Airbnb Destinations Scraper

Scrape Airbnb listing results for a destination, including prices, ratings, amenities, images, and optional review snippets.

What it does

• Searches Airbnb by destination name such as Paris, Tokyo, or New York
• Collects listing titles, prices, ratings, review counts, property details, and listing URLs
• Extracts human-readable amenities directly from Airbnb listing pages
• Optionally fetches review snippets for each listing
• Saves structured results to the default dataset for export as JSON, CSV, Excel, or API output

Input

{
  "placeName": "Paris",
  "maxItems": 25,
  "includeImages": true,
  "maxImagesPerListing": 5,
  "includeReviewTexts": true,
  "maxReviewTexts": 3,
  "currency": "USD",
  "checkIn": "30 days",
  "checkOut": "34 days",
  "proxyConfig": {
    "useApifyProxy": true
  }
}

Input fields:

• placeName: Destination to search on Airbnb.
• maxItems: Maximum number of listings to save.
• includeImages: Include listing images in the output.
• maxImagesPerListing: Maximum number of image URLs to keep for each listing.
• includeReviewTexts: Fetch review snippets for each listing.
• maxReviewTexts: Maximum number of review snippets to save per listing.
• currency: Currency used for pricing requests.
• checkIn: Optional check-in date in YYYY-MM-DD format or a relative value like 30 days.
• checkOut: Optional check-out date in YYYY-MM-DD format or a relative value like 34 days.
• proxyConfig: Proxy settings. Use Apify Proxy on the platform for best reliability.

Output

Each dataset item looks like:

{
  "title": "The terraces of Monceau",
  "description": "Entire rental unit - 8th Arrondissement",
  "price": "$1,251",
  "rating": "4.98",
  "review_count": 56,
  "reviews": "56 reviews",
  "location": "Paris",
  "property_type": "Entire rental unit",
  "beds": "2 beds",
  "baths": "1.5 baths",
  "guests": 4,
  "amenities": [
    "Kitchen",
    "Wifi",
    "Air conditioning",
    "Smoke alarm",
    "Luggage drop-off allowed"
  ],
  "listing_url": "https://www.airbnb.com/rooms/1207192373682143660",
  "image_url": "https://a0.muscache.com/im/pictures/example.jpeg?im_w=720",
  "image_urls": [
    "https://a0.muscache.com/im/pictures/example.jpeg?im_w=720"
  ],
  "review_texts": [
    {
      "author": {
        "firstName": "Elizabeth",
        "id": "42823613",
        "pictureUrl": ""
      },
      "comments": "Such a wonderful Parisian experience...",
      "createdAt": "2025-04-20T11:58:31.000Z",
      "rating": 5,
      "language": "en"
    }
  ],
  "reviews_preview": "Such a wonderful Parisian experience...",
  "scraped_at": 1774668747
}

Use cases

• Market research for short-term rental listings in a city
• Building destination comparison datasets
• Tracking listing prices and availability-related metadata over time
• Collecting amenity and review data for travel analytics workflows

Tips

• Keep maxItems moderate when also fetching review_texts, because detailed enrichment adds extra requests.
• Provide checkIn and checkOut if you want price output tied to specific travel dates.
• Use Apify Proxy in cloud runs to reduce blocking risk.
• The actor prefers Airbnb API responses when available and falls back to browser-based scraping only when needed.