reviews, images, coordinates, host details, and more - Flexible Limits: Set maximum results or scrape all available listings - Multi-Region Support: Works with Airbnb UK, US, EU, Australia, Canada and other regional sites ## Input Modes ### Mode 1: Search URL Simply paste any Airbnb search URL with your desired filters already applied. 1. Go to airbnb.com or your regional Airbnb site 2. Search for your desired location 3. Apply any filters (dates, guests, price range, amenities, etc.) 4. Copy the URL from your browser's address bar 5. Select "Search URL" mode and paste the URL ### Mode 2: Search Parameters Enter search criteria directly without visiting Airbnb first. | Parameter | Description | |-----------|-------------| | Location | City, neighborhood, or address (e.g., "London", "Paris, France") | | Check-in / Check-out | Dates in YYYY-MM-DD format | | Adults / Children / Infants / Pets | Number of guests | | Min Price / Max Price | Price range per night | | Currency | GBP, USD, EUR, AUD, or CAD | | Room Type | Entire home, Private room, or Shared room | | Superhost Only | Filter for Superhosts only | | Instant Book | Filter for Instant Book listings | ## Output Each listing includes: | Field | Description | |-------|-------------| | id | Unique Airbnb listing ID | | url | Direct link to listing | | name | Property name | | title | Property type and location (e.g., "Room in London") | | price | Total price for the stay (numeric) | | pricePerNight | Price per night (numeric) | | currency | Currency code (GBP, USD, EUR) | | priceQualifier | Price context (e.g., "for 2 nights") | | totalPrice | Formatted total price string | | rating | Average rating (numeric, out of 5) | | reviewsCount | Number of reviews | | isSuperhost | Whether host is a Superhost | | isGuestFavorite | Guest favorite badge | | badges | Special badges/tags | | host | Host details object | | host.name | Host name | | host.isSuperhost | Superhost status | | host.isVerified | Verification status | | host.profilePicture | Host profile image URL | | host.yearsHosting | Years as host | | host.hostType | Host type (e.g., "Individual host") | | latitude | Listing latitude | | longitude | Listing longitude | | checkin | Check-in date from search | | checkout | Check-out date from search | | guests | Guest configuration from search | | images | Array of image URLs | | scrapedAt | Timestamp of scrape | ## Example Output json { "id": "6968345", "url": "https://www.airbnb.com/rooms/6968345", "name": "Beautiful Mews House", "title": "Room in London", "price": 153, "pricePerNight": 76.01, "currency": "GBP", "priceQualifier": "for 2 nights", "totalPrice": null, "rating": 4.9, "reviewsCount": 529, "isSuperhost": false, "isGuestFavorite": true, "badges": ["Guest favourite"], "host": { "name": "Rhian", "isSuperhost": false, "isVerified": true, "profilePicture": "https://a0.muscache.com/im/pictures/user/4c1f32bf-4221-41e5-87d2-d5e9a083dae0.jpg?aki_policy=profile_x_medium", "yearsHosting": 10, "hostType": "Individual host" }, "latitude": 51.52302, "longitude": -0.19533, "checkin": "2026-01-30", "checkout": "2026-02-01", "guests": { "adults": 1, "children": 0, "infants": 0, "pets": 0 }, "images": [ "https://a0.muscache.com/im/pictures/88326546/5cf4bcac_original.jpg", "https://a0.muscache.com/im/pictures/016b1d5d-ca25-4d01-a801-eb8a3e97e287.jpg", "https://a0.muscache.com/im/pictures/99022886/66a3a5f1_original.jpg" ], "scrapedAt": "2025-11-26T09:45:35.000Z" } ## Use Cases - Market Research: Analyze pricing trends and availability in specific areas - Investment Analysis: Research potential rental properties - Competitor Analysis: Monitor competing listings in your area - Travel Planning: Compare listings across different neighborhoods - Data Analytics: Build datasets for hospitality industry insights ## Integrations Export your data in multiple formats: JSON, CSV, Excel, HTML Table Integrate with: Google Sheets, Zapier, Make, Slack, Email notifications