# Airbnb Listing & Price Scraper (`monkey.d.scraping/airbnb-calendar-price-scraper`) Actor

Scrape public Airbnb listings by destination, search URL, or direct listing URL and extract structured listing details and stay prices.

- **URL**: https://apify.com/monkey.d.scraping/airbnb-calendar-price-scraper.md
- **Developed by:** [Monkey D. Scraping](https://apify.com/monkey.d.scraping) (community)
- **Categories:** Travel, Real estate
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 listing results

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/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 & Property Details

Extract public Airbnb listings from cities, regions, keywords, search URLs, or direct listing URLs. Get structured property details, stay prices, ratings, reviews, amenities, photos, host information, house rules, coordinates, and more in one dataset.

This is an on-demand Airbnb listing scraper for market research, short-term-rental analysis, pricing research, real-estate analysis, travel products, and data workflows. No Airbnb account or API key is required.

### Why use this Airbnb scraper?

- **Search by location or keyword:** scrape listings for a city, region, neighborhood, or public Airbnb search phrase.
- **Direct URL mode:** paste Airbnb search URLs or individual `/rooms/` URLs when you already have a shortlist.
- **Contextual stay prices:** provide check-in, check-out, guests, and currency to collect the price shown for that stay.
- **Rich listing details:** extract property type, room type, capacity, bedrooms, beds, bathrooms, description, address, and coordinates when publicly available.
- **Ratings and trust signals:** collect the overall rating, review count, badges, and host details including Superhost or verification signals when exposed.
- **Amenities and photos:** return structured amenities, image URLs, thumbnails, and photo counts.
- **One competitive workflow:** the Actor discovers listings and enriches each result in the same run; there is no separate light/details mode to configure.
- **Automation-ready output:** export JSON, CSV, Excel, XML, or connect the dataset to an API, webhook, n8n, Make, or your own data warehouse.

### What data does it extract?

Each dataset item represents an observed Airbnb listing or a partial/error record.

| Field | Description |
| --- | --- |
| `listingId`, `listingUrl` | Listing identifier and public Airbnb URL |
| `title`, `description` | Listing title and public description |
| `propertyType`, `roomType` | Property and accommodation type |
| `location`, `address`, `coordinates` | Public location data and latitude/longitude when available |
| `personCapacity`, `bedrooms`, `beds`, `bathrooms` | Capacity and room configuration |
| `price`, `totalPrice`, `currency` | Observed stay price and structured price details |
| `checkIn`, `checkOut`, `guests` | Search context used for the price quote |
| `rating`, `reviewCount` | Overall guest rating and review count |
| `badges` | Public listing quality badges |
| `amenities` | Structured amenity groups and availability |
| `images`, `photoCount` | Public photo URLs and image count |
| `host` | Public host profile signals and statistics when available |
| `houseRules` | Public house rules exposed on the listing |
| `sourceUrl`, `observedAt`, `status`, `error` | Traceability and result status |

Fields that Airbnb does not expose for a listing remain `null` or empty. Partial records are retained so a run remains useful even when individual pages provide different levels of detail.

### Input examples

#### Search listings by destination

```json
{
  "locationQueries": ["Rome, Italy", "Florence, Italy"],
  "checkIn": "2026-08-21",
  "checkOut": "2026-08-23",
  "adults": 2,
  "children": 0,
  "currency": "EUR",
  "maxListings": 100
}
```

#### Scrape an Airbnb search URL

```json
{
  "startUrls": [
    { "url": "https://www.airbnb.com/s/Rome/homes" }
  ],
  "maxListings": 50
}
```

#### Enrich direct listing URLs

```json
{
  "listingUrls": [
    { "url": "https://www.airbnb.com/rooms/12345678" }
  ],
  "checkIn": "2026-09-10",
  "checkOut": "2026-09-13",
  "adults": 2,
  "currency": "EUR"
}
```

`search` is also accepted as a compatible alias for `locationQueries`. Use only the input source you need: `locationQueries`/`search`, `startUrls`, or `listingUrls`.

### Common use cases

#### Short-term-rental market research

Compare listing supply, prices, ratings, amenities, and room configurations across neighborhoods or destinations.

#### Dynamic pricing and revenue analysis

Collect comparable listings for defined dates and guest counts to support nightly-rate benchmarking and pricing models.

#### Airbnb competitor analysis

Build structured datasets of nearby properties, host signals, reviews, photos, amenities, and public positioning.

#### Real-estate and investment research

Analyze accommodation density, property types, capacity, ratings, and observed prices before evaluating a market.

#### Travel, aggregation, and data products

Feed fresh public listing data into dashboards, search tools, internal databases, lead qualification workflows, or BI pipelines.

### Pricing

This Actor uses pay-per-event pricing. Results are charged when listing records are written to the dataset. Check the Pricing tab for the current rate and any platform or proxy costs.

### Proxy and access notes

Direct access is used by default to keep runs competitive. For difficult or high-volume runs, you can enable Apify Proxy and optionally select proxy groups or a country. Proxy usage may add platform costs.

Airbnb can vary content, prices, availability, and result counts by location, dates, guests, currency, and session. Prices are observations from the current run, not guaranteed future booking prices. The Actor does not use login credentials, access private data, or make reservations.

### Calendar availability

This Actor returns contextual stay prices for the dates supplied in the input. Day-by-day calendar availability is not included in the current public version.

### FAQ

**Do I need an Airbnb account or API key?**\
No. The Actor is designed to collect publicly visible listing information without Airbnb credentials.

**Can I scrape a single Airbnb listing?**\
Yes. Use `listingUrls` with one or more public `/rooms/` URLs.

**Can I scrape an entire city?**\
Yes. Use `locationQueries` or a public Airbnb search URL and set `maxListings`. Coverage can vary by destination and by what Airbnb exposes during the run.

**Why should I provide dates?**\
Dates allow the Actor to request a contextual price for a defined stay. Without dates, Airbnb may expose only an indicative or starting price.

**Are calendar dates included?**\
No. The current Actor focuses on listing discovery, property details, and contextual stay pricing rather than a day-by-day availability calendar.

**What happens when a field is missing?**\
The Actor keeps the record and returns `null` or an empty array for data not publicly exposed on that page.

**Can I export the results?**\
Yes. Apify datasets can be downloaded as JSON, CSV, Excel, XML, or consumed through the API and integrations.

### Responsible use

Use the Actor only for lawful purposes and respect Airbnb's terms, applicable regulations, robots directives, privacy requirements, and reasonable request rates. The Actor is intended for publicly available information and does not bypass authentication or access private areas.

# Actor input Schema

## `search` (type: `array`):

Search Airbnb by city, region, neighborhood, or keyword. Compatible alias for locationQueries.

## `locationQueries` (type: `array`):

Cities, regions, neighborhoods, or public Airbnb search terms to discover listings.

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

Public Airbnb search URLs with optional filters such as dates, property type, guests, or amenities.

## `listingUrls` (type: `array`):

Public Airbnb /rooms/ URLs to enrich with property details, ratings, amenities, host data, photos, and contextual prices.

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

Arrival date in YYYY-MM-DD format. Use dates to request a contextual Airbnb stay price.

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

Departure date in YYYY-MM-DD format for the contextual stay price.

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

Number of adult guests used for Airbnb pricing and search results.

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

Number of child guests used for Airbnb pricing and search results.

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

ISO currency code requested from Airbnb when supported.

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

Maximum number of listing records to write to the dataset.

## `useApifyProxy` (type: `boolean`):

Optional Apify Proxy for difficult or high-volume runs. Direct access is used by default to keep the unified scraper competitive; enable proxy manually if Airbnb blocks the request.

## `proxyGroups` (type: `array`):

Optional Apify Proxy groups, for example RESIDENTIAL. Residential proxies can improve Airbnb search access and cost more.

## `proxyCountry` (type: `string`):

Optional two-letter country code for the proxy exit location.

## Actor input object example

```json
{
  "startUrls": [],
  "listingUrls": [],
  "checkIn": "2026-08-21",
  "checkOut": "2026-08-23",
  "adults": 2,
  "children": 0,
  "currency": "EUR",
  "maxListings": 100
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("monkey.d.scraping/airbnb-calendar-price-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("monkey.d.scraping/airbnb-calendar-price-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 '{}' |
apify call monkey.d.scraping/airbnb-calendar-price-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,monkey.d.scraping/airbnb-calendar-price-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/x521gIcxBPb1OQYTd/builds/RoO9ImcEY4e5YFfG4/openapi.json