# Airbnb Scraper (Listings, Prices, Ratings, Coordinates) (`webdatatools/airbnb-scraper`) Actor

Scrape Airbnb search results for any destination and dates: stay name, type, area, coordinates, rating and review count, Superhost and Guest favorite badges, total and per-night price, discounts, bedrooms, beds, baths, free cancellation, photos.

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

## Pricing

from $0.60 / 1,000 stays

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

### What is Airbnb Scraper?

**Airbnb Scraper** collects stays from **Airbnb** search results for any destination and dates. Type a city, region or neighbourhood (`Lisbon, Portugal`, `Kyoto`), or paste an Airbnb search URL with your own filters, and it returns each stay with its **name, property type, area, coordinates, rating and review count, Superhost and Guest favourite badges, total price for your dates, the pre-discount price, the price per night, bedrooms, beds, baths, free-cancellation flag and photos**. **$1 per 1,000 stays.**

Use it for short-term-rental market research, pricing your own listing against the neighbourhood, investment analysis, travel price monitoring, or building lead lists of hosts' properties by area.

### What data does Airbnb Scraper extract?

| Field | Description |
|---|---|
| `position` | Rank in the search results |
| `listingId`, `url` | Airbnb listing id and its `/rooms/` page |
| `name`, `title`, `propertyType`, `area`, `subtitle` | Listing name, card title ("Apartment in Alfama") split into type and area |
| `latitude`, `longitude` | Map position |
| `rating`, `reviewCount`, `isNew` | Average rating (1–5), number of reviews, new listing without reviews |
| `isSuperhost`, `isGuestFavorite`, `badges` | Host and listing badges |
| `price`, `originalPrice`, `priceText`, `pricePerNight` | Total for the stay, the price before a discount, the text as shown, and total ÷ nights |
| `bedrooms`, `beds`, `baths` | Room counts as Airbnb shows them on the card |
| `freeCancellation` | Free cancellation offered for these dates |
| `photos` | Photo URLs |
| `checkIn`, `checkOut`, `nights`, `adults`, `children`, `infants`, `pets`, `currency` | The stay the price is for |
| `searchLocation`, `searchUrl` | The search |

### How to use Airbnb Scraper

1. Enter **Locations**, several separated by `;`, and/or paste **Airbnb search URLs** (`airbnb.com/s/...`) with filters such as amenities or a map area.
2. Set **Check-in** and **Check-out** (empty: 30 days from today, 2 nights), guests, **Type of place**, a price range and the **Currency**.
3. Set **Max stays per search** (default 100) and run.
4. Download the stays as JSON, CSV, Excel or HTML, or read them through the API.

### Example input

```json
{
    "locations": "Lisbon, Portugal; Kyoto",
    "checkIn": "2026-12-07",
    "checkOut": "2026-12-12",
    "adults": 2,
    "roomType": "entire",
    "currency": "EUR",
    "maxListings": 200
}
```

### Example output

```json
{
    "position": 14,
    "listingId": "1523372953343863493",
    "url": "https://www.airbnb.com/rooms/1523372953343863493",
    "name": "Duplex in Alfama, Pocinho",
    "title": "Apartment in Santa Maria Maior",
    "propertyType": "Apartment",
    "area": "Santa Maria Maior",
    "latitude": 38.71226,
    "longitude": -9.12819,
    "rating": 4.78,
    "reviewCount": 40,
    "isSuperhost": true,
    "isGuestFavorite": false,
    "price": 406,
    "originalPrice": 494,
    "priceText": "€406 for 5 nights, originally €494",
    "pricePerNight": 81.2,
    "bedrooms": 1,
    "beds": 1,
    "baths": 1,
    "freeCancellation": true,
    "checkIn": "2026-12-07",
    "checkOut": "2026-12-12",
    "nights": 5,
    "currency": "EUR",
    "searchLocation": "Lisbon, Portugal"
}
```

### How much does it cost?

Pay per result: **$0.001 per stay ($1 per 1,000)**, with volume discounts on paid Apify plans. Searches that fail or find nothing are listed in the `ERRORS` record and cost nothing. Set **Maximum cost per run** to cap spend.

### Limits

- **Airbnb shows at most 15 pages (270 cards, usually 200–250 different stays) per search.** For more, split the destination into neighbourhoods or price ranges.
- The data is what the search results show. Host names, full descriptions, amenities lists, house rules and reviews are on each listing's own page and are not collected.
- Some cards show only beds, not bedrooms (typically one-room places), so `bedrooms` can be empty.
- The Actor starts without a proxy and moves to Apify Residential proxy only if Airbnb blocks the run.

### Using Airbnb Scraper with AI agents

The Actor is pay-per-event with limited permissions, so AI agents can call it through Apify's MCP server (`mcp.apify.com`), for example with `{"locations": "Barcelona", "checkIn": "2026-12-01", "checkOut": "2026-12-04", "maxListings": 30}`. It also accepts `location`, `destination`, `query`, `url`, `urls` and `startUrls`.

### FAQ

**Is scraping Airbnb legal?** The Actor reads public search results that anyone can see without an account. Check that your use of the data is allowed where you are.

**Why do prices differ from what I see in my browser?** Airbnb prices depend on dates, guests, currency and sometimes on the visitor's country. Set the same dates, guests and currency in the input.

### Related Actors

Part of the **webdatatools** web-intelligence suite — every Actor is pay-per-event, reads public data
without a login, and returns one clean row per entity:

Browse the whole suite at [webdatatools](https://paulet4a-commits.github.io/webdatatools/), or call ten of
these Actors straight from Claude, Cursor or Cline with the
[webdatatools MCP server](https://github.com/paulet4a-commits/webdatatools-mcp-server).

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# Actor input Schema

## `locations` (type: `string`):

City, region or neighbourhood, several separated by `;` (e.g. `Lisbon, Portugal; Bali; Brooklyn, NY`).

## `searchUrls` (type: `array`):

Optional: search URLs copied from airbnb.com (`airbnb.com/s/...`) with your filters (amenities, map area, property type). Dates and guests in the URL are kept.

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

YYYY-MM-DD. Empty: 30 days from today.

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

YYYY-MM-DD. Empty: 2 nights after check-in.

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

Guests aged 13 or over.

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

Ages 2–12.

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

Under 2.

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

Number of pets.

## `roomType` (type: `string`):

Entire homes, private rooms, shared rooms or hotel rooms only.

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

In the chosen currency.

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

In the chosen currency.

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

ISO code for prices, e.g. `USD`, `EUR`, `GBP`, `TRY`.

## `maxListings` (type: `integer`):

For each location or URL. Airbnb shows up to about 270 stays (15 pages) per search.

## `proxyMode` (type: `string`):

auto: direct first, Apify Residential proxy only if Airbnb blocks. never: direct only. always: Residential from the start.

## Actor input object example

```json
{
  "locations": "Lisbon, Portugal",
  "adults": 2,
  "children": 0,
  "infants": 0,
  "pets": 0,
  "roomType": "any",
  "currency": "USD",
  "maxListings": 100,
  "proxyMode": "auto"
}
```

# Actor output Schema

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

All stays from this run.

# 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 = {
    "locations": "Lisbon, Portugal"
};

// Run the Actor and wait for it to finish
const run = await client.actor("webdatatools/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 = { "locations": "Lisbon, Portugal" }

# Run the Actor and wait for it to finish
run = client.actor("webdatatools/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 '{
  "locations": "Lisbon, Portugal"
}' |
apify call webdatatools/airbnb-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,webdatatools/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/dgx4mcg0ZCcqrPPr4/builds/AchXx4ALkGEs9T07H/openapi.json