# AirComp AI - Airbnb Occupancy & Revenue Estimator (`automation_studio/airbnb-occupancy-revenue-estimator`) Actor

AirDNA & Mashvisor alternative. Calculate real Airbnb occupancy rates, average daily rates (ADR), 12-month seasonality curves, and projected annual gross revenues from forward calendar comps.

- **URL**: https://apify.com/automation\_studio/airbnb-occupancy-revenue-estimator.md
- **Developed by:** [Automation Studio](https://apify.com/automation_studio) (community)
- **Categories:** Real estate, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 listing financial comp & seasonality reports

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?

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

## 🏡 AirComp AI - Airbnb Real Occupancy & Revenue Estimator (AirDNA Alternative)

AirComp AI is an underwriting and market analysis tool for short-term rental (STR) real estate investors, property managers, co-hosts, and brokers. Instead of paying **$50–$200/month** for subscriptions like AirDNA or Mashvisor, AirComp AI models the true financial performance of any Airbnb listing or neighborhood on-demand for pennies.

***

### 🎯 What AirComp AI Delivers

- 📊 **Estimated Occupancy Rate (%)**: Calculated by parsing 365-day forward availability and applying consecutive-block heuristics to separate true bookings from host closures.
- 💵 **Average Daily Rate (ADR)**: Dynamic pricing breakdown across weekdays and weekend surges.
- 📈 **12-Month Seasonality Curve**: Month-by-month table (Jan–Dec) showing booked nights, operable nights, and projected monthly gross revenue.
- 💰 **Projected Annual Gross Revenue**: Underwriting model combining nightly revenue pace with guest turnover cleaning fee impact.
- 🏨 **RevPAR (Revenue Per Available Room)**: The hospitality gold standard for property comparison.
- 📍 **Dual Comp Modes**:
  1. **Direct Listing Comp**: Deep-dive 1 to 50 specific property URLs.
  2. **Market / Neighborhood Search**: Enter a city or neighborhood (e.g. *Austin, TX*, *Scottsdale, AZ*), and AirComp AI samples the top listings to construct an aggregate market comp set.

***

### 📐 How the Financial Model Works

1. **Calendar Availability Interception**: When visiting a listing, the Actor extracts day-level availability, minimum night stay rules, and dynamic price quotes.
2. **Booked vs. Owner-Blocked Heuristic**: Guest reservations typically span 1–7 days. Contiguous blocks longer than 30 days with static rates are flagged as *Owner Blocked / Inoperable* rather than inflating occupancy to 100%.
3. **Pace & Seasonality Projections**:
   $$\text{Occupancy Rate (%)} = \frac{\text{Estimated Booked Nights}}{\text{Operable Calendar Nights}} \times 100$$
   $$\text{Projected Monthly Revenue} = \text{Booked Revenue} + ((\text{Operable Nights} - \text{Booked Nights}) \times \text{Occupancy Rate} \times \text{ADR})$$
   $$\text{Annual Gross Revenue} = \sum \text{Monthly Revenues} + (\text{Annual Turns} \times \text{Cleaning Fee})$$

***

### 📥 Input Options

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `location_query` | String | `"Austin, TX"` | City, neighborhood, or market to analyze |
| `start_urls` | StringList | `[]` | Direct URLs of specific Airbnb listings |
| `max_listings` | Integer | `3` | Number of properties to analyze (1–50) |
| `currency` | Select | `"USD"` | Desired currency for ADR and revenue |
| `block_threshold_days` | Integer | `30` | Consecutive days threshold for owner-block detection |
| `proxyConfiguration` | Object | `RESIDENTIAL` | Apify Residential Proxies for unblocked data |

***

### 📤 Sample Output (JSON)

```json
{
  "listing_id": "592265060291319011",
  "title": "Calming Space | Trendy East ATX | Walk to Coffee",
  "room_type": "Entire home",
  "location": "Austin, Texas, United States",
  "bedrooms": 2,
  "bathrooms": 2.0,
  "financial_summary": {
    "estimated_occupancy_rate_pct": 68.5,
    "conservative_occupancy_rate_pct": 64.2,
    "average_daily_rate_adr": 215.50,
    "weekday_adr": 195.00,
    "weekend_adr": 265.00,
    "weekend_surge_premium_pct": 35.9,
    "revpar": 147.62,
    "projected_annual_gross_revenue": 58450.00,
    "projected_annual_nightly_revenue": 53890.00,
    "estimated_cleaning_revenue": 4560.00,
    "estimated_annual_guest_turns": 38,
    "cleaning_fee_per_stay": 120.00
  },
  "monthly_seasonality": [
    {
      "month": "2026-10",
      "total_days": 31,
      "operable_days": 31,
      "booked_nights": 22,
      "available_nights": 9,
      "occupancy_rate_pct": 71.0,
      "adr": 220.00,
      "projected_gross_revenue": 5120.00
    }
  ]
}
```

# Actor input Schema

## `location_query` (type: `string`):

City, neighborhood, or market to analyze (e.g. 'Austin, TX', 'Scottsdale, AZ', 'Miami Beach, FL').

## `start_urls` (type: `array`):

Direct URLs of specific Airbnb listings to underwrite (e.g. 'https://www.airbnb.com/rooms/592265060291319011'). If left empty, the Actor will automatically analyze top listings from your Location Search.

## `max_listings` (type: `integer`):

Number of comparable properties to evaluate in this comp run.

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

Currency code for reporting revenue and ADR.

## `block_threshold_days` (type: `integer`):

Contiguous unavailable days required to flag a period as Owner Blocked / Inoperable rather than a guest booking (default 30 days).

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

Airbnb requires Apify Residential Proxies to access calendar and pricing data without bot blocks.

## Actor input object example

```json
{
  "location_query": "Austin, TX",
  "max_listings": 3,
  "currency": "USD",
  "block_threshold_days": 30,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing detailed occupancy rates, ADR, 12-month seasonality curves, and projected annual gross revenues

# 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_query": "Austin, TX",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("automation_studio/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 = {
    "location_query": "Austin, TX",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("automation_studio/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 '{
  "location_query": "Austin, TX",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call automation_studio/airbnb-occupancy-revenue-estimator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,automation_studio/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/6rX2QDRHfmCYljAQe/builds/JpyY85wCuNQ3EnKrL/openapi.json