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URL: https://apify.com/agenscrape/airbnb-stays-scraper

โ‡ฑ Airbnb Stays Scraper ยท Apify


Pricing

from $1.50 / 1,000 results

Go to Apify Store

Airbnb Stays Scraper

Extract Airbnb stays listings data from any location. Get comprehensive property information including prices, ratings, images, location details, and host information.

Pricing

from $1.50 / 1,000 results

Rating

0.0

(0)

Developer

๐Ÿ‘ Agenscrape

Agenscrape

Maintained by Community

Actor stats

1

Bookmarked

11

Total users

2

Monthly active users

7 months ago

Last modified

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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.

ParameterDescription
LocationCity, neighborhood, or address (e.g., "London", "Paris, France")
Check-in / Check-outDates in YYYY-MM-DD format
Adults / Children / Infants / PetsNumber of guests
Min Price / Max PricePrice range per night
CurrencyGBP, USD, EUR, AUD, or CAD
Room TypeEntire home, Private room, or Shared room
Superhost OnlyFilter for Superhosts only
Instant BookFilter for Instant Book listings

Output

Each listing includes:

FieldDescription
idUnique Airbnb listing ID
urlDirect link to listing
nameProperty name
titleProperty type and location (e.g., "Room in London")
priceTotal price for the stay (numeric)
pricePerNightPrice per night (numeric)
currencyCurrency code (GBP, USD, EUR)
priceQualifierPrice context (e.g., "for 2 nights")
totalPriceFormatted total price string
ratingAverage rating (numeric, out of 5)
reviewsCountNumber of reviews
isSuperhostWhether host is a Superhost
isGuestFavoriteGuest favorite badge
badgesSpecial badges/tags
hostHost details object
host.nameHost name
host.isSuperhostSuperhost status
host.isVerifiedVerification status
host.profilePictureHost profile image URL
host.yearsHostingYears as host
host.hostTypeHost type (e.g., "Individual host")
latitudeListing latitude
longitudeListing longitude
checkinCheck-in date from search
checkoutCheck-out date from search
guestsGuest configuration from search
imagesArray of image URLs
scrapedAtTimestamp of scrape

Example Output

{
"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

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