Airbnb Scraper

Scrape Airbnb listings for any destination and get back the full picture of each property — descriptions, photo galleries, ratings, amenities, room layout, prices, locations, and deep links — all in clean structured JSON.

Whether you are a travel analyst tracking the short-term-rental market, an investor sizing up a destination, a vacation-rental host benchmarking competition, or a developer building a property-search experience, this actor gives you the data you need without the bother of building and maintaining a scraper yourself.

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What you can do with it

• Market & investment research — pull all listings for a city and analyze price distributions, occupancy signals, property types, and amenity prevalence.
• Competitive benchmarking — see exactly how comparable properties present themselves: title, photos, amenities, and pricing.
• Lead generation — build property-owner / property-manager lists for outreach.
• Price tracking — schedule the actor to run on a fixed cadence and feed the dataset into your BI stack.
• Travel content & comparison sites — power your own search UI with fresh listings, photos, and ratings.
• Data products — feed a dataset into AI / LLM pipelines that need real-world travel inventory.

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Why use this actor

• No Airbnb account required — runs entirely on public data; nothing to sign in to, nothing to keep alive.
• No CAPTCHAs to solve — you give it a destination, it gives you data.
• Rich detail per listing — 30+ structured fields, including the full photo gallery (often 60+ photos) and the full amenities list grouped by category.
• Stable JSON output — fixed schema, ready to feed straight into your warehouse, spreadsheet, or notebook.
• Pay only for results — straightforward per-record pricing on the Apify platform.

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How it works

1. You give the actor a destination ("Bali, Indonesia"), optional check-in / check-out dates, guests, currency, and how many results you want.
2. The actor searches Airbnb for that destination and collects every listing on the result pages.
3. For each listing, it visits the listing's detail page and merges in the deeper data — descriptions, photos, amenities, room breakdown, and exact ratings.
4. Records are written to the run's dataset one by one and available immediately in the Apify console (JSON, CSV, Excel, XML).

The actor handles pagination, retries, and proxy rotation automatically — you do not need to configure anything beyond your destination.

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Input

The minimum input is a destination — everything else has sensible defaults.

{
  "mode": "search",
  "location": "Bali, Indonesia",
  "adults": 2,
  "currency": "USD",
  "max_results": 100,
  "enrich_from_pdp": true,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Field	Type	Required	Description
mode	string	yes	search to scrape a destination, listings to fetch a specific list of room IDs
location	string	for search	The destination as you would type it in the Airbnb search box
check_in / check_out	string	no	ISO YYYY-MM-DD dates — adds availability + accurate pricing
adults	integer	no	Number of adult guests (default 2)
currency	string	no	ISO 4217 currency for prices (default USD)
max_results	integer	no	Hard cap on records pushed (default 100)
listing_ids	array	for listings	Airbnb numeric room IDs to fetch directly
enrich_from_pdp	boolean	no	If true (default), each result is enriched with the full detail page
proxy	object	no	Apify proxy configuration; residential recommended

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Sample output

One record per listing. Real data from a Bali search run:

{
  "id": "1641776406624726380",
  "url": "https://www.airbnb.com/rooms/1641776406624726380",
  "title": "SIGMA Treehouse — Private Sauna & Sunset Views",
  "property_type": "Treehouse",
  "description_short": "Private jungle treehouse in Munduk, North Bali, with sunset views at cloud level. Slow down with a private sauna, bathtub for two, outdoor fire pit, and cozy movie nights with a projector. Just a 15-minute walk to the nearest waterfall, with many more nearby. Designed for couples or solo travelers seeking peace, nature, and privacy.",
  "person_capacity": 2,
  "bedrooms": 1,
  "beds": 1,
  "bathrooms": 1,
  "bathroom_type": "private",
  "rating": 5,
  "rating_count": 2,
  "is_new_listing": false,
  "primary_image_url": "https://a0.muscache.com/im/pictures/hosting/Hosting-1641776406624726380/original/af6ae7ab-3625-423c-ac5f-704db237f3ac.jpeg",
  "photo_count": 62,
  "photo_urls": [
    "https://a0.muscache.com/im/pictures/hosting/Hosting-1641776406624726380/original/af6ae7ab-3625-423c-ac5f-704db237f3ac.jpeg",
    "https://a0.muscache.com/im/pictures/hosting/Hosting-1641776406624726380/original/3cf6f5db-4a6d-437e-8866-40628b4212b1.jpeg",
    "https://a0.muscache.com/im/pictures/hosting/Hosting-1641776406624726380/original/193839fe-c76b-498f-b9f8-f052ca5810b9.jpeg",
    "...59 more"
  ],
  "amenity_count": 54,
  "amenities": [
    "Mountain view",
    "Valley view",
    "Bathtub",
    "Hair dryer",
    "Outdoor shower",
    "Hot water",
    "...48 more"
  ],
  "amenities_grouped": [
    {
      "group": "Scenic views",
      "items": [
        { "title": "Mountain view", "available": true, "icon": "SYSTEM_VIEW_MOUNTAIN" },
        { "title": "Valley view",   "available": true, "icon": "SYSTEM_VIEW_MOUNTAIN" }
      ]
    },
    {
      "group": "Bathroom",
      "items": [
        { "title": "Bathtub",   "available": true, "icon": "SYSTEM_BATHTUB" },
        { "title": "Bidet",     "available": true, "icon": "SYSTEM_TOILET_BIDET" },
        { "title": "Hot water", "available": true, "icon": "SYSTEM_HOT_WATER" }
      ]
    }
  ],
  "price_per_night": 5029,
  "price_qualifier": "for 5 nights",
  "currency": "USD",
  "lat": -8.2593,
  "lng": 115.0704,
  "android_deeplink": "airbnb://rooms/1641776406624726380",
  "ios_deeplink": "airbnb://rooms/1641776406624726380"
}

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Output schema

Every result has the same fields. Unset fields are null.

Field	Type	Description
id	string	Airbnb numeric room ID
url	string	Canonical listing URL
title	string	Listing title as shown on Airbnb
property_type	string	"Entire cabin", "Treehouse", "Private room", etc.
description_short	string	Hero description
description_long	string	Full description (when available)
meta_description	string	SEO description shown on Google
person_capacity	integer	Maximum guests
bedrooms / beds / bathrooms	numbers	Room breakdown
bathroom_type	string	private / shared / half / standard
rating	number	Overall guest rating (0–5)
rating_count	integer	Number of reviews
is_new_listing	boolean	True if Airbnb classifies it as new
primary_image_url	string	Hero photo URL
photo_urls	string[]	Every photo URL from the listing gallery
photo_count	integer	Length of photo_urls
amenities	string[]	Flat list of available amenities
amenities_grouped	object[]	Same amenities organised by Airbnb's groups, with icon names
amenity_count	integer	Length of amenities
price_per_night	number	Price as shown for the searched stay
price_qualifier	string	The label Airbnb shows (e.g. "for 5 nights")
currency	string	ISO 4217
lat / lng	numbers	Listing coordinates
subtitle	string	Search-card subtitle
android_deeplink / ios_deeplink	strings	Open-in-app links

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Tips

• Start with a small max_results (3–10) to validate inputs, then scale up.
• Set enrich_from_pdp: false if you only need basic search-card fields and want a faster, cheaper run.
• Combine with the Apify Schedule feature to run nightly price snapshots for a destination.