# Airbnb Scraper — Listings, Prices, Ratings & Hosts (`bovi/airbnb-scraper`) Actor

Scrape Airbnb stays by location with optional dates and guests. Returns title, price/night, total price, room type, beds/bedrooms, rating, review count, superhost, host name, coordinates, amenities, images, and listing URL.

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

## Pricing

from $1.84 / 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.
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?

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 Scraper — Listings, Prices, Ratings, Hosts

Scrape Airbnb stays by location (city, region, or address) with optional date and guest filters.  Returns 26 structured fields per listing including price/night, total stay price, room type, bed/bedroom info, rating, review count, superhost status, host name, GPS coordinates, amenities, and image URLs.

### Features

- **Search by any location** — city name, address, or region (e.g. `"Paris, France"`, `"New York, NY"`)
- **Optional date filtering** — pass `checkIn`/`checkOut` to get actual stay prices
- **Guest count** — filter by number of adults
- **Price range** — `priceMin` / `priceMax` per night in USD
- **Full host info** — host name + Superhost / Guest Favorite badges
- **Amenities** — list of available amenities per listing (Wifi, Kitchen, AC, etc.)
- **GPS coordinates** — latitude/longitude for every listing
- **26 fields per listing** — pay only for what you get (PPE pricing)

### Use Cases

- **Short-term rental market research** — compare prices, ratings, and amenity offerings across neighborhoods
- **Investment property analysis** — find average nightly rates and occupancy signals
- **Lead generation** — identify superhosts and top-rated properties for partnership outreach
- **Travel planning tools** — build apps that surface the best stays for any destination
- **Competitive intelligence** — monitor pricing and availability trends

### Input

| Field | Type | Description |
|-------|------|-------------|
| `location` | string | **Required.** City, region, or address (e.g. `"Paris, France"`) |
| `checkIn` | string | Check-in date `YYYY-MM-DD` (optional, for actual stay prices) |
| `checkOut` | string | Check-out date `YYYY-MM-DD` (optional) |
| `adults` | integer | Number of adult guests (default: 1) |
| `priceMin` | integer | Minimum price per night in USD |
| `priceMax` | integer | Maximum price per night in USD |
| `maxItems` | integer | Max listings to return (default: 100; 0 = all available) |
| `enrichDetails` | boolean | Fetch detail page for host name + amenities (default: true) |
| `proxyConfiguration` | object | Proxy settings (Apify Residential recommended) |

### Output

Each record contains:

```json
{
  "listing_id": "1536119775792438782",
  "url": "https://www.airbnb.com/rooms/1536119775792438782",
  "title": "Apartment in Paris",
  "name": "Balcony Eiffel Tower View : Newly Refurbished Apt",
  "room_type": "Entire home/apt",
  "price_per_night": 534.63,
  "price_total": 2674.0,
  "price_original": null,
  "stay_nights": 5,
  "currency": "USD",
  "rating": 4.97,
  "review_count": 39,
  "is_superhost": true,
  "is_guest_favorite": true,
  "host_name": "Toni",
  "host_id": "540951866",
  "bedrooms": "1 bedroom",
  "beds": "2 beds",
  "bathrooms": "1 bath",
  "person_capacity": 4,
  "latitude": 48.84328,
  "longitude": 2.29114,
  "amenities": ["Kitchen", "Wifi", "TV", "Elevator", "Washer", "Dryer"],
  "images": ["https://a0.muscache.com/..."],
  "search_location": "Paris, France",
  "scraped_at": "2026-06-05T10:23:00+00:00"
}
```

### Pricing

Pay-per-result: **$1.90 per 1,000 listings** (charged after successful push, never on failure).

### Notes

- Airbnb caps search results at approximately 270–300 listings per location search.
- For broader coverage search by neighborhood or use date ranges to vary results.
- `enrichDetails: false` skips detail-page fetches (faster, no `host_name`/`amenities`).
- The actor uses Airbnb's internal GraphQL API — no fragile HTML scraping.

### More scrapers from our toolkit

Building a data pipeline? These actors pair well with this one — each runs on your own Apify account with the same pay-per-result pricing, no subscription:

- [Agoda Scraper](https://apify.com/bovi/agoda-scraper)
- [Opentable Scraper](https://apify.com/bovi/opentable-scraper)

Chain any of them together from the **Integrations** tab (the *Run succeeded* trigger) to build a multi-step workflow — one actor's output feeds the next.

# Actor input Schema

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

City, region, or address to search on Airbnb (e.g. 'Paris, France', 'New York, NY', 'Tokyo, Japan'). Required.

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

Optional check-in date in ISO format (e.g. '2026-07-10'). When set, prices will reflect the actual stay cost. Leave blank for general listing prices.

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

Optional check-out date in ISO format (e.g. '2026-07-15'). Must be after checkIn.

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

Number of adult guests (default 1). Affects which listings are shown.

## `priceMin` (type: `integer`):

Only return listings priced at or above this amount per night. Leave blank for no minimum.

## `priceMax` (type: `integer`):

Only return listings priced at or below this amount per night. Leave blank for no maximum.

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

Maximum number of listings to return. Default 100. Set to 0 for all available (up to Airbnb's ~300 result cap). You are charged per listing returned.

## `enrichDetails` (type: `boolean`):

When enabled, fetches each listing's detail page to add host name and full amenities list. Costs one extra request per listing but gives richer data. Default: true.

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

Proxy settings for scraping. Airbnb's search API typically works without a proxy, but RESIDENTIAL is recommended for detail-page enrichment at scale.

## Actor input object example

```json
{
  "location": "Paris, France",
  "adults": 1,
  "maxItems": 20,
  "enrichDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Dataset containing Airbnb Scraper records (listing\_id, title, name, room\_type, price\_per\_night, price\_total, rating, review\_count, is\_superhost, host\_name, beds, bedrooms, latitude, longitude, url).

# 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": "Paris, France",
    "adults": 1,
    "maxItems": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/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": "Paris, France",
    "adults": 1,
    "maxItems": 20,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/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": "Paris, France",
  "adults": 1,
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call bovi/airbnb-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bovi/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/H0eBU8ZoaZHZ9MKTX/builds/6yhao12SbGvKabERW/openapi.json