# Airbnb Scraper: Listings, Prices, Calendar & Reviews (`ksvan/airbnb-scraper`) Actor

Scrape Airbnb listings by location or URL: price for your dates, rating, coordinates, photos, full description, amenities, host, category ratings, house rules, 12-month availability calendar and reviews with translations. No login, low price per listing.

- **URL**: https://apify.com/ksvan/airbnb-scraper.md
- **Developed by:** [K.S. Van](https://apify.com/ksvan) (community)
- **Categories:** Travel, Real estate, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 Scraper: Listings, Prices, Calendar & Reviews

Scrape **Airbnb listings** by location or URL. Set your **dates and guests** to get the real **total price for the stay**, per-night price and discount. Every listing comes with name, rating, review count, **coordinates**, badges and photos. With **listing details** on, you also get the **full description, amenities, host profile, category ratings, house rules**, bedrooms, beds and bathrooms. Add a **12-month availability calendar** and **reviews** with English translations.

All in one actor, no login, no browser. Pay only per listing and per review delivered.

### What you can paste

- **Locations**: `Lisbon, Portugal`, `Brooklyn, NY`, `Lake Tahoe`, `Bali`
- **Search URLs** (filters in the URL are kept):
  - `https://www.airbnb.com/s/Paris/homes?price_max=150&room_types[]=Entire home/apt`
  - `https://www.airbnb.com/s/Barcelona/homes?checkin=2026-12-01&checkout=2026-12-05&adults=2`
- **Listing URLs or IDs**: `https://www.airbnb.com/rooms/19130047`

### What you get

#### Listings

| Field | Example |
|---|---|
| `listingId`, `url`, `name`, `title` | 19130047, AlfaStay 2 - Studio in heart of Alfama!, Apartment in Santa Maria Maior |
| `price`, `originalPrice`, `pricePerNight`, `nights`, `currency`, `priceText` | 262, 305, 87.33, 3, EUR, €262 for 3 nights, originally €305 |
| `rating`, `reviewsCount`, `ratings` | 4.82, 353, cleanliness / accuracy / check-in / communication / location / value |
| `isGuestFavorite`, `isSuperhost`, `isNew`, `badges` | true, true, false, \["Guest favorite"] |
| `latitude`, `longitude`, `location`, `locationBreadcrumbs` | 38.70953, -9.12932, Lisbon, \["Portugal", "Lisbon"] |
| `propertyType`, `roomType`, `personCapacity`, `bedrooms`, `beds`, `bathrooms` | Entire rental unit, Entire home/apt, 2, 1, 1, 1 |
| `description`, `descriptionLanguage` | full listing description |
| `amenities`, `amenitiesNotIncluded` | \["Kitchen", "Wifi", "Washer", ...] |
| `houseRules`, `safetyAndProperty`, `highlights` | \["No pets", "No smoking", ...] |
| `host` | id, name, superhost, verified, rating, reviews, years hosting, response rate and time, about |
| `photos`, `thumbnail` | all listing photos |
| `calendar`, `availableDaysNext365` | per day: date, available, min/max nights, check-in/check-out allowed |
| `isAvailable`, `priceBreakdown` | for listing URLs with dates: availability and price lines |

#### Reviews

| Field | Example |
|---|---|
| `listingId`, `reviewId`, `rating` | 19130047, 1663722866002326420, 5 |
| `createdAt`, `dateText` | 2026-04-14T12:00:20Z, April 2026 |
| `text`, `language`, `textTranslated` | original text, de, English translation |
| `reviewerName`, `reviewerId`, `reviewerInfo`, `stayInfo` | Mya, 737234700, Reston, Virginia, Stayed a few nights |
| `hostResponse`, `hostResponseDate`, `photos` | the host's public reply |

Fields Airbnb does not show for a listing are `null`.

### Use cases

- **Short-term rental investors and property managers**: compare prices, occupancy (calendar) and ratings of competing listings in any area.
- **Revenue management**: track prices for specific dates and how they change before arrival.
- **Travel and data products**: build maps and catalogues with coordinates, photos and amenities.
- **Review analysis**: see what guests praise and complain about, with translations.

### How to use

1. Add locations, or paste Airbnb search or listing URLs.
2. Set **Check-in**, **Check-out** and guests for exact prices; optionally filter by price, type of place, bedrooms and badges.
3. Choose **Include listing details**, **Include availability calendar** and **Max reviews per listing**.
4. Run. Each listing and each review is one dataset record. The **Listings** and **Reviews** views in the Output tab show them as tables.

#### Example input

```json
{
  "locationQueries": ["Lisbon, Portugal"],
  "checkIn": "2026-11-12",
  "checkOut": "2026-11-15",
  "adults": 2,
  "currency": "EUR",
  "roomTypes": ["entire"],
  "maxListingsPerSearch": 200,
  "includeDetails": true,
  "includeCalendar": true,
  "maxReviewsPerListing": 20
}
```

### Pricing

- **Listing**: charged per listing saved to the dataset. Details and calendar are included, no extra charge.
- **Review**: charged per review saved to the dataset.

Searches that fail or find nothing are reported as `error` records and are **not charged**.

### Tips and limits

- Airbnb shows at most **15 pages of 18 listings** (about 270) for one search. For a whole city, search neighbourhoods or split by price range.
- Hotels and multi-unit listings ("5 apartments") often show no bedroom count; `bedrooms` is then `null`.
- Without dates, Airbnb prices a stay for its own suggested dates; set **Check-in** and **Check-out** for comparable prices.
- Turn off **Include listing details** for a fast list of prices and ratings only.
- Use **Schedules** in Apify Console to track prices and availability over time.

### FAQ

**Is it legal?** The actor reads public listing pages and reviews that Airbnb shows to every visitor. Use the data in line with Airbnb terms and data protection rules, especially for host and guest names.

**Why is the price different from what I see?** Prices depend on dates, guests, currency and your country. Set the same dates, guests and currency as in your browser.

**Something missing?** Open an issue on the Issues tab and I will look at it.

# Actor input Schema

## `locationQueries` (type: `array`):

What you would type in the Airbnb search box: a city, region, neighbourhood or address, e.g. 'Lisbon, Portugal', 'Brooklyn, NY', 'Lake Tahoe'.

## `startUrls` (type: `array`):

Optional. Search pages like https://www.airbnb.com/s/Paris/homes?price_max=150 (filters in the URL are kept) or listing pages like https://www.airbnb.com/rooms/19130047.

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

Optional. With dates you get the total price for the stay; without them Airbnb shows a price for its own suggested dates.

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

Optional. Required together with check-in.

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

Number of adult guests.

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

Ages 2 to 12.

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

Under 2.

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

Only pet-friendly listings when above 0.

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

Currency of prices.

## `minPrice` (type: `integer`):

Optional. In the selected currency.

## `maxPrice` (type: `integer`):

Optional. In the selected currency.

## `roomTypes` (type: `array`):

Optional. Leave empty for any type.

## `minBedrooms` (type: `integer`):

Optional.

## `minBeds` (type: `integer`):

Optional.

## `minBathrooms` (type: `integer`):

Optional.

## `guestFavoriteOnly` (type: `boolean`):

Only listings with the Guest favorite badge.

## `instantBookOnly` (type: `boolean`):

Only listings you can book without approval.

## `maxListingsPerSearch` (type: `integer`):

Airbnb shows up to 15 pages of 18 listings (about 270) for one search. For more, search smaller areas or price ranges.

## `includeDetails` (type: `boolean`):

Full description, amenities, host, category ratings, house rules, all photos, bedrooms and bathrooms. Turn off for a faster list.

## `includeCalendar` (type: `boolean`):

Day-by-day availability and minimum nights for the next 12 months.

## `maxReviewsPerListing` (type: `integer`):

Also scrape this many reviews for every listing. 0 = no reviews.

## `reviewsSort` (type: `string`):

Which reviews come first.

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

Stop after this many listings + reviews. 0 = no limit.

## `maxConcurrency` (type: `integer`):

How many listings are fetched at the same time.

## `maxRetries` (type: `integer`):

Each retry uses a new proxy IP.

## `proxyConfiguration` (type: `object`):

Apify Proxy (datacenter) works well.

## Actor input object example

```json
{
  "locationQueries": [
    "Lisbon, Portugal"
  ],
  "adults": 1,
  "children": 0,
  "infants": 0,
  "pets": 0,
  "currency": "USD",
  "guestFavoriteOnly": false,
  "instantBookOnly": false,
  "maxListingsPerSearch": 100,
  "includeDetails": true,
  "includeCalendar": false,
  "maxReviewsPerListing": 0,
  "reviewsSort": "recent",
  "maxItems": 0,
  "maxConcurrency": 5,
  "maxRetries": 6,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

One record per listing or review (failed inputs appear as error records and are not charged).

# 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 = {
    "locationQueries": [
        "Lisbon, Portugal"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("ksvan/airbnb-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 = {
    "locationQueries": ["Lisbon, Portugal"],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("ksvan/airbnb-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 '{
  "locationQueries": [
    "Lisbon, Portugal"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call ksvan/airbnb-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ksvan/airbnb-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/EUNhAJfce5ykKnbUM/builds/h8I0nHFFrmw5ZKgj3/openapi.json