# Airbnb Scraper — Airbnb API Alternative for Listings & Prices (`nexgendata/airbnb-scraper`) Actor

Airbnb scraper and Airbnb API alternative — Airbnb has no open public API. Search any city for your dates and get one record per listing: name, room type, nightly price (when Airbnb shows it), rating, review count, location, photos and listing URL, as clean JSON. For short-term rental research.

- **URL**: https://apify.com/nexgendata/airbnb-scraper.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Travel, Real estate, Business
- **Features:** Limited permissions
- **Stats:** 32 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $45.00 / 1,000 rental 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?

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 — Airbnb API Alternative for Listings & Prices

Airbnb Scraper is a NexGenData tool on Apify that returns listings with nightly price, rating, reviews, room type and photos from Airbnb search results.

Airbnb scraper and Airbnb API alternative — Airbnb has no open public API. Search any city for your dates and get one record per listing: name, room type, nightly price (when Airbnb shows it), rating, review count, location, photos and listing URL, as clean JSON. For short-term rental research.

> Public marketplace and product data, assembled for competitive research.

### 📊 Sample Output

![6 real rows delivered by Airbnb Scraper — Listings, Prices & Reviews API — run Oo96LdIQujTcA9pu8 on build 0.0.26](https://api.apify.com/v2/key-value-stores/8gLgXMBveEI1tTz1z/records/airbnb-scraper-sample)

| `id` | `name` | `location` | `latitude` | `longitude` | `room_type` |
|---|---|---|---|---|---|
| 1257287972746351647 | Moxy NYC Times Square, Selected by hotel | Hotel in Midtown Manhattan | 40.7524 | -73.9895 | Moxy NYC Times Square |
| 1704378900955277956 | Little Something, Queen room | Hotel in The Financial District | 40.7076 | -74.0062 | Little Something |
| 1558123674478320116 | Radio City Apartments, Deluxe Studio Apartment wi. | Hotel in Times Square | 40.7599 | -73.983 | Radio City Apartments |
| 1172500363755547171 | Feather Factory Hotel, Selected by hotel | Hotel in Long Island City | 40.7441 | -73.9406 | Feather Factory Hotel |
| 1776999948105265523 | NoMo SoHo, Selected by hotel | Hotel in SoHo | 40.7198 | -74 | NoMo SoHo |
| 1643351505460876003 | Bunk pod | Hotel in Midtown Manhattan | 40.7584 | -73.9931 | Pod Times Square Hotel |

Real rows from run `Oo96LdIQujTcA9pu8` on build 0.0.26 (2026-09-24), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

### ⚙️ Sample inputs

This is the Store example input — the same input Apify's automated check runs — so it is proven to return rows on the current build. Paste it into the input form, or send it through the API, CLI or a schedule:

```json
{
  "location": "New York, NY",
  "adults": 2,
  "maxResults": 20
}
```

### 🔧 Input reference

| Field | Type | Default | What it does |
|---|---|---|---|
| `location` (required unless `locations` is set) | string | `"New York, NY"` | Destination city, neighborhood, or region to search (e.g. 'Paris, France', 'Tokyo, Japan', 'New York, NY'). |
| `locations` | array | `[]` | Optional list of destinations (cities, neighborhoods or regions). Each entry runs exactly like `location` and returns the same records, charged the same per record, as a run of its own. |
| `checkin` | string |  | Check-in date in YYYY-MM-DD format. Leave empty for flexible dates. |
| `checkout` | string |  | Check-out date in YYYY-MM-DD format. Leave empty for flexible dates. |
| `adults` | integer | `2` | Number of adult guests. |
| `minPrice` | integer |  | Minimum nightly price in USD. Leave empty for no minimum. |
| `maxPrice` | integer |  | Maximum nightly price in USD. Leave empty for no maximum. |
| `maxResults` | integer | `20` | Maximum number of listings to return (1-100). |

### 🧾 JSON sample record

One real record from run `Oo96LdIQujTcA9pu8` (emails/phones masked, long text shortened):

```json
{
  "id": "1257287972746351647",
  "name": "Moxy NYC Times Square, Selected by hotel",
  "location": "Hotel in Midtown Manhattan",
  "latitude": 40.7524,
  "longitude": -73.9895,
  "room_type": "Moxy NYC Times Square",
  "person_capacity": null,
  "beds": null,
  "bedrooms": null,
  "bathrooms": null,
  "price_per_night": null,
  "currency": "USD",
  "total_price": null,
  "price_display": null,
  "rating": 4.65,
  "reviews_count": 102,
  "host_name": null,
  "host_is_superhost": null,
  "amenities": [],
  "listing_url": "https://www.airbnb.com/rooms/1257287972746351647",
  "photos": [
    "https://a0.muscache.com/im/pictures/BnbProperty/BnbProperty-1537858575418700275/original/035dac41-6d0e-4ffa-a525-8e4957e18db1.jpeg",
    "https://a0.muscache.com/im/pictures/BnbProperty/BnbProperty-1537858575418700275/original/56c8f6ca-1619-4b72-857c-1fcbfa1fd12e.jpeg",
    "https://a0.muscache.com/im/pictures/BnbProperty/BnbProperty-1537858575418700275/original/70978330-227e-4547-a75a-c6b9feac3132.jpeg",
    "https://a0.muscache.com/im/pictures/BnbProperty/BnbProperty-1537858575418700275/original/127f59da-99c8-406d-bf27-dbfc416f6bf9.jpeg",
    "https://a0.muscache.com/im/pictures/BnbProperty/BnbProperty-1537858575418700275/original/ad5f23e3-e5c1-4d95-a563-1e753c1bbcfd.jpeg",
    "https://a0.muscache.com/im/pictures/BnbProperty/BnbProperty-1537858575418700275/original/57f7f6a3-fd7d-426a-85e4-24d4b2259979.jpeg"
  ]
}
```

### 💰 Pricing

| Event | Price (USD) | When it is charged |
|---|---|---|
| Actor Start (`apify-actor-start`) | $0.005 | Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). |
| Rental listing (`apify-default-dataset-item`) | $0.045 | Single result in the default dataset. |

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.045 = $4.50 plus the start fee.

### 🔗 Related Actors

More from the NexGenData **Data APIs** family:

- [AI Sentiment Analyzer — Review & Text Sentiment API](https://apify.com/nexgendata/ai-sentiment-analyzer?fpr=2ayu9b)
- [APAC Disclosure Monitor — Pan-Asia Regulatory Filings API](https://apify.com/nexgendata/apac-disclosure-monitor?fpr=2ayu9b)
- [APAC IPO Calendar Sweep — Pan-Asia New Listings API](https://apify.com/nexgendata/apac-ipo-calendar-sweep?fpr=2ayu9b)
- [Baidu SERP API — China Search Results & Rank Tracker](https://apify.com/nexgendata/baidu-search-results?fpr=2ayu9b)

29 more in this family on the [NexGenData Store page](https://apify.com/nexgendata?fpr=2ayu9b).

### ⏰ Run this as a daily price/listing watch (recommended)

Prices and listings move constantly. Schedule a daily sweep (`0 7 * * *`) and track changes over time — an always-on listing feed.

### 📊 What you get

Clean JSON, one record per listing (full output has 14 fields):

- `id` — Id
- `name` — Name
- `url` — Url
- `room_type` — Room type
- `price` — Price
- `currency` — Currency
- `rating` — Rating
- `reviews_count` — Reviews count
- `location` — Location
- `latitude` — Latitude

**Pricing:** $0.045 per listing (Pay-Per-Event) — about **22 listings per $1**.

### 🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull data on demand.

**Agentic payments (x402):** Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

### 🔗 Related actors

**Travel data family — listings, prices and reviews across platforms:**

[Booking.com](https://apify.com/nexgendata/booking-com-scraper) · [Tripadvisor](https://apify.com/nexgendata/tripadvisor-scraper)

**Agent front door — Travel MCP:** [Travel MCP](https://apify.com/nexgendata/travel-mcp-server)

***

*Public web data, assembled for research and monitoring.*

# Actor input Schema

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

Airbnb API alternative — no key needed: Destination city, neighborhood, or region to search (e.g. 'Paris, France', 'Tokyo, Japan', 'New York, NY').

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

Optional list of destinations (cities, neighborhoods or regions). Each entry is searched exactly like 'Location' (same other settings, the same maximum results per entry) and returns the same records, charged the same per record, as a run of its own. Leave empty to use the single field.

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

Check-in date in YYYY-MM-DD format. Leave empty for flexible dates.

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

Check-out date in YYYY-MM-DD format. Leave empty for flexible dates.

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

Number of adult guests.

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

Minimum nightly price in USD. Leave empty for no minimum.

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

Maximum nightly price in USD. Leave empty for no maximum.

## `maxResults` (type: `integer`):

Maximum number of listings to return (1-100).

## Actor input object example

```json
{
  "location": "New York, NY",
  "adults": 2,
  "maxResults": 20
}
```

# Actor output Schema

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

Default dataset of Airbnb Scraper — Listings, Prices & Reviews API records (24 fields per row: id, name, location, latitude, longitude, room_type, person_capacity, beds, bedrooms, bathrooms, price_per_night, currency…).

# 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": "New York, NY"
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/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": "New York, NY" }

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/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": "New York, NY"
}' |
apify call nexgendata/airbnb-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgendata/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/1JGoSAHnLdQ1hApOV/builds/waQx8NL00OG9dSXOu/openapi.json