# Airbnb Scraper - Listings, Prices & Details (`scrapeunblocker/airbnb-scraper`) Actor

Scrape Airbnb search results and listings as structured JSON: title, price, rating, reviews, room type, location and link. Powered by ScrapeUnblocker anti-bot bypass.

- **URL**: https://apify.com/scrapeunblocker/airbnb-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 $3.00 / 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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Airbnb Stays Scraper

Scrape **Airbnb stay listings** as clean, structured JSON - name, room type, price (in USD), rating, review count, badges, coordinates and a direct room URL. Automatic pagination and full filtering. No Airbnb login.

Powered by [ScrapeUnblocker](https://scrapeunblocker.com)'s anti-bot bypass - no proxies or CAPTCHA setup.

### What you get per listing

- **Name** and **room type**
- **Price** in USD (by default), plus any original/strikethrough price and the price qualifier
- **Rating** and **review count**
- **Badges** (e.g. Guest favourite)
- **Coordinates** (latitude, longitude)
- Cover **photo** and a clean room **URL**

### Features

- **Prices in USD** - the scraper exits via the US by default, so prices come back in dollars (set `proxy_country` for another market).
- **Real dated pricing** - add `checkin`/`checkout` and `adults` for the actual price for those nights.
- **Automatic pagination** - set `max_results` and the scraper pages through Airbnb until it collects that many.
- **Filtering** - price range and room type (entire home, private room, hotel room, shared room).
- **Any destination** - a US city (`Austin, TX`) or an international one (`Paris, France`).

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `location` | string | **required** | City to search, e.g. `Austin, TX`. |
| `checkin` / `checkout` | string | - | Dates YYYY-MM-DD for real dated pricing. |
| `adults` | integer | - | Number of guests. |
| `room_type` | select | Any | entire\_home, private\_room, hotel\_room, shared\_room. |
| `min_price` / `max_price` | integer | - | Nightly price range (needs dates). |
| `max_results` | integer | 96 | How many stays to collect (~18 per page). |
| `proxy_country` | string | - | Exit-IP country (ISO-2), or blank for US (USD). |

### Example output (one dataset item)

```json
{
  "id": "1516509370603548960",
  "name": "Luxe Rainey DTown Oasis | Private Pool + Hot Tub",
  "roomType": "Home in Austin",
  "price": 1582,
  "priceText": "$1,582",
  "priceQualifier": "total",
  "rating": 4.95,
  "reviewCount": 59,
  "badges": ["Guest favourite"],
  "latitude": 30.25642,
  "longitude": -97.73184,
  "url": "https://www.airbnb.com/rooms/1516509370603548960"
}
```

### Use cases

- **Rate & occupancy research** - nightly prices across a market and set of dates.
- **Competitor tracking** - listings, ratings and badges in your area.
- **Travel tools** - a search or price-alert feed over public Airbnb listings.
- **Investment analysis** - review counts and ratings as demand signals.

### Pricing

$4 per 1,000 listings - cheaper than comparable Airbnb scrapers.

***

Built on [ScrapeUnblocker](https://scrapeunblocker.com). Questions? [developers.scrapeunblocker.com](https://developers.scrapeunblocker.com)

# Actor input Schema

## `location` (type: `string`):

City to search, e.g. 'Austin, TX' or 'Paris, France'.

## `checkin` (type: `string`):

Check-in date YYYY-MM-DD (use with check-out for real dated pricing).

## `checkout` (type: `string`):

Check-out date YYYY-MM-DD.

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

Number of adult guests.

## `room_type` (type: `string`):

Property type. Leave as Any for all.

## `min_price` (type: `integer`):

Minimum nightly price (needs check-in/check-out).

## `max_price` (type: `integer`):

Maximum nightly price (needs check-in/check-out).

## `max_results` (type: `integer`):

How many stays to collect across pages (~18 per page).

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

Exit-IP country (ISO-2). Leave blank for US (so prices are in USD).

## Actor input object example

```json
{
  "location": "Austin, TX",
  "room_type": "",
  "max_results": 96
}
```

# Actor output Schema

## `items` (type: `string`):

Collected stay listings

# 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 = {
    "location": "Austin, TX"
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeunblocker/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 = { "location": "Austin, TX" }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeunblocker/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/UOejU9mDAro2WjjeH/builds/QKiOsNfnNBxbJSubz/openapi.json