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

Scrape Airbnb listings by location and dates: price, rating, review count, bedrooms, beds, baths, coordinates, photos and badges. No login.

- **URL**: https://apify.com/hichemdev/airbnb-scraper.md
- **Developed by:** [Hichem Ben Moussa](https://apify.com/hichemdev) (community)
- **Categories:** Travel, E-commerce, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 listings

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/platform/actors/running/actors-in-store#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

Scrape **Airbnb listings** by location and dates — **price, rating, review count, bedrooms/beds/baths, coordinates, photos and host badges**. No login, no API key.

Completes a full travel dataset alongside the **Booking.com** and **TripAdvisor** scrapers.

### What you can do with it

- 🏠 **Short-term rental market research** — pricing and supply by city
- 💰 **Revenue / rate benchmarking** for hosts and property managers
- 📊 **Investment analysis** — nightly rates, ratings and occupancy signals
- 🗺️ **Map data** — every listing includes latitude/longitude

### Input

| Field | Type | Description |
|-------|------|-------------|
| `location` | string | Where to search, e.g. `Austin, TX`, `Paris, France`, `Bali`. |
| `checkIn` / `checkOut` | string | `YYYY-MM-DD`. Optional — omit for a dateless search. |
| `adults` / `children` / `infants` / `pets` | integer | Guest configuration. |
| `priceMin` / `priceMax` | integer | Price filters. |
| `currency` | string | `USD`, `EUR`, `GBP`… |
| `startUrls` | array | Airbnb search URLs with your own filters. Overrides location. |
| `maxListings` | integer | Maximum listings to scrape. |
| `proxyConfiguration` | object | **Residential recommended** — Airbnb rejects datacenter IPs. |

#### Example

```json
{ "location": "Austin, TX", "checkIn": "2026-08-18", "checkOut": "2026-08-23", "adults": 2, "maxListings": 100 }
```

### Output

```json
{
  "id": "28254684",
  "name": "The Iconic Bloomhouse | Romantic Austin Escape",
  "propertyType": "Home in Austin",
  "price": 2679,
  "priceText": "$2,679",
  "originalPriceText": "$3,801",
  "priceQualifier": "for 5 nights",
  "currency": "USD",
  "rating": 4.95,
  "reviewsCount": 272,
  "roomInfo": ["1 bedroom", "2 beds", "1 bath"],
  "badges": ["SYSTEM_GOLDEN_TROPHY"],
  "latitude": 30.3159,
  "longitude": -97.8036,
  "image": "https://a0.muscache.com/im/pictures/....jpeg",
  "url": "https://www.airbnb.com/rooms/28254684"
}
```

Export to JSON, CSV, Excel, or pull live via the Apify API.

### Notes

- Reads Airbnb's own embedded search data, so results match what you see on the site.
- **Use a residential proxy** — Airbnb early-terminates connections from datacenter IPs. The actor rotates IPs and retries automatically.
- Airbnb returns ~18 listings per page; the actor paginates automatically up to `maxListings`.
- Prices reflect the **total for the selected dates** (see `priceQualifier`), matching Airbnb's display.

# Actor input Schema

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

Where to search, e.g. "Austin, TX", "Paris, France", "Bali".

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

Check-in date in YYYY-MM-DD format. Leave empty for a dateless search.

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

Check-out date in YYYY-MM-DD format.

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

Number of adult guests.

## `children` (type: `integer`):

Number of children.

## `infants` (type: `integer`):

Number of infants.

## `pets` (type: `integer`):

Number of pets.

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

Minimum price filter.

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

Maximum price filter.

## `currency` (type: `string`):

Currency code for prices, e.g. USD, EUR, GBP.

## `startUrls` (type: `array`):

Airbnb search URLs with your own filters applied. Overrides the location above.

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

Maximum number of listings to scrape.

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

Optional proxy. Residential is recommended for large runs.

## Actor input object example

```json
{
  "location": "Austin, TX",
  "adults": 1,
  "children": 0,
  "infants": 0,
  "pets": 0,
  "currency": "USD",
  "startUrls": [],
  "maxListings": 18,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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",
    "checkIn": "",
    "checkOut": "",
    "currency": "USD",
    "startUrls": [],
    "maxListings": 18
};

// Run the Actor and wait for it to finish
const run = await client.actor("hichemdev/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",
    "checkIn": "",
    "checkOut": "",
    "currency": "USD",
    "startUrls": [],
    "maxListings": 18,
}

# Run the Actor and wait for it to finish
run = client.actor("hichemdev/airbnb-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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",
  "checkIn": "",
  "checkOut": "",
  "currency": "USD",
  "startUrls": [],
  "maxListings": 18
}' |
apify call hichemdev/airbnb-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=hichemdev/airbnb-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/1f7iDlVu9cvbonrqa/builds/mExIYf6RQhNWR6T2S/openapi.json