# Airbnb Listing Scraper (`admo-solutions/airbnb-listing-scraper`) Actor

Scrape Airbnb listings with prices, ratings, reviews, and property details.

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

## Pricing

from $4.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Listing Scraper

Scrape **Airbnb listings** with prices, ratings, reviews, and property details. Extract rental data from any location worldwide.

### What does this Actor do?

Extracts Airbnb rental listings including:

- **Pricing**: Price per night, currency, total price
- **Ratings**: Star rating, review count
- **Property details**: Guests, bedrooms, beds, bathrooms
- **Host info**: Superhost status
- **Images**: Listing photos
- **Links**: Direct URLs to listings

### Why use this Actor?

- **Travel planners**: Compare prices across locations
- **Real estate investors**: Analyze rental market rates
- **Competitors**: Monitor Airbnb pricing trends
- **Researchers**: Study short-term rental markets

### How to use

1. Add search locations (e.g., "Paris, France", "Tokyo, Japan")
2. Set max listings per location
3. Optional: Add check-in/check-out dates for price accuracy
4. Run the Actor

### Input

| Field | Type | Required | Default |
|-------|------|----------|---------|
| locations | array | Yes | - |
| maxListings | integer | No | 20 |
| checkIn | string | No | "" |
| checkOut | string | No | "" |
| guests | integer | No | 1 |
| minPrice | integer | No | 0 |
| maxPrice | integer | No | 0 |

### Output example

```json
{
  "listingId": "12345678",
  "title": "Cozy Studio in Paris",
  "pricePerNight": "85",
  "currency": "EUR",
  "rating": "4.92",
  "reviewCount": "127",
  "location": "Paris, France",
  "propertyType": "Entire rental unit",
  "guests": "2",
  "bedrooms": "1",
  "beds": "1",
  "bathrooms": "1",
  "superhost": "Yes",
  "url": "https://www.airbnb.com/rooms/12345678"
}
```

### Data table

| Field | Description |
|-------|-------------|
| listingId | Airbnb listing ID |
| title | Property name |
| pricePerNight | Nightly rate |
| currency | USD, EUR, GBP, etc. |
| rating | Star rating (0-5) |
| reviewCount | Number of reviews |
| location | City/region |
| propertyType | Apartment, house, etc. |
| guests | Max guest capacity |
| bedrooms | Number of bedrooms |
| beds | Number of beds |
| bathrooms | Number of bathrooms |
| superhost | Superhost status |
| imageUrl | Listing photo URL |
| url | Direct listing link |

### Cost estimation

- **20 listings**: ~$0.02
- **100 listings**: ~$0.10
- **200 listings**: ~$0.20

Uses Playwright browser for reliable scraping with anti-bot protection.

### Tips

- Add check-in/check-out dates for accurate pricing
- Use specific locations for better results
- Higher guest counts may affect pricing
- Increase delays if rate-limited

### Disclaimer

This Actor scrapes publicly available data from Airbnb. Users are responsible for compliance with Airbnb's Terms of Service.

### Support

For issues or feature requests, use the Issues tab.

# Actor input Schema

## `locations` (type: `array`):

List of locations to search (e.g., 'Paris, France', 'New York, NY')

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

Maximum number of listings to scrape per location

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

Check-in date (YYYY-MM-DD format, optional)

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

Check-out date (YYYY-MM-DD format, optional)

## `guests` (type: `integer`):

Number of guests filtering

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

Minimum price filter (0 = no minimum)

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

Maximum price filter (0 = no maximum)

## `minDelay` (type: `integer`):

Minimum delay between page loads

## `maxDelay` (type: `integer`):

Maximum delay between page loads

## Actor input object example

```json
{
  "locations": [
    "Paris, France"
  ],
  "maxListings": 20,
  "checkIn": "",
  "checkOut": "",
  "guests": 1,
  "minPrice": 0,
  "maxPrice": 0,
  "minDelay": 2,
  "maxDelay": 5
}
```

# Actor output Schema

## `dataset` (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 = {
    "locations": [
        "Paris, France"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("admo-solutions/airbnb-listing-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": ["Paris, France"] }

# Run the Actor and wait for it to finish
run = client.actor("admo-solutions/airbnb-listing-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": [
    "Paris, France"
  ]
}' |
apify call admo-solutions/airbnb-listing-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,admo-solutions/airbnb-listing-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/tcS94P5fwvDUvRQaH/builds/EpZQye3X4WtvMKYlz/openapi.json