🌐 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.

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🚀 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.

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🔍 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.

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Sample Input

1{
2  "checkin_date": "2025-01-23",
3  "checkout_date": "2025-01-24",
4  "fetchDetails": true,
5  "keywords": [
6    "Chicago, Illinois, United States"
7  ],
8  "max_results": 10,
9  "proxyConfiguration": {
10    "useApifyProxy": true,
11    "apifyProxyGroups": [
12      "RESIDENTIAL"
13    ],
14    "apifyProxyCountry": "US"
15  }
16}

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📊 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).

1v[
2  {
3    "id": "123456",
4    "title": "Modern Downtown Loft",
5    "price": "$220 per night",
6    "thumbnailUrl": "https://example.com/thumbnail.jpg",
7    "latitude": 41.12345,
8    "longitude": -87.65432,
9    "roomType": "entire_home",
10    "ratingCount": "45",
11    "ratingAverage": "4.8",
12    "yearsHosting": "2",
13    "hostName": "John Doe",
14    "hostProfilePicture": "https://example.com/host.jpg",
15    "isSuperhost": true,
16    "detailTitle": "Spacious, Light-Filled Loft Near All Amenities",
17    "detailDescription": "Enjoy the best of the city in this bright, airy loft...",
18    "images": [
19      {
20        "id": "001",
21        "url": "https://example.com/image1.jpg",
22        "caption": "Living room area"
23      },
24      {
25        "id": "002",
26        "url": "https://example.com/image2.jpg",
27        "caption": "Kitchen space"
28      }
29    ],
30    "amenities": "WiFi, Air conditioning, Kitchen, Elevator, Heating",
31    "policies": {
32      "title": "Things to know",
33      "houseRules": [
34        "No smoking",
35        "Check-in after 3:00 pm",
36        "Checkout before 11:00 am"
37      ],
38      "safetyAndPropertyInfo": [
39        "Smoke alarm",
40        "Carbon monoxide alarm"
41      ]
42    },
43    "cancellationPolicy": [
44      {
45        "policyName": "Moderate",
46        "tooltip": "Add your trip dates to get the cancellation details...",
47        "link": "/help/article/2637",
48        "linkText": "Get full details"
49      }
50    ],
51    "sharingConfigCapacity": 4,
52    "sharingConfigRating": 4.8,
53    "sharingConfigreviewCount": 45
54  },
55  {
56    "id": "789012",
57    "title": "Charming Vintage Suite",
58    "price": "$120 per night",
59    "thumbnailUrl": "https://example.com/vintage-suite.jpg",
60    "...": "Other relevant fields"
61  }
62]

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📋 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

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⚡ 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.

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🛠️ 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.

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📊 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.

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🆘 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.

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Happy Scraping!