Airbnb Scraper - Listings, Prices, Hosts & Amenities by City or Room URL

Scrape Airbnb listings for any city or neighbourhood, or look up specific rooms by URL: title, property type, coordinates, beds and baths, rating, review count, Superhost status, full amenity list, photos and the total price for your dates, as one clean JSON record per listing.

One Actor does both jobs that usually need two: search by place and room details by URL or ID. It reads the public Airbnb web pages over plain HTTP, with no browser, no login and no Airbnb account, and costs $0.80 per 1,000 listings.

What does Airbnb Scraper do?

It returns the same data a visitor sees on Airbnb's search results and room pages, through the Apify dataset and API as JSON, CSV or Excel. Typical uses:

• Short-term rental market research: map supply, ratings, room types and price levels in any city.
• Competitor and pricing analysis for hosts and property managers: pull the comparable listings around yours, with prices for the exact dates you care about.
• Investment and location scouting: compare neighbourhoods by listing count, rating, Guest favorite share and nightly price.
• Lead and partner lists: hosts, Superhost status and hosting experience per listing.
• Travel apps and AI agents: feed live Airbnb listings into an itinerary tool or an LLM agent.

Input

Field	Meaning
locations	Places as you would type them on Airbnb: Lisbon, Portugal, Austin, TX, Bali. Each returns up to maxItems listings (270 at most per place: Airbnb shows 15 result pages of 18).
roomUrls	Room mode. Airbnb room URLs (https://www.airbnb.com/rooms/20669368, any airbnb domain) or bare room IDs. Rooms that no longer exist are skipped and not charged.
checkIn, checkOut	YYYY-MM-DD, both or neither. With dates, search results carry the price for your stay. Without dates, a location search prices a default stay: 2 nights starting 14 days from the run date (worked out at run time). The run's status message says so, and every item echoes the dates used in checkIn and checkOut.
adults	1 to 16, default 2. The guests the price is for, with your dates or the default stay.
currency	ISO code, default USD.
maxItems	Listings per location, default 20, max 270.
includeDetails	Default on. One extra request per search result adds amenities, host, all photos, country, guest capacity, description and rating breakdown. Off gives a faster, lighter list from the search cards only.
requestDelaySecs	Pacing between requests, default 0.7.
proxyConfiguration	Optional, off by default.

With no input at all, the Actor runs a built-in example of 5 listings in Paris. If you already call another Airbnb Actor, these input names are also accepted: locationQueries, startUrls, checkin, checkout, maxListings.

{
  "locations": ["Lisbon, Portugal"],
  "checkIn": "2026-12-10",
  "checkOut": "2026-12-13",
  "adults": 2,
  "currency": "USD",
  "maxItems": 50
}

Room mode:

{
  "roomUrls": ["https://www.airbnb.com/rooms/20669368", "766765"]
}

Output

{
  "id": "5262010",
  "url": "https://www.airbnb.com/rooms/5262010",
  "title": "Wow, Glass-Walled Design Bungalow near University of Texas",
  "roomType": "Entire home/apt",
  "propertyType": "Entire home",
  "location": {"city": "Austin", "country": "United States", "lat": 30.30799, "lng": -97.7015},
  "personCapacity": 4,
  "bedrooms": 2,
  "beds": 2,
  "bathrooms": 2,
  "starRating": 4.95,
  "reviewsCount": 634,
  "ratingCategories": {"cleanliness": 4.9, "accuracy": 5, "checkin": 5, "communication": 5, "location": 4.9, "value": 4.8},
  "isGuestFavorite": true,
  "badges": ["Guest favorite"],
  "host": {"name": "Michael", "isSuperhost": true, "id": "12628034", "reviewsCount": 1392, "yearsHosting": 11},
  "description": "...",
  "amenities": ["Wifi", "Kitchen", "Air conditioning", "Free parking on premises", "..."],
  "photos": ["https://a0.muscache.com/im/pictures/..."],
  "price": {"total": 564, "perNight": 188, "originalTotal": null, "nights": 3, "currency": "USD", "display": "$564", "note": null},
  "position": 1,
  "searchLocation": "Austin, TX",
  "inputUrl": null,
  "source": "search",
  "checkIn": "2026-12-10",
  "checkOut": "2026-12-13",
  "adults": 2,
  "scrapedAt": "2026-10-11T12:00:00+00:00"
}

position is the listing's 1-based rank in the search results for that place (null for room URLs). The dataset has a Listings view with the main columns.

Which fields are filled

• Always: id, url, title, propertyType, location.lat/lng, photos, source, scrapedAt. starRating and reviewsCount are filled for every listing that has reviews (new listings have none yet).
• Full details on (default) and in room mode: roomType, personCapacity, amenities, host, description, ratingCategories, location.country.
• price: only for search results (for your checkIn/checkOut, or the default 2-night stay from 14 days out for 2 adults when you give none), and only when Airbnb shows a price for that listing (listings that are booked out on your dates have none). Room URLs never carry a price, because Airbnb's room page does not include one without a logged-in booking request. Hotels and multi-unit listings show the price of the cheapest unit and say so in price.note.
• bedrooms, beds, bathrooms: blank for multi-unit listings (hotels and apartment blocks that show "N apartments available") and for listings whose host did not state them. A studio is bedrooms: 0.

Pricing

Pay per result: $0.80 per 1,000 listings ($0.0008 per listing). You pay only for listings pushed to the dataset. Room URLs that no longer exist return nothing and cost nothing. The run stops at your maximum charge.

Worked example: 5 cities at 100 listings each is 500 listings, which costs $0.40. Re-running the same set every day for 30 days costs $12.00. A 10-listing test run costs $0.008.

Use it from the API

Run it synchronously and get the listings back as JSON. Replace <YOUR_APIFY_TOKEN> with your token.

curl -X POST "https://api.apify.com/v2/acts/datagleaner~airbnb-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"locations": ["Lisbon, Portugal"], "checkIn": "2026-12-10", "checkOut": "2026-12-13", "maxItems": 20}'

It also works from n8n, Make or Zapier through the Apify integrations, since the output is a flat JSON record per listing.

Use with Python

pip install apify-client, set the APIFY_TOKEN environment variable, and run. This input returns at most 10 listings, about $0.008.

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("datagleaner/airbnb-scraper").call(run_input={
    "locations": ["Lisbon, Portugal"],
    "checkIn": "2026-12-10",
    "checkOut": "2026-12-13",
    "maxItems": 10,
})
for listing in client.dataset(run["defaultDatasetId"]).iterate_items():
    price = (listing.get("price") or {}).get("total")
    print(listing["title"], listing.get("starRating"), price)

Use with JavaScript / Node.js

npm install apify-client, set APIFY_TOKEN, and run it as an ES module (.mjs).

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('datagleaner/airbnb-scraper').call({
    locations: ['Lisbon, Portugal'],
    checkIn: '2026-12-10',
    checkOut: '2026-12-13',
    maxItems: 10,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const l of items) console.log(l.title, l.starRating, l.price?.total);

Use it from n8n, Make, Zapier or an AI agent

Actor ID: datagleaner/airbnb-scraper

Minimal input:

{"locations": ["Lisbon, Portugal"], "checkIn": "2026-12-10", "checkOut": "2026-12-13", "maxItems": 10}

Each tool below runs this Actor with your own Apify API token.

• n8n: add the Apify node (@apify/n8n-nodes-apify). On n8n Cloud you install it from the community node registry. Choose Run an Actor and get dataset, set Actor to datagleaner/airbnb-scraper and paste the input above.

• Make: use the Apify app's Run an Actor module, then Get Dataset Items to read the results. Watch Actor Runs can trigger a scenario when a run finishes.

• Zapier: use the Apify action Run Actor, then the search Fetch dataset items. The trigger Finished Actor run starts a Zap when a run ends.

• AI agents (MCP): connect to https://mcp.apify.com?tools=datagleaner/airbnb-scraper. In Claude Code:

  claude mcp add --transport http apify "https://mcp.apify.com?tools=datagleaner/airbnb-scraper"
  

  Then run /mcp to sign in to Apify in your browser. Then ask in plain language, for example: "Find 10 Airbnb listings in Lisbon for 2 adults from December 10 to 13 and list the cheapest three with their ratings." An agent without the Actor preloaded can find it with Apify's search-actors tool by searching "airbnb".

• LangChain (Python):

# pip install langchain-apify, then set APIFY_TOKEN in your environment
import json
from langchain_apify import ApifyActorsTool
tool = ApifyActorsTool("datagleaner/airbnb-scraper")
result = tool.invoke({"run_input": json.loads('{"locations": ["Lisbon, Portugal"], "checkIn": "2026-12-10", "checkOut": "2026-12-13", "maxItems": 10}')})

Limits

• No guest reviews. Review text is not part of the public room page; Airbnb loads it through a separate authenticated API, which this Actor does not use. You get starRating, reviewsCount, the category ratings and isGuestFavorite instead.
• Airbnb shows at most about 270 listings per search (15 pages of 18). For more coverage, search sub-areas (Alfama, Lisbon, Belem, Lisbon). A few cards repeat between pages and are removed, so a place can return slightly fewer than 270.
• Listings on Airbnb's map for a broad place can be sparse for small towns; the Actor returns what Airbnb returns.
• Prices are totals as Airbnb displays them for the market and currency you set; whether taxes and fees are included follows Airbnb's display. Airbnb's search ranking and prices change by the minute.
• Airbnb shows approximate coordinates for most listings, not the exact address.
• At very high volume Airbnb may start refusing requests. The Actor backs off, refreshes its connection and finishes what it has. Enable proxyConfiguration if that happens.

FAQ

Is there an Airbnb API? Airbnb offers no public API for listings or prices. This Actor works as one: you call the Apify API with places and dates, it reads the Airbnb pages and returns JSON.

How do I get the price of a listing? Search a location, ideally with checkIn and checkOut set (without them a 2-night stay 14 days out is priced). Each search result then carries price.total and price.perNight for exactly those dates. A room URL on its own returns the listing record without a price.

Can I get the reviews? Not in this version (see Limits). Ratings, review counts and category ratings are included.

How do I track a market over time? Schedule the Actor daily for the same places and dates and compare price and reviewsCount between runs. Each record carries scrapedAt.

Do I need a proxy? No, it works without one in testing. A proxy option is there if you scrape at very high volume.

Responsible use

This Actor reads publicly visible Airbnb pages without logging in. Use the data in line with Airbnb's terms. Listing records are business data; host first names appear as Airbnb shows them publicly. If you combine them with anything else about individuals, the data-protection obligations are yours.