# Airbnb Room Details Scraper - $1.20 / 1000 Listings (`scrapeunblocker/airbnb-room-scraper`) Actor

Scrape full Airbnb listing details by room ID or URL: description, host, ratings by category, amenities, photos, house rules, location, plus price, availability and cancellation policy for your dates and optional guest reviews. $1.20 per 1000 listings.

- **URL**: https://apify.com/scrapeunblocker/airbnb-room-scraper.md
- **Developed by:** [Scrapeunblocker](https://apify.com/scrapeunblocker) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 listings

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 Room Details Scraper

Scrape the **full details of Airbnb listings** by room ID or URL and get clean structured JSON - description, host, category ratings, amenities, photos, house rules and location, plus **price, availability and cancellation policy** for your dates and optional **guest reviews**. No login, no proxies or browsers to configure.

Works with listing IDs and room URLs from any Airbnb domain (airbnb.com, airbnb.co.uk, airbnb.de, ...).

### Features

- **Listing facts** - title, description, room and property type, guests, bedrooms, beds, bathrooms, sleeping arrangements.
- **Location** - city, region, country and coordinates.
- **Host** - name, Superhost and verified flags, years hosting, rating, response rate and time, co-hosts.
- **Ratings** - overall plus accuracy, cleanliness, check-in, communication, location and value, the star distribution and review tags.
- **Amenities** grouped by category, **photos** with room captions, highlights, house rules, check-in and check-out times, safety info.
- **Price and availability** - add check-in and check-out dates to get the total and nightly price with breakdown, whether the dates are available and the cancellation policy.
- **Guest reviews** - up to 100 per listing, sorted by relevance, date or rating, at no extra charge.
- **Currency and language** of your choice.

### Use cases

- Short-term rental market research and competitor tracking.
- Price monitoring for specific listings and dates.
- Enriching listing IDs collected from Airbnb search with full details.
- Review and sentiment analysis for hosts and property managers.

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `rooms` | array | `["739227"]` | Listing IDs or room URLs. One result per room. |
| `check_in` / `check_out` | string | - | Stay dates (YYYY-MM-DD), set both to get price and availability. |
| `adults` | integer | `1` | Adult guests (1-16). |
| `children` / `infants` / `pets` | integer | `0` | Other guests. |
| `currency` | string | `USD` | Price currency (USD, EUR, GBP, ...). |
| `include_reviews` | boolean | `false` | Also return guest reviews. |
| `max_reviews` | integer | `20` | Reviews per listing (1-100). |
| `reviews_sort` | string | `most_relevant` | `most_relevant`, `most_recent`, `highest_rated` or `lowest_rated`. |
| `locale` | string | `en` | Language of Airbnb's texts. |
| `concurrency` | integer | `3` | Rooms fetched at the same time (1-5). |

#### Example input

```json
{
  "rooms": ["739227", "https://www.airbnb.com/rooms/23860926"],
  "check_in": "2027-03-10",
  "check_out": "2027-03-14",
  "adults": 2,
  "currency": "EUR",
  "include_reviews": true,
  "max_reviews": 10,
  "reviews_sort": "most_recent"
}
```

### Output

One dataset item per room (shortened):

```json
{
  "id": "739227",
  "url": "https://www.airbnb.com/rooms/739227",
  "title": "T1 Bairro Alto - 2 min from Baixa and Chiado",
  "roomType": "Entire home/apt",
  "propertyType": "Entire rental unit",
  "location": { "city": "Lisbon", "country": "Portugal", "lat": 38.71048, "lng": -9.14336 },
  "host": { "name": "Alvaro", "isSuperhost": true, "yearsHosting": 13, "responseRate": 90 },
  "rating": { "overall": 4.94, "cleanliness": 4.91, "location": 4.91, "value": 4.87 },
  "reviewsCount": 232,
  "isGuestFavorite": true,
  "guests": 3,
  "bedrooms": 1,
  "beds": 1,
  "bathrooms": 1,
  "amenities": [{ "group": "Bathroom", "items": [{ "name": "Bathtub", "available": true }] }],
  "photos": [{ "url": "https://a0.muscache.com/im/pictures/...", "room": "Living room" }],
  "checkIn": "Flexible check-in",
  "checkOut": "Checkout before 11:00 AM",
  "available": null,
  "price": null,
  "reviews": null
}
```

With dates, `available`, `cancellationPolicy` and `price` (`total`, `nightly`, `currency`, breakdown) are filled in; with `include_reviews`, `reviews` holds the guest reviews (text, rating, date, reviewer, host response).

Rooms that fail (removed, private or wrong ID) are listed in the `ERRORS` record of the key-value store and are **not billed**.

### Pricing

**$1.20 per 1000 listings.** Reviews included in a listing cost nothing extra. Failed rooms are not charged.

### Notes

- Prices appear only when the dates are bookable; for booked dates `available` is `false` and `unavailableReason` explains why.
- Airbnb shows at most the reviews it exposes publicly for a listing.

# Actor input Schema

## `rooms` (type: `array`):

Airbnb listing IDs (e.g. 739227) or room URLs on any Airbnb domain (e.g. https://www.airbnb.co.uk/rooms/739227). One dataset item per room.

## `check_in` (type: `string`):

YYYY-MM-DD. Together with the check-out date it adds the total and nightly price (with breakdown), availability and the cancellation policy.

## `check_out` (type: `string`):

YYYY-MM-DD. Set together with the check-in date.

## `adults` (type: `integer`):

Adult guests (affects the price).

## `children` (type: `integer`):

Children aged 2-12.

## `infants` (type: `integer`):

Infants under 2.

## `pets` (type: `integer`):

Pets.

## `currency` (type: `string`):

Price currency, ISO code such as USD, EUR, GBP.

## `include_reviews` (type: `boolean`):

Also return guest reviews (text, rating, date, reviewer, host response) inside each listing item. No extra charge.

## `max_reviews` (type: `integer`):

How many reviews to return per listing (1-100) when reviews are included.

## `reviews_sort` (type: `string`):

Order of the returned reviews.

## `locale` (type: `string`):

Language for Airbnb's texts, e.g. en, de, fr, es, pt-BR. Host-written text is translated when Airbnb has a translation.

## `proxy_country` (type: `string`):

ISO-2 country to browse Airbnb from. Leave empty - the service picks the best exit (US) itself.

## `concurrency` (type: `integer`):

How many rooms to fetch at the same time.

## Actor input object example

```json
{
  "rooms": [
    "739227"
  ],
  "adults": 1,
  "children": 0,
  "infants": 0,
  "pets": 0,
  "currency": "USD",
  "include_reviews": false,
  "max_reviews": 20,
  "reviews_sort": "most_relevant",
  "locale": "en",
  "proxy_country": "",
  "concurrency": 3
}
```

# Actor output Schema

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

One item per room with all listing details

## `errors` (type: `string`):

Rooms that returned no data, with the reason (not billed)

# 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 = {
    "rooms": [
        "739227"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeunblocker/airbnb-room-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 = { "rooms": ["739227"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapeunblocker/airbnb-room-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 '{
  "rooms": [
    "739227"
  ]
}' |
apify call scrapeunblocker/airbnb-room-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeunblocker/airbnb-room-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/lNQnE37eODs21ShY2/builds/reVd4mGOIemCydFfk/openapi.json