# Vacation Rental Calendar & Occupancy (Airbnb listings) (`nimble_levi/vacation-rental-calendar-occupancy`) Actor

Airbnb occupancy & availability scraper: day-by-day calendar, min nights and monthly occupancy % for many listings per run. STR market data, $0.06 per listing-month.

- **URL**: https://apify.com/nimble_levi/vacation-rental-calendar-occupancy.md
- **Developed by:** [Bogdan Glisici](https://apify.com/nimble_levi) (community)
- **Categories:** Travel, Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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

## Vacation Rental Calendar & Occupancy (Airbnb listings)

**Airbnb occupancy and availability scraper for STR market data.** Paste any number of Airbnb listing URLs. You get each listing's **vacation rental calendar** day by day (available or blocked, check-in and check-out rules, minimum and maximum nights) and a **monthly occupancy %** that's ready to use. No login, no coding, export to Excel, CSV, JSON or Google Sheets.

**Keywords:** airbnb occupancy, airbnb calendar scraper, vacation rental calendar, availability scraper, STR market data, short-term rental occupancy rate, booked nights, minimum stay.

### Who it's for

- **Short-term-rental investors** checking how busy comparable listings are before buying.
- **Hosts and property managers** tracking competitors' occupancy and minimum-stay rules.
- **Analysts** building market dashboards (Google Sheets, Make, Zapier, API).

### Why this actor

| | This actor | Typical calendar scrapers |
|---|---|---|
| Listings per run | Unlimited list of URLs or IDs | Often one URL per run |
| Monthly occupancy % | ✅ Computed for you | ❌ You calculate it |
| Past days of the current month | Excluded by default, so they don't inflate occupancy | Usually counted as "unavailable" |
| Months beyond the host's booking window | Flagged `likelyOutsideBookingWindow` | Reported as 100% "booked" |
| Bad / deleted listings | Clear error row, and the run continues | Run fails or returns nothing |
| Summary-only mode | ✅ (`outputDays: false`) | ❌ |

### Use cases

- **STR investment due diligence:** check real booked-night patterns of 10–50 comparable listings before buying a property.
- **Competitor tracking for hosts:** see how fast competitors fill weekends and holidays, and how they set minimum stays.
- **Revenue management:** schedule weekly runs and watch booking pace (`availableNights` falling over time).
- **Market research and dashboards:** feed monthly occupancy into Google Sheets, Looker Studio or BI tools.
- **Property managers:** prospect for owners whose listings show low occupancy.

### Input

```json
{
  "listings": ["https://www.airbnb.com/rooms/45156004", "12440509"],
  "monthsAhead": 3,
  "outputDays": true,
  "includePastDays": false,
  "currency": "USD",
  "maxConcurrency": 2,
  "proxyConfiguration": { "useApifyProxy": true }
}
```

### Output

Each row has a `type` field: `day`, `month` or `error`. Use the dataset views **Daily calendar**, **Monthly occupancy** and **Errors**.

**Month row**

```json
{"type":"month","listingId":"45156004","month":"2026-11","daysCounted":30,"availableNights":15,
 "blockedNights":15,"occupancyPct":50.0,"avgMinNights":2.0}
```

**Day row**

```json
{"type":"day","listingId":"12440509","date":"2026-11-06","available":true,
 "availableForCheckin":true,"availableForCheckout":true,"minNights":1,"maxNights":1125}
```

### Example output (monthly summary)

| listingId | month | daysCounted | availableNights | blockedNights | occupancyPct | avgMinNights |
|---|---|---|---|---|---|---|
| 45156004 | 2026-10 | 20 | 4 | 16 | 80.0 | 1.9 |
| 45156004 | 2026-11 | 30 | 15 | 15 | 50.0 | 2.0 |
| 12440509 | 2026-11 | 30 | 18 | 12 | 40.0 | 1.0 |
| 12440509 | 2026-12 | 31 | 12 | 19 | 61.3 | 1.4 |

Real results from a test run on listings in Brașov, Romania, on 12 Oct 2026.

### FAQ

**Can I scrape Airbnb occupancy for a whole city?** Paste the listing URLs (for example from a search page). A city-level estimator is coming soon.
**Is an account or Airbnb login needed?** No. Only public calendar data is used.
**How fresh is the data?** Live at run time. Schedule it daily or weekly for history.

### Important: what "occupancy" means

Airbnb's public calendar shows whether a night is **blocked**. It does not say whether a guest booked it or the host blocked it. `occupancyPct` = blocked nights ÷ nights counted. Treat it as an **upper-bound estimate** of real bookings. It is most reliable for active listings over the next 1 to 3 months.

### Pricing

Pay per event: **$0.06 per listing-month**. That covers all day rows *and* the summary for that month. A 3-month check of one listing costs $0.18. Errors are not charged.

### Tips

- For large runs (hundreds of listings), use Apify **Residential** proxy and keep `maxConcurrency` at 2 to 3.
- Schedule a weekly run and compare `availableNights` to see booking pace.

### Limitations

- Nightly prices are not included in v0.1. Airbnb no longer exposes prices in the public calendar response.
- If Airbnb changes its internal calendar query, the actor reports a clear error until it is updated.

*Airbnb is a trademark of Airbnb, Inc. This tool is independent and not affiliated with Airbnb.*

# Actor input Schema

## `listings` (type: `array`):

Airbnb listing URLs (e.g. https://www.airbnb.com/rooms/12345) or bare numeric IDs.

## `monthsAhead` (type: `integer`):

How many calendar months to fetch, starting with the current month.

## `includePastDays` (type: `boolean`):

Past days always show as unavailable on Airbnb, so they are excluded from rows and occupancy by default.

## `outputDays` (type: `boolean`):

Turn off to get only the monthly summary rows (cheaper).

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

ISO currency code passed to Airbnb.

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

Parallel listings. Keep low to be polite.

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

Recommended: Apify Residential proxy for large runs.

## Actor input object example

```json
{
  "listings": [
    "https://www.airbnb.com/rooms/860663943931949474"
  ],
  "monthsAhead": 3,
  "includePastDays": false,
  "outputDays": true,
  "currency": "USD",
  "maxConcurrency": 2,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `monthlyOccupancy` (type: `string`):

One row per listing per month: blocked/available nights, occupancyPct, avgMinNights.

## `dailyCalendar` (type: `string`):

One row per listing per day: available, check-in/out allowed, min/max nights.

# 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 = {
    "listings": [
        "https://www.airbnb.com/rooms/860663943931949474"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("nimble_levi/vacation-rental-calendar-occupancy").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 = { "listings": ["https://www.airbnb.com/rooms/860663943931949474"] }

# Run the Actor and wait for it to finish
run = client.actor("nimble_levi/vacation-rental-calendar-occupancy").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 '{
  "listings": [
    "https://www.airbnb.com/rooms/860663943931949474"
  ]
}' |
apify call nimble_levi/vacation-rental-calendar-occupancy --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nimble_levi/vacation-rental-calendar-occupancy"
        }
    }
}
```

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/K8L7cqcVbcDBLRujA/builds/dBGhew4ru7gCGKRji/openapi.json