# Airbnb Scraper - Listings, Calendar, Occupancy & Revenue (`headply/airbnb-scraper`) Actor

Scrape Airbnb listings by location or URL. Get prices, amenities, host details, reviews and day-by-day availability, plus occupancy rate, ADR, RevPAR and revenue estimates. No login. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/headply/airbnb-scraper.md
- **Developed by:** [Mayowa Ogedengbe](https://apify.com/headply) (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 $2.00 / 1,000 airbnb listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

Scrape **Airbnb** listings by location or by URL, and get the field most Airbnb scrapers leave out: **occupancy and revenue**. Point it at a city and it returns every listing with prices, amenities, host details, reviews, a day-by-day availability calendar, and estimated occupancy rate, ADR, RevPAR and revenue for the next 30, 90 and 365 days. No login, no cookies, no Airbnb API key.

For large cities the Actor splits the map into smaller tiles automatically, so it moves past the few-hundred-result cap that a single Airbnb search returns and captures the whole market.

### What data can you extract from Airbnb?

| Group | Fields |
| --- | --- |
| Listing | id, url, name, property type, room and bed count, coordinates, thumbnail, photos |
| Pricing | nightly price, total price, original price, currency |
| Reputation | rating, review count, guest-favorite and Superhost flags, category ratings |
| Host | host name, Superhost status, response rate, response time, years hosting |
| Property | amenities, house rules, description, person capacity |
| Availability | per-day available status, minimum nights, up to 12 months |
| Occupancy | occupancy rate, ADR, RevPAR, estimated revenue for 30, 90 and 365 days |

### How to scrape Airbnb data

1. Add one or more locations under **Locations to search**, for example `Austin, Texas`.
2. Set **Max listings per location**. Start small to preview the output.
3. Turn on **Scrape full listing details** for amenities, host and description.
4. Turn on **Estimate occupancy & revenue** for ADR, occupancy and revenue.
5. Click **Start** and export to JSON, CSV or Excel.

To scrape specific properties, paste Airbnb room URLs (`airbnb.com/rooms/...`) into **Listing or search URLs**.

### How occupancy and revenue are estimated

A calendar shows a night as unavailable, but not whether it was booked or blocked by the host. This Actor reports occupancy rate and revenue on the first run by counting unavailable nights as demand, and it stores a calendar snapshot for every listing. On repeat scans it compares snapshots: a night that was open and later closed is a real booking, while a night that was closed from the start is a host block. Re-scan a market weekly to turn the first estimate into confirmed booked nights.

### How much does it cost to scrape Airbnb?

Pay-per-event pricing, so you pay for results and nothing else.

| Event | Price |
| --- | --- |
| Airbnb listing | $0.004 |
| Airbnb occupancy & revenue | $0.006 |

Examples: 1,000 Airbnb listings cost about **$4**, and 1,000 listings with occupancy and revenue cost about **$10**. Tier discounts lower this for higher-volume plans. The Apify free plan includes monthly credits to test the output at no cost.

### Input example

```json
{
  "search": ["Austin, Texas"],
  "maxListings": 200,
  "includeDetails": true,
  "includeOccupancy": true
}
```

### Related scrapers

- **Vrbo Scraper** for the same data on Vrbo.
- **Airbnb & Vrbo Scraper** to pull both platforms in one run and compare them.
- **Airbnb Occupancy & Revenue Estimator** for a market-level revenue view.

### Frequently asked questions

#### Is it legal to scrape Airbnb?

The Actor reads public listing pages that anyone can view without logging in and collects no private data. You are responsible for using the output in line with Airbnb's terms and the laws that apply to you.

#### Do I need an Airbnb API key?

No. There is no login, cookie or API key. You only need an Apify account.

#### How many listings can I get per city?

As many as Airbnb lists. The Actor subdivides the map automatically so it can move past the few-hundred-result cap of a single search. Set **Max listings per location** to control the volume.

#### What formats can I export?

JSON, CSV, Excel, XML and RSS, plus the Apify API and integrations such as Google Sheets, Make and Zapier.

# Changelog

This Actor's version history is a separate document: https://apify.com/headply/airbnb-scraper/changelog.md

# Actor input Schema

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

One market per line, for example <b>Austin, Texas</b> or <b>Lisbon, Portugal</b>. Each location is expanded into full map coverage. Leave empty if you only pass listing URLs below.

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

Direct Airbnb room URLs (airbnb.com/rooms/...) or Vrbo listing URLs (vrbo.com/1234567). Use these when you already know the exact properties you want.

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

Upper bound on unique listings returned for each search location. Airbnb caps a single query at a few hundred results, so higher numbers trigger automatic map-tile subdivision for full coverage.

## `includeDetails` (type: `boolean`):

Open each listing page to add amenities, the full description, host profile, house rules, coordinates and every photo. Turn off for a faster, cheaper scan that keeps only the search-card fields.

## `includeCalendar` (type: `boolean`):

Add a day-by-day availability calendar for each listing (up to 12 months for Airbnb, up to ~24 months for Vrbo).

## `includeOccupancy` (type: `boolean`):

Derive booked nights, occupancy rate, ADR (average daily rate), RevPAR and estimated revenue for the next 30, 90 and 365 days. Accuracy improves every time you re-scan the same market, because the Actor stores calendar history. Automatically turns the calendar on.

## `calendarMonths` (type: `integer`):

How many months of Airbnb availability to pull. Vrbo always returns its full published horizon.

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

Optional. Sets the stay used for pricing. Vrbo search requires a stay, so if you leave this empty a date about a month out is used automatically. Format: YYYY-MM-DD.

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

Optional. Format: YYYY-MM-DD. Must be after the check-in date.

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

Number of adults used when requesting prices.

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

Currency for Airbnb prices. Vrbo prices are returned in USD.

## `subdivideMap` (type: `boolean`):

When a search area returns more listings than Airbnb will page through, split it into smaller map tiles until every listing is captured. Turn off to keep only the first few hundred results per location.

## `maxTilesPerSearch` (type: `integer`):

Safety cap on how many map tiles a single location may expand into. Raise it for dense cities where you want every last listing.

## `concurrency` (type: `integer`):

How many listing pages to fetch in parallel. Higher is faster but heavier on proxies.

## Actor input object example

```json
{
  "search": [
    "Austin, Texas"
  ],
  "maxListings": 5,
  "includeDetails": true,
  "includeCalendar": false,
  "includeOccupancy": false,
  "calendarMonths": 12,
  "adults": 2,
  "currency": "USD",
  "subdivideMap": true,
  "maxTilesPerSearch": 40,
  "concurrency": 6
}
```

# Actor output Schema

## `listings` (type: `string`):

All scraped Airbnb and Vrbo listings, one item per listing.

# 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 = {
    "search": [
        "Austin, Texas"
    ],
    "maxListings": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("headply/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 = {
    "search": ["Austin, Texas"],
    "maxListings": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("headply/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 '{
  "search": [
    "Austin, Texas"
  ],
  "maxListings": 5
}' |
apify call headply/airbnb-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,headply/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/IkvpF5lhpWVpauMMt/builds/gh5ErMfzg4tnyOaOw/openapi.json