# Airbnb Calendar, Occupancy & Pricing Scraper — 365-Day STR A (`spotless_studios/airbnb-calendar-scraper`) Actor

Scrape Airbnb listings with 365-day forward calendar availability, occupancy rates (30d/90d/365d), nightly rates, fee & discount breakdowns, sub-ratings, and Superhost data without a browser.

- **URL**: https://apify.com/spotless_studios/airbnb-calendar-scraper.md
- **Developed by:** [Spotless Studios](https://apify.com/spotless_studios) (community)
- **Categories:** Travel, Real estate
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 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

## Airbnb Calendar, Occupancy & Pricing Scraper — 365-Day STR Analytics

Scrape Airbnb listings with **365-day forward calendar availability**, **30/90/365-day occupancy rates**, **nightly pricing & fee/discount breakdowns**, **6 guest sub-ratings**, and **Superhost / Guest Favorite** status — **without a headless browser**.

Built for short-term rental (STR) investors, revenue managers, AirDNA/PriceLabs alternatives, property management companies, and real-estate analysts.

***

### What It Extracts

| Category | Fields |
|---|---|
| **Listing Core** | `listingId`, `url`, `title`, `subtitle`, `description`, `propertyType`, `roomType`, `personCapacity`, `bedsSummary`, `bathsSummary`, `photos` |
| **Forward Calendar & Occupancy** | `occupancy30d` (%), `occupancy90d` (%), `occupancy365d` (%), `availableDaysCount`, `blockedDaysCount`, `minNightsDefault`, `maxNightsDefault`, `calendar[]` (`date`, `available`, `availableForCheckin`, `availableForCheckout`, `minNights`, `maxNights`, `priceFormatted`) |
| **Pricing & Quote Breakdown** | `currency`, `nightlyRate`, `totalPrice`, `discountAmount`, `quotedCheckIn`, `quotedCheckOut`, `quotedNights`, `priceBreakdown[]` (`description`, `priceString`) |
| **Host & Ratings** | `hostId`, `isSuperhost`, `isGuestFavorite`, `badges[]`, `rating`, `reviewCount`, `subRatings` (`accuracy`, `checkin`, `cleanliness`, `communication`, `location`, `value`) |
| **Geo** | `location`, `latitude`, `longitude` |

***

### Example Input

```json
{
  "locations": ["Austin, TX", "Scottsdale, AZ"],
  "roomIds": ["48867583"],
  "checkIn": "2026-11-15",
  "checkOut": "2026-11-20",
  "adults": 2,
  "currency": "USD",
  "calendarMonths": 12,
  "enrichRoomDetails": true,
  "minRating": 4.5,
  "onlySuperhosts": false,
  "maxResults": 50
}
```

***

### Example Output Item

```json
{
  "listingId": "48867583",
  "url": "https://www.airbnb.com/rooms/48867583",
  "title": "Room in hotel",
  "subtitle": "Close to UT Austin + Rooftop Pool. Bar. Dining.",
  "propertyType": "Room in hotel",
  "roomType": "Private room",
  "personCapacity": 2,
  "bedsSummary": "1 bedroom · 1 bed",
  "bathsSummary": "1 private bath",
  "location": "Austin, TX, US",
  "latitude": 30.26869,
  "longitude": -97.73756,
  "rating": 4.74,
  "reviewCount": 1422,
  "subRatings": {
    "accuracy": 4.78,
    "checkin": 4.83,
    "cleanliness": 4.85,
    "communication": 4.8,
    "location": 4.74,
    "value": 4.66
  },
  "hostId": "386381014",
  "isSuperhost": false,
  "isGuestFavorite": false,
  "badges": [],
  "currency": "USD",
  "nightlyRate": 143.22,
  "totalPrice": 716.1,
  "discountAmount": null,
  "quotedCheckIn": "2026-11-15",
  "quotedCheckOut": "2026-11-20",
  "quotedNights": 5,
  "priceBreakdown": [
    { "description": "5 nights x $143.22", "priceString": "$716.10" }
  ],
  "occupancy30d": 56.7,
  "occupancy90d": 38.9,
  "occupancy365d": 24.1,
  "availableDaysCount": 277,
  "blockedDaysCount": 88,
  "minNightsDefault": 1,
  "maxNightsDefault": 365,
  "calendar": [
    {
      "date": "2026-10-25",
      "available": false,
      "availableForCheckin": false,
      "availableForCheckout": false,
      "minNights": 1,
      "maxNights": 1,
      "priceFormatted": null
    }
  ],
  "photos": [
    "https://a0.muscache.com/im/pictures/prohost-api/Hosting-48867583/original/47b7aa23-d4c3-4724-9a04-b72406bcefa0.png"
  ],
  "scrapedAt": "2026-10-25T10:20:00.000Z"
}
```

***

### Pricing (Pay-Per-Event)

- **`listing-scraped`** (`$0.004` / listing): Charged for each Airbnb listing saved to the dataset.
- **`calendar-enriched`** (`$0.002` / listing): Add-on charged when 365-day forward calendar availability and/or full room details are enriched.

***

### More from Spotless Studios

**[All actors on Apify](https://apify.com/spotless_studios)** · Support: spotless.studios.info@gmail.com

| Actor | Best for |
|-------|----------|
| [SLED Government Bids](https://apify.com/spotless_studios/sled-procurement-scraper) | Daily US gov RFP / bid alerts |
| [Webflow Experts](https://apify.com/spotless_studios/webflow-experts-scraper) | Webflow agency & freelancer leads |
| [Stripe Partners](https://apify.com/spotless_studios/stripe-partners-scraper) | Stripe implementation partner lists |
| [UK Planning Applications](https://apify.com/spotless_studios/uk-planning-applications-scraper) | UK planning leads + agent contacts |
| [Product Hunt](https://apify.com/spotless_studios/product-hunt-scraper) | Every PH launch + makers / websites |
| [Duunitori Jobs](https://apify.com/spotless_studios/duunitori-jobs-scraper) | Finland job listings |
| [Clutch Agencies](https://apify.com/spotless_studios/clutch-agencies-scraper) | Clutch agency prospecting |
| [Skool Communities](https://apify.com/spotless_studios/skool-communities-scraper) | Skool community & creator leads |

# Actor input Schema

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

Cities, regions, or neighborhoods to search on Airbnb, e.g. "Austin, TX", "Scottsdale, AZ", "Joshua Tree, CA".

## `roomIds` (type: `array`):

Optional Airbnb room IDs (e.g. "48867583") or full https://www.airbnb.com/rooms/<id> URLs to scrape directly.

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

Optional check-in date for search quote pricing, e.g. "2026-11-15".

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

Optional check-out date for search quote pricing, e.g. "2026-11-20".

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

Number of adult guests for search queries.

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

Three-letter ISO currency code for prices, e.g. "USD", "EUR", "GBP", "CAD", "AUD".

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

Number of forward months of daily availability and minimum-stay rules to fetch per listing (12 = full 365-day forward calendar; 0 = skip calendar).

## `enrichRoomDetails` (type: `boolean`):

Fetch each listing's room page for host ID, Superhost flag, 6 sub-ratings (cleanliness, accuracy, check-in, communication, location, value), person capacity, and full description.

## `minRating` (type: `number`):

Keep only listings rated at least this many stars (0-5).

## `minReviews` (type: `integer`):

Keep only listings with at least this many reviews.

## `onlySuperhosts` (type: `boolean`):

Keep only listings hosted by an Airbnb Superhost.

## `onlyGuestFavorites` (type: `boolean`):

Keep only listings with the Airbnb Guest Favorite badge.

## `includeKeywords` (type: `array`):

Keep listings whose title, subtitle, or description contain these words. /regex/ supported.

## `excludeKeywords` (type: `array`):

Drop listings containing any of these words or /regex/.

## `keywordMatch` (type: `string`):

Require any or all include keywords.

## `onlyNewItems` (type: `boolean`):

Remember listings from previous runs and save only ones not seen before.

## `stateKey` (type: `string`):

Separate memory per saved search.

## `maxResults` (type: `integer`):

Stop after saving this many Airbnb listings.

## `outputPreset` (type: `string`):

Quickly choose how much data to save per record: full record, lean summary, or contact & social links only.

## `outputFields` (type: `array`):

Save only these fields, in this order (e.g. name, website, country, tier, minimumBudgetUsd, hourlyDesignRateUsd, profileUrl). Supports nested dot-paths (e.g. makers.username). Empty keeps all fields from the selected preset.

## `excludeFields` (type: `array`):

Remove specific fields (or nested dot-paths) from each saved record to keep datasets compact.

## `includeEmptyFields` (type: `boolean`):

When turned off, strips null, empty strings, empty arrays, and empty objects from every saved record.

## `requiredFields` (type: `array`):

Only save (and only pay for) records where every listed field or dot-path has a non-empty value (e.g. website, inquiryEmail).

## `maxConcurrency` (type: `integer`):

Pages fetched in parallel.

## `maxRequestRetries` (type: `integer`):

Retries per request.

## `requestTimeoutSecs` (type: `integer`):

Timeout per request.

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

Optional; not usually needed.

## `proxyEscalation` (type: `boolean`):

If the site blocks the run, automatically step up from a direct connection to Apify datacenter proxy, then residential proxy, only for the blocked site. Turn off to use exactly the proxy above.

## Actor input object example

```json
{
  "locations": [
    "Austin, TX"
  ],
  "checkIn": "",
  "checkOut": "",
  "adults": 2,
  "currency": "USD",
  "calendarMonths": 12,
  "enrichRoomDetails": true,
  "onlySuperhosts": false,
  "onlyGuestFavorites": false,
  "keywordMatch": "any",
  "onlyNewItems": false,
  "stateKey": "default",
  "maxResults": 18,
  "outputPreset": "full",
  "includeEmptyFields": true,
  "maxConcurrency": 6,
  "maxRequestRetries": 4,
  "requestTimeoutSecs": 45,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "proxyEscalation": true
}
```

# Actor output Schema

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

Scraped Airbnb listings with forward calendar and occupancy data

# 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": [
        "Austin, TX"
    ],
    "maxResults": 18,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("spotless_studios/airbnb-calendar-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 = {
    "locations": ["Austin, TX"],
    "maxResults": 18,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("spotless_studios/airbnb-calendar-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 '{
  "locations": [
    "Austin, TX"
  ],
  "maxResults": 18,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call spotless_studios/airbnb-calendar-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,spotless_studios/airbnb-calendar-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/fbugOF7RbVjUlcyYo/builds/Zr1uCqDRtz7vuS3VL/openapi.json