# Airbnb Rooms Scraper (`piotrv1001/airbnb-rooms-scraper`) Actor

Get full Airbnb listing details from room URLs: description, amenities, house rules, check-in and check-out times, cancellation policy, capacity, bedrooms, beds, baths, ratings by category, location, host profile (Superhost, response rate) and all photos. Bulk URLs, export to JSON or CSV.

- **URL**: https://apify.com/piotrv1001/airbnb-rooms-scraper.md
- **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community)
- **Categories:** Travel, Real estate, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 listing details

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### 🏡 Airbnb Rooms Scraper: Listing Details, Amenities and Host Data

Get full **Airbnb listing details** from room URLs as JSON, CSV or Excel. The **Airbnb Rooms Scraper** returns the description, the full amenities list, house rules, check-in and check-out times, cancellation policy, capacity, bedrooms, beds and baths, ratings by category, location, the host's profile (Superhost, response rate, years hosting) and every photo. Use it as an Airbnb API for listing data, competitor research or property analytics.

### 🎯 Use Cases

- **Airbnb listing data for analytics**: build a dataset of amenities, capacity and ratings for every listing in your market.
- **Competitor analysis for hosts**: compare amenities, house rules, check-in times and cancellation policies of the homes you compete with.
- **Airbnb amenities list research**: find which amenities top-rated listings offer and which ones yours is missing.
- **Property management leads**: find hosts by Superhost status, years hosting, review count and response rate.
- **Content and data enrichment**: add full descriptions and photo sets to listings you found with the Airbnb Listings Scraper.

### ✨ Features

- **Description**: the full listing text as plain text, with its language.
- **Amenities**: every amenity with its group (Bathroom, Kitchen and dining…) and whether it is available ("Not included" items are marked).
- **House rules and safety**: guests limit, pets, smoking, quiet hours, host requests, safety devices and property notes.
- **Check-in, check-out and cancellation**: check-in and check-out times, self check-in, and, when you give stay dates, the exact cancellation terms for that stay.
- **Ratings**: overall rating, review count and the six category ratings (cleanliness, accuracy, check-in, communication, location, value), plus Guest favorite.
- **Host profile**: name, ID, avatar, Superhost and verified flags, rating, review count, years hosting, response rate and time, about text and co-hosts.
- **Location and photos**: coordinates, neighborhood, the area summary, breadcrumbs (country, region, city) and all photos.

### 🛠️ How It Works

1. **Paste Airbnb listing URLs or IDs**, one per line.
2. **Optionally add stay dates** to get the exact cancellation terms.
3. **Run the scraper** and download the data, or pull it through the Apify API.

### ⚙️ Input

| Field | What it does |
| --- | --- |
| **Listing URLs or IDs** | Links like `https://www.airbnb.com/rooms/19130047` or the number alone. |
| **Check-in / Check-out** | Optional stay dates for the cancellation terms. Set both or neither. |
| **Max listings** | Stop after this many listings. Default 50. |

```json
{
    "listings": ["https://www.airbnb.com/rooms/19130047", "https://www.airbnb.com/rooms/54337496"],
    "checkIn": "2027-02-10",
    "checkOut": "2027-02-13"
}
```

### 💰 Pricing

Pay only for the listings you get. No monthly rental.

| Event | Price | What you get |
| --- | --- | --- |
| **Listing details** | $0.004 per listing ($4.00 per 1,000) | One listing with all fields below |
| **Actor start** | $0.00005 per run | Charged once when the run starts |

Examples: 50 listings = $0.20 · 1,000 listings = $4.00.

### 📊 Sample Output Data

```json
{
    "id": "19130047",
    "url": "https://www.airbnb.com/rooms/19130047",
    "name": "AlfaStay 2 - Studio in heart of Alfama!",
    "title": "Rental unit in Lisbon · ★4.82 · 1 bedroom · 1 bed · 1 bath",
    "propertyType": "Entire rental unit",
    "roomType": "Entire home/apt",
    "personCapacity": 2,
    "bedrooms": 1,
    "beds": 1,
    "bathrooms": 1,
    "description": "This renovated studio in the heart of Alfama; the oldest neighborhood in Lisbon! Just a few steps from shops, restaurants and city landmarks…",
    "descriptionLanguage": "pt",
    "rating": 4.82,
    "reviewsCount": 353,
    "ratings": { "cleanliness": 4.8, "accuracy": 4.8, "checkin": 4.9, "communication": 5, "location": 4.8, "value": 4.8 },
    "isGuestFavorite": true,
    "isSuperhost": true,
    "amenities": [
        { "group": "Bathroom", "title": "Hair dryer", "available": true },
        { "group": "Internet and office", "title": "Wifi", "available": true }
    ],
    "houseRules": [
        { "group": "House rules", "title": "No pets", "details": "Service animals only" },
        { "group": "House rules", "title": "Quiet hours", "details": "10:00 PM - 8:00 AM" }
    ],
    "checkIn": "Check in after 3:00 PM",
    "checkOut": "Check out before 11:00 AM",
    "checkInDetails": ["Check in after 3:00 PM", "Check out before 11:00 AM", "Self check-in with lockbox"],
    "cancellationPolicy": "Free cancellation before January 11. Cancel before February 3 for a partial refund.",
    "cancellationTerms": ["Full refund if cancel before 3:00 PM on January 11. Get back 100% of what you paid.."],
    "latitude": 38.70953,
    "longitude": -9.12932,
    "locationName": "Santa Maria Maior, Lisbon",
    "breadcrumbs": ["Portugal", "Lisbon", "Lisbon"],
    "hostName": "Alessandra",
    "hostId": "22605312",
    "hostIsVerified": true,
    "hostRating": 4.8,
    "hostReviewsCount": 1696,
    "hostYearsHosting": 9,
    "hostResponseRate": "100%",
    "hostResponseTime": "Responds within an hour",
    "cohosts": ["Welcome Concept - By Camila And Cynthia", "Amer"],
    "sleepingArrangements": [{ "room": "Bedroom", "beds": "1 queen bed" }],
    "photos": ["https://a0.muscache.com/im/pictures/46f42b7b-744b-44ce-b32c-044b2af0c610.jpg"],
    "stayCheckIn": "2027-02-10",
    "stayCheckOut": "2027-02-13",
    "scrapedAt": "2026-10-22T07:21:47.574Z"
}
```

The sample is shortened; real rows also include `highlights`, `safetyAndProperty`, `locationSummary`, `hostAvatar`, `hostAbout` and `hostHighlights`. `cancellationPolicy` and `cancellationTerms` need stay dates: without them Airbnb does not say which terms apply, and they are `null` and empty.

### 🔁 Schedule and Integrate

Listing details change slowly, so a **monthly** run is enough to keep a market dataset fresh; run it more often if you track competitors' rules or amenities. Use Apify **Schedules**, and send the rows to **Google Sheets**, **Zapier**, **Make**, **n8n** or a webhook with Apify **integrations**.

### 🤖 Use with AI Agents (MCP)

This Actor works as a tool in Claude, ChatGPT, Cursor and other MCP clients through the Apify MCP server (`https://mcp.apify.com`). An agent can call it with:

```json
{ "listings": ["https://www.airbnb.com/rooms/19130047"] }
```

### ❓ FAQ

**Does Airbnb have an official API for listing details?** Only for approved partners and their own listings. This Actor needs no key, account or approval and returns the public details any guest sees on a listing page.

**Does it return prices?** No. Nightly prices depend on dates and guests; get them with the Airbnb Listings Scraper, which prices exact stays.

**Why are some fields empty?** Hosts fill in different parts of a listing. A listing without reviews has no ratings, a home with no co-hosts has an empty `cohosts`, and `cancellationPolicy` needs stay dates.

**Do I need an Airbnb account?** No.

**What happens with a removed listing?** It is skipped, not charged, and named in the status message.

### 🔗 Related Scrapers

- [Airbnb Listings Scraper](https://apify.com/piotrv1001/airbnb-listings-scraper): every listing in a city with prices and ratings; pass its URLs here.
- [Airbnb Reviews Scraper](https://apify.com/piotrv1001/airbnb-reviews-scraper): all reviews of a listing with text, date and host response.
- [Airbnb Availability Calendar Scraper](https://apify.com/piotrv1001/airbnb-availability-calendar-scraper): booked and open nights for up to 12 months.
- [Booking.com Listings Scraper](https://apify.com/piotrv1001/booking-com-listings-scraper): hotels and apartments from Booking.com.
- [Booking Reviews Scraper](https://apify.com/piotrv1001/booking-reviews-scraper): guest reviews from Booking.com.

# Actor input Schema

## `listings` (type: `array`):

Airbnb listing links (https://www.airbnb.com/rooms/…) or numeric listing IDs, one per line. Any Airbnb country domain works.

## `checkIn` (type: `string`):

Optional. With stay dates, rows include the exact cancellation terms for that stay.

## `checkOut` (type: `string`):

Optional stay end (set it together with Check-in).

## `maxItems` (type: `integer`):

Stop after this many listings.

## Actor input object example

```json
{
  "listings": [
    "https://www.airbnb.com/rooms/19130047",
    "https://www.airbnb.com/rooms/54337496"
  ],
  "maxItems": 50
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "listings": [
        "https://www.airbnb.com/rooms/19130047",
        "https://www.airbnb.com/rooms/54337496"
    ],
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("piotrv1001/airbnb-rooms-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "listings": [
        "https://www.airbnb.com/rooms/19130047",
        "https://www.airbnb.com/rooms/54337496",
    ],
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("piotrv1001/airbnb-rooms-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "listings": [
    "https://www.airbnb.com/rooms/19130047",
    "https://www.airbnb.com/rooms/54337496"
  ],
  "maxItems": 50
}' |
apify call piotrv1001/airbnb-rooms-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,piotrv1001/airbnb-rooms-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xaDpIzXJDTMGaCOOI/builds/lC5ghtnaB3Cj3Evuc/openapi.json