# Airbnb Search Scraper - Listings, Prices & Ratings (`aolmo/airbnb-listings`) Actor

Airbnb search results for any location and dates as clean rows: name, type, price in your currency, rating, reviews, bedrooms, beds, baths, coordinates, badges and photos. Filters for price, room type and bedrooms. No login, no browser. $0.0005 per listing; new listings and price changes flagged.

- **URL**: https://apify.com/aolmo/airbnb-listings.md
- **Developed by:** [Antonio del Olmo Tena](https://apify.com/aolmo) (community)
- **Categories:** Travel, Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 listing scrapeds

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

Get Airbnb search results for any location and dates as clean, structured rows. Type a location, pick your dates and guests, or paste search URLs from your browser, and the Actor returns one row per listing with name, property type, price in the currency you choose, rating and number of reviews, bedrooms, beds and baths, coordinates, badges such as Guest favorite or Superhost, and photos. Filter by price, room type and bedrooms. Schedule it and every run flags new listings and price changes.

No login, no browser, no proxies on your side: the Actor reads the same data Airbnb embeds in its search page, so it is fast and cheap. You pay $0.0005 per listing returned.

### What you get

One Dataset row per listing:

- `name`, `title` (for example `Rental unit in Madrid`), `propertyType`, `city`, `url`, `id`.
- `priceText`, `price`, `priceQualifier` (`total` for the stay when dates are given, otherwise what Airbnb shows), `pricePerNight`, `originalPrice` when discounted, `currency`.
- `rating`, `reviewsCount`, `badges`, `isGuestFavorite`, `isSuperhost`.
- `bedrooms` (0 for studios), `beds`, `baths`.
- `latitude`, `longitude`, `photo`, `photos`.
- `search`, `location`, `checkin`, `checkout`, `nights`: where the row comes from.
- `isNew` and `previousPrice`: what changed since the previous run of that search.

A search with no results returns no rows and is not charged. A search that cannot be read gives a single row with an `error` field, also free.

### How to use it

1. Open the **Input** tab.
2. In **Locations** type one per line, as on Airbnb: `Madrid, Spain`, `Lisbon`, `Brooklyn, New York`. Or paste **Search URLs** copied from your browser; their own filters apply.
3. Set **Check-in**, **Check-out** and **Adults** to get the total price for the stay. Without dates Airbnb returns indicative prices.
4. Pick the **Currency** and, optionally, min and max price per night, **Room type** and **Min bedrooms**.
5. Set **Max listings per search** (default 50) and click **Start**. Read the rows in **Output** or export them as JSON, CSV or Excel.
6. To monitor a market, schedule the Actor (daily or hourly). New listings come with `isNew: true` and repriced ones with `previousPrice`; connect a webhook or an email integration to be notified.

### Input

```json
{
  "locations": ["Madrid, Spain"],
  "checkin": "2026-11-10",
  "checkout": "2026-11-12",
  "adults": 2,
  "currency": "EUR",
  "priceMax": 150,
  "roomType": "entire",
  "maxListings": 50
}
```

| Field          | Description |
|----------------|-------------|
| `locations`    | Places to search, one per line. Up to 50 searches per run (locations plus URLs). |
| `searchUrls`   | Airbnb search URLs with their own filters. |
| `checkin`, `checkout` | `YYYY-MM-DD`. Both or neither. |
| `adults`       | Guests, default 2. |
| `currency`     | Three-letter code, default `USD`. |
| `priceMin`, `priceMax` | Per night, in the chosen currency. |
| `roomType`     | `entire`, `private`, `shared` or `hotel`. |
| `minBedrooms`  | Minimum bedrooms. |
| `maxListings`  | Per search, 1 to 500. Default 50. Airbnb serves about 270 per search. |

### Output example

```json
{
  "search": "https://www.airbnb.com/s/Madrid--Spain/homes?checkin=2026-11-10&checkout=2026-11-12&adults=2&currency=EUR",
  "location": "Madrid, Spain",
  "checkin": "2026-11-10",
  "checkout": "2026-11-12",
  "nights": 2,
  "currency": "EUR",
  "id": "2364463",
  "url": "https://www.airbnb.com/rooms/2364463?check_in=2026-11-10&check_out=2026-11-12",
  "name": "Exclusive Apartment in Lavapies",
  "title": "Condo in Madrid",
  "propertyType": "Condo",
  "city": "Madrid",
  "rating": 4.6,
  "reviewsCount": 113,
  "priceText": "€236",
  "price": 236,
  "priceQualifier": "total",
  "pricePerNight": 118,
  "originalPrice": null,
  "bedrooms": 1,
  "beds": 1,
  "baths": 1,
  "latitude": 40.4226,
  "longitude": -3.7073,
  "badges": ["Guest favorite"],
  "isGuestFavorite": true,
  "isSuperhost": false,
  "photo": "https://a0.muscache.com/im/pictures/...jpeg",
  "photos": ["https://a0.muscache.com/im/pictures/...jpeg"],
  "isNew": false,
  "previousPrice": null,
  "timestamp": "2026-10-04T18:30:00.000Z"
}
```

### Pricing

Pay per event, no subscription:

- **Listing scraped**: $0.0005 per listing row. 1,000 listings cost $0.50.
- **Listing changed**: $0.002 per listing flagged as new or repriced in a scheduled run. Runs with no changes only pay for the rows.

Searches that cannot be read or return nothing are free. Compare with typical Airbnb scrapers at $1 or more per 1,000 listings.

### Use it as an API

Run it from your code with the Apify API or client libraries:

```bash
curl -X POST "https://api.apify.com/v2/acts/aolmo~airbnb-listings/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"locations": ["Lisbon, Portugal"], "checkin": "2026-12-05", "checkout": "2026-12-08", "adults": 2, "currency": "EUR"}'
```

The response is the list of listing rows. You can also call it from AI agents through the Apify MCP server.

### FAQ

**Is the price the total or per night?** With dates it is the total for the stay (`priceQualifier: total`) and `pricePerNight` divides it by the nights. Without dates Airbnb shows an indicative price, usually per night.

**Does it include the listing description, amenities or host details?** Not in this version: it returns what the search results contain, which keeps it fast and cheap. Open `url` for the full page.

**How many listings can one search return?** Airbnb paginates up to about 270 results per search. Narrow by dates, price or room type, or split a city into neighbourhoods, to cover more.

**Which currencies work?** Any Airbnb supports: USD, EUR, GBP, CAD, AUD, JPY, MXN, BRL...

**Where is the data stored between runs?** In a Key-Value Store of your account named `micro-saas-state-airbnb-listings`, one key per search. Delete it to start fresh.

# Actor input Schema

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

One per line: city, region or address as you would type it on Airbnb, e.g. Madrid, Spain.

## `searchUrls` (type: `array`):

Optional. Airbnb search URLs copied from your browser (https://www.airbnb.com/s/Madrid--Spain/homes?checkin=...). Their own filters are used.

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

YYYY-MM-DD. With dates, prices are the total for the stay; without dates Airbnb shows indicative prices.

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

YYYY-MM-DD, after check-in.

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

Number of adult guests.

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

Three-letter code for the prices: USD, EUR, GBP...

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

Optional, in the chosen currency.

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

Optional, in the chosen currency.

## `roomType` (type: `string`):

Empty for all.

## `minBedrooms` (type: `integer`):

Optional.

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

Airbnb serves up to about 270 results per search. Also caps what you pay per search.

## `product` (type: `string`):

Internal. Leave as is.

## Actor input object example

```json
{
  "locations": [
    "Madrid, Spain"
  ],
  "adults": 2,
  "currency": "USD",
  "maxListings": 50,
  "product": "airbnb-listings"
}
```

# Actor output Schema

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

Dataset items: url, changed, events, data, timestamp and error (when the target failed).

# 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": [
        "Madrid, Spain"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("aolmo/airbnb-listings").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": ["Madrid, Spain"] }

# Run the Actor and wait for it to finish
run = client.actor("aolmo/airbnb-listings").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": [
    "Madrid, Spain"
  ]
}' |
apify call aolmo/airbnb-listings --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,aolmo/airbnb-listings"
        }
    }
}
```

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/dchXegyIL4L6x5a7w/builds/WyM7uhEUGg2jOsW3X/openapi.json