🌐 Airbnb Co Scraper The Airbnb Co Scraper allows you to extract detailed Airbnb listing information—such as prices, reviews, amenities, descriptions, and more—across multiple locations, dates, and custom settings. Whether you’re a traveler, real estate analyst, or Airbnb host conducting market research, the scraper efficiently gathers extensive Airbnb data for your needs. --- ## 🚀 Features - Detailed data extraction: Gathers a wide range of information (title, price, location, images, host details, descriptions, amenities, policies, etc.). - Flexible search options: Choose check-in/check-out dates, keywords (locations), and maximum results. - Optional detailed view: Set fetchDetails to true to retrieve more in-depth listing details (host bio, property policies, etc.). - Pagination support: Automatically handles multiple pages of results to reach your desired max results. - Configurable proxy usage: Easily integrate with Apify Proxy to ensure reliable data collection. - Scalability: Scrape anywhere from a handful of listings to thousands, based on your specified limit. --- ## 🔍 Scraped Data Below are some of the fields typically extracted by the scraper. Actual data fields may vary depending on whether fetchDetails is enabled and the specific listing availability: - id: Unique identifier of the Airbnb listing. - title: Main title of the listing. - price: Nightly or base price. - thumbnailUrl: Primary photo or thumbnail for the listing. - latitude, longitude: Geographic coordinates of the listing. - roomType: Type of listing (entire home, private room, shared room, etc.). - hostName / hostProfilePicture / isSuperhost: Host details, including name, photo, and superhost status. - ratings & reviews: Aggregate rating, number of reviews, or breakdown (where available). - detailTitle & detailDescription: Additional, detailed listing titles and extended descriptions. - images: Array of images, each with an ID, URL, and optional caption. - amenities: List of amenities or features offered. - policies: House rules, check-in/check-out times, and safety/property info. - cancellationPolicy: The cancellation policy type and related details. --- ### Sample Input json { "checkin_date": "2025-01-23", "checkout_date": "2025-01-24", "fetchDetails": true, "keywords": [ "Chicago, Illinois, United States" ], "max_results": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } --- ## 📊 Output Format When the scraper finishes, it returns an array of listings, each containing relevant fields. Below is a simplified sample structure (not actual data). json v[ { "id": "123456", "title": "Modern Downtown Loft", "price": "$220 per night", "thumbnailUrl": "https://example.com/thumbnail.jpg", "latitude": 41.12345, "longitude": -87.65432, "roomType": "entire_home", "ratingCount": "45", "ratingAverage": "4.8", "yearsHosting": "2", "hostName": "John Doe", "hostProfilePicture": "https://example.com/host.jpg", "isSuperhost": true, "detailTitle": "Spacious, Light-Filled Loft Near All Amenities", "detailDescription": "Enjoy the best of the city in this bright, airy loft...", "images": [ { "id": "001", "url": "https://example.com/image1.jpg", "caption": "Living room area" }, { "id": "002", "url": "https://example.com/image2.jpg", "caption": "Kitchen space" } ], "amenities": "WiFi, Air conditioning, Kitchen, Elevator, Heating", "policies": { "title": "Things to know", "houseRules": [ "No smoking", "Check-in after 3:00 pm", "Checkout before 11:00 am" ], "safetyAndPropertyInfo": [ "Smoke alarm", "Carbon monoxide alarm" ] }, "cancellationPolicy": [ { "policyName": "Moderate", "tooltip": "Add your trip dates to get the cancellation details...", "link": "/help/article/2637", "linkText": "Get full details" } ], "sharingConfigCapacity": 4, "sharingConfigRating": 4.8, "sharingConfigreviewCount": 45 }, { "id": "789012", "title": "Charming Vintage Suite", "price": "$120 per night", "thumbnailUrl": "https://example.com/vintage-suite.jpg", "...": "Other relevant fields" } ] --- ## 📋 Input Parameters Below are the parameters you can provide to customize the scraper’s behavior: Field | Description | Example Input ---------------------|--------------------------------------------------------------|--------------- checkin_date | Specify the check-in date (YYYY-MM-DD) | "2025-01-23" checkout_date | Specify the check-out date (YYYY-MM-DD) | "2025-01-24" fetchDetails | Boolean to fetch more comprehensive details per listing | true keywords | Array of location keywords | ["Chicago, Illinois, United States"] max_results | Maximum number of Airbnb listings to scrape | 10 proxyConfiguration | Proxy settings including Apify Proxy usage | See example below --- ## ⚡ Performance - Speed: Quickly retrieves up to max_results listings (or more if you configure further). - Scalability: Adequate for small or large data requests. - Efficiency: Minimizes redundant calls, making the best use of pagination and concurrency. --- ## 🛠️ Customizable Scraping Options 1. Dates: Customize check-in/check-out. 2. Keywords (Location): Provide a list of places or neighborhoods. 3. Maximum Listings: Limit how many listings you want. 4. Fetch Details: Toggle deep-level details (like host info, policies, etc.). 5. Proxy Usage: Use Apify Proxy or custom proxy settings to handle requests reliably. --- ## 📊 Use Cases - Travel Planning: Compare rental prices, read host reviews, and see amenities at different locations. - Market Research: Real estate professionals can analyze listing supply, average prices, and more. - Competitor Analysis: Airbnb hosts can see how their competitors perform in a specific region. - Investment Decision: Potential investors can gauge property performance, location popularity, and pricing strategies. --- ## 🆘 Support For issues, feature requests, or feedback, please open an issue in our repository. We aim to respond quickly and ensure the scraper works smoothly for everyone. --- Happy Scraping!