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

Extract Airbnb listings — prices, reviews, host data, amenities & availability. Build short-term rental analytics, pricing optimization & travel market intelligence. Pay per listing.

- **URL**: https://apify.com/nexgendata/airbnb-scraper.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Real estate, Travel
- **Stats:** 30 total users, 4 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?

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

Scrape Airbnb listings — prices, availability, ratings and host data for travel market research.

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

### ⏰ 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`):

Destination city, neighborhood, or region to search (e.g. 'Paris, France', 'Tokyo, Japan', 'New York, NY').

## `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
}
```

# 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/zqgZpYcEb6hfCj1lA/openapi.json