Airbnb API: live rental prices as JSON

Search Airbnb for a destination and dates and get the listings Airbnb is showing right now, one dataset row per listing: the stay total and the nightly rate as numbers in the currency you pick, the rating and review count, beds, bedrooms and baths, coordinates, a photo and the listing link. Filter by price, type of place, bedrooms, beds, bathrooms, pets and rating. $1.50 per 1,000 searches, one charge per search however many listings come back, and Apify's free plan comes with $5 of usage every month.

Run it from the Apify Console, the Apify API or a schedule, or give it to Claude, Cursor or ChatGPT as a tool through Apify's MCP server. It reads Airbnb's public search results; it does not book anything.

What people use it for

• Price watching. A scheduled run with a relative check-in such as 30 days searches the same city a month ahead every day and never goes stale.
• Rentals next to hotels. Put short-term rental prices beside hotel rates for the same trip and dates.
• Market snapshots. Nightly rates, ratings and bedroom counts for one neighbourhood, as rows you can load into a sheet or a database.
• AI travel agents. One tool call returns priced listings an agent can compare and link to.

Why this one

• Money comes back as numbers. price_total is 230, price_original_total is 258, currency is "EUR". The label Airbnb showed is kept in price_string if you want to display it as is.
• Filters run at the source. Price, type of place, bedrooms, beds, bathrooms, children, infants and pets are Airbnb's own search filters, so the results are already narrowed when they arrive.
• A flat price per search. One search is one charge, whether it returns 1 listing or 30. A run that fails (bad input, or Airbnb not returning a readable page) is not charged.
• Dates that never go stale. Check-in and check-out take a date or a time from today (30 days, 2 weeks).
• Live. Every run reads Airbnb at the moment it runs; nothing is served from a cache. Each row carries retrieved_at, the empty-search row included.

Input

Parameter	Type	Required	Default	Description
destination	string	yes		Free text as in the Airbnb search box, e.g. Lisbon, Portugal
checkin_date	string		30 days from today	YYYY-MM-DD, or a time from today such as 30 days
checkout_date	string		3 nights after check-in	YYYY-MM-DD, or a time from today such as 33 days
adults	integer		2	Guests aged 13 or over
children	integer		0	Guests aged 2 to 12
infants	integer		0	Guests under 2
pets	integer		0	Above 0 limits the search to listings that allow pets
currency	string		USD	Currency for every price
price_min	integer			Airbnb's own nightly price filter, in currency
price_max	integer			Airbnb's own nightly price filter, in currency
room_types	string[]		any	Entire home/apt, Private room, Shared room, Hotel room
min_bedrooms	integer			Airbnb's own filter
min_beds	integer			Airbnb's own filter
min_bathrooms	integer			Airbnb's own filter
min_rating	number			Out of 5. Applied by the Actor (see below)
sort	string		Airbnb's order	price_asc, price_desc (per night) or rating_desc. Applied by the Actor (see below)

Output

One row per listing. A live Lisbon search run on 2026-10-23 for 3 nights, 2 adults, priced in EUR:

{
  "name": "Cais do Sodré - Cool New Loft",
  "price_string": "€230 for 3 nights, originally €258",
  "price": 230,
  "price_total": 230,
  "price_per_night": 86,
  "price_original_total": 258,
  "currency": "EUR",
  "nights": 3,
  "rating": 4.92,
  "rating_scale": 5,
  "review_score": 4.92,
  "review_count": 680,
  "room_type": "Loft",
  "bedrooms": 1,
  "beds": 1,
  "baths": 1,
  "location": "Cool, totally refurbished loft with a private balcony in vibrant Cais do Sodré",
  "latitude": 38.70805,
  "longitude": -9.1507,
  "image_url": "https://a0.muscache.com/im/pictures/airflow/Hosting-12605334/original/86dbc2bd-40c5-4186-9946-fee00bb57a8f.jpg",
  "link": "https://www.airbnb.com/rooms/12605334",
  "provider": "airbnb",
  "provider_property_id": "12605334",
  "taxes_included": null,
  "available": true,
  "adults": 2,
  "children": null,
  "destination": "Lisbon, Portugal",
  "checkin_date": "2026-11-22",
  "checkout_date": "2026-11-25",
  "search_status": "ok",
  "retrieved_at": "2026-10-23T14:15:34.054Z"
}

• price_total is the stay total Airbnb showed. price_per_night is the nightly rate from Airbnb's own price breakdown when it gives one (otherwise the total divided by the nights); on a discounted listing that breakdown can be the rate before the discount, as in the row above (3 x 86 = 258 before the discount to 230).
• location is the listing's subtitle as Airbnb shows it (often a short tagline), not an address; use latitude and longitude for the place.
• price_original_total is the total before a discount, when Airbnb shows one.
• taxes_included is null: how Airbnb's displayed total treats taxes varies by place and is not established here, so the field does not guess.
• review_score and price repeat rating and price_total under the field names hotel datasets often use.
• A search with no listings for those dates returns one row with "search_status": "empty" and "available": false.

Examples

Console

Press Start with the prefilled input: Lisbon, 30 days from today, 3 nights.

Filtered search

{
  "destination": "Lisbon, Portugal",
  "checkin_date": "2027-07-15",
  "checkout_date": "2027-07-19",
  "adults": 4,
  "currency": "EUR",
  "price_max": 150,
  "room_types": ["Entire home/apt"],
  "min_bedrooms": 2,
  "min_rating": 4.7,
  "sort": "price_asc"
}

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")

run = client.actor("mtnrabi/airbnb-real-time-api").call(run_input={
    "destination": "Lisbon, Portugal",
    "checkin_date": "30 days",
    "checkout_date": "33 days",
    "currency": "EUR",
})

for listing in client.dataset(run["defaultDatasetId"]).list_items().items:
    print(listing.get("name"), listing.get("price_total"), listing.get("price_per_night"), listing.get("link"))

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });

const run = await client.actor('mtnrabi/airbnb-real-time-api').call({
    destination: 'Rome, Italy',
    checkin_date: '2027-07-15',
    checkout_date: '2027-07-18',
    pets: 1,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

REST

curl -X POST "https://api.apify.com/v2/acts/mtnrabi~airbnb-real-time-api/run-sync-get-dataset-items" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -d '{"destination": "Lisbon, Portugal", "checkin_date": "30 days", "checkout_date": "33 days"}'

Pricing

Pay per event: $1.50 per 1,000 searches ($0.0015 per search). One search is one run: one destination, one stay. You are charged once the listings are saved, whatever their number. A run that stops on invalid input, on a page Airbnb did not return in a readable form, or on a timeout is not charged.

Good to know

• One results page per search. A search returns the first page Airbnb shows for those dates, about 20 to 30 listings in our test searches, not a city's full inventory. Narrow with the price and room filters to get the listings you care about onto that page.
• sort and min_rating work on that page. Airbnb's search has no rating filter and no sort parameter, so the Actor sorts and filters the listings the search returned. price_asc means the cheapest of this page, not of the whole city, and it orders on price_per_night, which on a discounted listing can be the rate before the discount.
• Check nights on each row. Airbnb sometimes quotes a listing for a different number of nights than you asked for; nights and price_string say what it quoted.
• An unknown place still returns listings. Airbnb matches the closest place it knows, so check latitude and longitude when the destination is unusual. (location is the listing's subtitle as Airbnb shows it, not a place name.)
• A listing with no reviews yet has rating: null and is left out by min_rating.

This Actor is not affiliated with, endorsed by or sponsored by Airbnb. Airbnb is a trademark of Airbnb, Inc.