# Airbnb Occupancy & Revenue Estimator - AirDNA Alternative (`headply/airbnb-occupancy-revenue-estimator`) Actor

Estimate Airbnb occupancy rate, ADR, RevPAR and revenue for any market from the live availability calendar. A pay-per-use AirDNA alternative for short-term rental investors. No login. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/headply/airbnb-occupancy-revenue-estimator.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 $2.50 / 1,000 airbnb occupancy & revenues

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 Occupancy & Revenue Estimator

Estimate **occupancy, ADR, RevPAR and revenue** for any Airbnb market, straight from the live availability calendar. Give it a city and it returns every listing with its occupancy rate, average daily rate and estimated revenue for the next 30, 90 and 365 days. This is a practical **AirDNA alternative** for short-term rental investors, on a pay-per-use basis with no monthly subscription.

Occupancy is on by default, so a single run gives you a market's revenue picture. Re-scan the same market on a schedule and the estimate sharpens into confirmed booked nights.

### What you get for each listing

| Group | Fields |
| --- | --- |
| Performance | occupancy rate, ADR, RevPAR, estimated revenue for 30, 90 and 365 days |
| Confirmed | booked nights and host-blocked nights once calendar history builds |
| Availability | day-by-day available status and minimum nights, up to 12 months |
| Listing | name, property type, bedrooms, price, rating, reviews, coordinates, host |

### How occupancy and revenue are estimated

A calendar shows a night as unavailable, but not whether it was booked or blocked by the host. On the first run the Actor counts every unavailable night in the forward window as demand, which gives an immediate occupancy rate and revenue estimate. It also 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. That is how the estimate moves from a first-scan number to confirmed occupancy.

Run the same market weekly to build history. The more history a market has, the sharper the revenue numbers become.

### How to estimate a market

1. Add one or more locations under **Locations to search**, for example `Nashville, Tennessee`.
2. Set **Max listings per location**.
3. Leave **Estimate occupancy & revenue** on.
4. Click **Start** and export to JSON, CSV or Excel. Use the built-in Occupancy view for a ready-made table.

### How much does it cost?

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

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

A 1,000-listing market with full occupancy and revenue costs about **$10**, a fraction of a monthly dashboard subscription. Tier discounts lower this for higher-volume plans, and the Apify free plan includes monthly credits to test it.

### Input example

```json
{
  "search": ["Nashville, Tennessee"],
  "maxListings": 300,
  "includeOccupancy": true
}
```

### Related scrapers

- **Airbnb Scraper** for full listing data on Airbnb.
- **Vrbo Scraper** for the same on Vrbo.
- **Airbnb & Vrbo Scraper** to pull both platforms in one run.

### Frequently asked questions

#### How accurate is the occupancy estimate?

The first run uses the standard single-scan method, where unavailable nights count as demand. With two or more scans of a market the Actor separates real bookings from host-blocked nights, which is the most accurate way to read occupancy from a public calendar.

#### Is this an AirDNA alternative?

It gives you the same core signals, occupancy, ADR, RevPAR and revenue, for a market, on a pay-per-use basis instead of a monthly subscription. You keep the raw data and can feed it into your own model.

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

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

# Changelog

This Actor's version history is a separate document: https://apify.com/headply/airbnb-occupancy-revenue-estimator/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": true,
  "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,
    "includeOccupancy": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("headply/airbnb-occupancy-revenue-estimator").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,
    "includeOccupancy": True,
}

# Run the Actor and wait for it to finish
run = client.actor("headply/airbnb-occupancy-revenue-estimator").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,
  "includeOccupancy": true
}' |
apify call headply/airbnb-occupancy-revenue-estimator --silent --output-dataset

```

## MCP server setup

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

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/V7XcVcezluC5EmFHc/builds/ZimbZ7g1XfkPbuJTp/openapi.json