# VRBO Occupancy Scraper — Calendar, Occupancy & Booking Pace (`crawloop/vrbo-occupancy-scraper`) Actor

VRBO occupancy scraper for public availability calendars. Paste listing URLs or a city search and export occupancy %, sold-out nights, ADR, min-stay, and booking-pace deltas as JSON — a VRBO calendar API alternative for STR teams.

- **URL**: https://apify.com/crawloop/vrbo-occupancy-scraper.md
- **Developed by:** [Andrej Kiva](https://apify.com/crawloop) (community)
- **Categories:** Travel, Real estate, Automation
- **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 1,000 listing calendars

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?

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

## VRBO Occupancy Scraper — Calendar, Occupancy & Booking Pace

> **Disclaimer:** Unofficial tool for publicly accessible VRBO listing calendars. **VRBO** is a trademark of HomeAway.com, Inc. / Expedia Group. Not affiliated with, sponsored by, or endorsed by VRBO or Expedia Group. For informational, research, revenue-management, and market-analysis use only. Respect applicable terms of use and law.

**VRBO occupancy scraper** for the public **availability calendar** — a practical **VRBO calendar scraper**, **VRBO availability scraper**, and **VRBO API alternative**. Paste **listing URLs or IDs**, a **search URL**, or a **location**. Export **occupancy %** (30 / 60 / 90 / 365 days), **sold-out nights**, **ADR**, **min-stay**, optional **nightly prices**, and **booking-pace** deltas as a JSON dataset. Call from **Python**, **Node.js**, **cURL**, or **Apify MCP** / AI assistants.

Built for **STR revenue managers**, **vacation-rental investors**, **comp-set tracking**, and **short-term rental market research**. No VRBO account required.

| VRBO occupancy (STR calendars) | Airbnb occupancy (STR calendars) | Idealista (long-term ES/IT/PT) |
| :--- | :--- | :--- |
| **VRBO Occupancy Scraper** ◄── you are here | [Airbnb Occupancy Scraper](https://apify.com/crawloop/airbnb-occupancy-monitor) | [Idealista Scraper](https://apify.com/crawloop/idealista-scraper) |

### When to use this Actor

- You need a **VRBO occupancy monitor** / **VRBO occupancy scraper** that returns structured JSON
- You already know listing IDs (portfolio / comp set) or have a city search URL
- You want **occupancy %, sold-out nights, ADR, min-stay, and booking pace** — not a generic listing dump
- You want to scrape VRBO calendars with **Python**, **Node.js**, or **MCP** and export a dataset

### When not to use this Actor

- **Historical occupancy** — VRBO only exposes a **forward** rate calendar (about 12 months; this Actor requests up to 730 days)
- **Guaranteed booked vs owner-blocked** — the public calendar cannot tell them apart; this Actor labels that honestly
- **Guest PII, messages, host emails, or full review dumps** — public calendar and listing fields only
- **Whole-market 10k-listing crawls in one run** — cap with `maxListings` and schedule by neighborhood
- **Airbnb occupancy** — use [Airbnb Occupancy Scraper](https://apify.com/crawloop/airbnb-occupancy-monitor)

### Key Features

- **Listing URLs or dual IDs** — `vrbo.com/2165911`, `4193579ha`, and `expediaPropertyId=` query ids
- **Search / location discovery** — paste a VRBO search URL or type `Austin, TX` to take the first search page, then pull calendars
- **Forward calendar** — available / sold-out, check-in / check-out validity, per-date min-stay, nightly price when published
- **Occupancy windows** — 30 / 60 / 90 / 365-day unavailable rates plus horizon totals
- **ADR / RevPAR from available nights** — never interpolated; priced nights only
- **Booking pace** — schedule the Actor with `monitor: true` and a stable `monitorStoreName` (named Key-Value store). First run is the baseline; later runs emit newly unavailable / newly available nights
- **Honest metrics** — `unavailableRate` and `occupancyEstimate` are the same calendar signal, with an explicit host-block caveat
- **HTTP + Chromium fallback** — listing HTML via Chrome TLS impersonation; calendar GraphQL and search pages use headless Chromium when Akamai blocks raw POST
- **Apify Proxy ready** — US residential recommended on the platform
- **MCP / AI ready** — call from assistants via Apify MCP

### Use Cases

| Use case | What you get |
| :--- | :--- |
| **Comp-set occupancy** | Forward sold-out % for rival VRBO listings in your market |
| **Booking pace** | Nights that flipped unavailable (or opened) since the last scheduled run |
| **ADR / rate calendar** | Nightly prices on open nights plus min / max / ADR |
| **Min-stay intelligence** | Most common minimum-night rule across the horizon |
| **Investment screening** | Occupancy windows + rating / sleeps / bedrooms from the public listing page |
| **OTA suite** | Same occupancy schema as Airbnb occupancy for STR / revenue buyers |

### Quick Start

**Known listings:**

```json
{
  "listings": ["https://www.vrbo.com/2165911", "4193579ha"],
  "lookAheadDays": 365,
  "includeCalendar": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}
```

**City search (first page of listings, then calendars):**

```json
{
  "location": "Austin, TX",
  "lookAheadDays": 90,
  "maxListings": 20,
  "includeListingDetails": true
}
```

**Scheduled booking-pace monitor:**

```json
{
  "listings": ["https://www.vrbo.com/2165911"],
  "lookAheadDays": 365,
  "monitor": true,
  "monitorStoreName": "vrbo-occupancy-monitor",
  "includeCalendar": false
}
```

### Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `listings` | Array | — | Property URLs or IDs (path id, `ha` suffix, Expedia id in the URL) |
| `startUrls` | Array | — | Property URLs and/or VRBO search URLs |
| `location` | String | — | City / area used to build a search URL |
| `lookAheadDays` | Integer | `365` | Forward nights (1–730) |
| `maxListings` | Integer | `50` | Cap (`0` = unlimited) |
| `adults` | Integer | `2` | Guest count on the listing page |
| `includeListingDetails` | Boolean | `true` | Title, location, rating, capacity |
| `includeCalendar` | Boolean | `true` | Per-day `calendar[]` array |
| `monitor` | Boolean | `false` | Booking-pace vs previous run (needs named store) |
| `monitorStoreName` | String | `vrbo-occupancy-monitor` | Named KV store for pace snapshots |
| `currency` | String | `USD` | ISO code |
| `proxyConfiguration` | Object | US residential | Strongly recommended on Apify |

### Output Format

Each dataset item is **one listing** (or an `error` row if that listing failed) — not one row per night.

| Field | Type | Description |
| :--- | :--- | :--- |
| `vrboId` | String | Path id from `vrbo.com/{id}` |
| `expediaPropertyId` | String | Internal id used by the rate calendar |
| `listingUrl` | String | Canonical listing URL |
| `title` | String | Listing title |
| `city` / `region` / `countryCode` | String | Location when exposed |
| `rating` / `reviewsCount` | Number / Integer | Public review stats (VRBO scale is typically 10) |
| `sleeps` / `bedrooms` / `beds` / `bathrooms` | Number | Capacity when exposed |
| `unavailableRate` | Number | Unavailable ÷ counted nights in the 365-day window (same as occupancy365d) |
| `occupancyEstimate` | Number | Same value; labeled as an estimate |
| `occupancy30d` / `60d` / `90d` / `365d` | Number | Windowed unavailable rates |
| `availableDays` / `unavailableDays` / `soldOutDays` | Integer | Horizon counts |
| `firstAvailableDate` | String | Nearest open night |
| `minNightsMode` | Integer | Most common min-stay |
| `adr` / `estimatedRevenue` / `revpar` | Number | ADR from **available** priced nights only |
| `bookingPace` | Object | Present when `monitor` is on |
| `calendar` | Array | Per-day availability (optional) |
| `occupancyNote` | String | Host-block caveat |
| `scrapedAt` | String | ISO timestamp |

**Example row:**

```json
{
  "type": "listing",
  "source": "vrbo",
  "vrboId": "2165911",
  "expediaPropertyId": "63066336",
  "listingUrl": "https://www.vrbo.com/2165911?expediaPropertyId=63066336",
  "title": "Piccolo Ponte 3 BR Caribbean Villa. Pool & Hot Tub. Canal front, SUP, Bikes.",
  "city": "Leeward Settlement",
  "unavailableRate": 0.4123,
  "occupancyEstimate": 0.4123,
  "occupancy30d": 0.7,
  "occupancy90d": 0.4556,
  "availableDays": 215,
  "unavailableDays": 150,
  "firstAvailableDate": "2026-09-04",
  "minNightsMode": 3,
  "adr": 1094.0,
  "currency": "USD"
}
```

#### How occupancy is calculated

VRBO’s public rate calendar marks a night **available** or **unavailable**. An unavailable night can be a guest booking **or** a host calendar block. This Actor reports `unavailableRate` and `occupancyEstimate` as that share of upcoming nights, with `occupancyNote` on every row. It does not invent a booking-only occupancy figure. When the calendar is longer than 365 days, `unavailableRate` matches `occupancy365d` (not the full dump length). Nights without an availability flag are skipped rather than counted as 0% occupancy.

ADR is the average of **real prices on available nights**. Missing or blocked nights are not interpolated.

### Integration examples

#### Node.js

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/vrbo-occupancy-scraper').call({
  listings: ['https://www.vrbo.com/2165911'],
  lookAheadDays: 365,
  proxyConfiguration: {
    useApifyProxy: true,
    apifyProxyGroups: ['RESIDENTIAL'],
    apifyProxyCountry: 'US',
  },
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]?.unavailableRate, items[0]?.occupancy90d, items[0]?.adr);
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/vrbo-occupancy-scraper").call(
    run_input={
        "listings": ["https://www.vrbo.com/2165911"],
        "lookAheadDays": 365,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"],
            "apifyProxyCountry": "US",
        },
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("vrboId"), item.get("unavailableRate"), item.get("adr"))
```

#### cURL

```bash
curl "https://api.apify.com/v2/acts/crawloop~vrbo-occupancy-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"listings":["https://www.vrbo.com/2165911"],"lookAheadDays":365}'
```

### MCP and AI assistants

Use this Actor from AI tools via [Apify MCP](https://docs.apify.com/platform/integrations/mcp). Connect your Apify account, then call `crawloop/vrbo-occupancy-scraper`.

Example prompts:

- "Run VRBO Occupancy Scraper for https://www.vrbo.com/2165911 with 365 look-ahead days and return unavailableRate, occupancy30d, occupancy90d, soldOutDays, adr"
- "Scrape VRBO occupancy for listings in Austin, TX, max 15, and summarize 90-day sold-out rates as JSON"
- "Chain VRBO Occupancy Scraper then Airbnb Occupancy Scraper for the same city to compare OTA occupancy and ADR"

### FAQ

**Is this an official VRBO API?**\
No. It reads the same public GraphQL rate calendar the website uses and returns structured dataset rows — a practical **VRBO API alternative** for pipelines.

**VRBO occupancy scraper vs a VRBO listings scraper?**\
This Actor is calendar-first: occupancy %, sold-out nights, nightly rates, ADR, and booking pace. It is not a dump of search cards, reviews, or host emails.

**Do I need a VRBO login?**\
No — public calendars and listing pages only.

**Can I scrape VRBO occupancy with Python or Node.js?**\
Yes — use the Apify client examples above, or call the Actor from cURL / Apify MCP.

**Why residential proxy?**\
VRBO is Akamai-protected and often challenges datacenter IPs. Residential (US) is the reliable default on the platform.

**Is occupancy the same as booked nights?**\
No. Treat `occupancyEstimate` as **unavailable share**, including host blocks. That is the same limitation every calendar-based STR tool has.

**Can I get historical occupancy?**\
No. The calendar is forward-only. Schedule the Actor to build your own history.

**What IDs does VRBO use?**\
A listing URL can carry a path id (`2165911` / `4193579ha`) and an `expediaPropertyId`. This Actor stores both. The calendar GraphQL is keyed by the Expedia id.

**How many listings per search?**\
A location / search URL contributes the first results page. Pass explicit `listings` for a known portfolio.

### Related Actors

| Actor | Focus |
| :--- | :--- |
| **VRBO Occupancy Scraper** ◄── you are here | STR calendars, occupancy %, ADR, booking pace |
| [Airbnb Occupancy Scraper](https://apify.com/crawloop/airbnb-occupancy-monitor) | Airbnb STR calendars, occupancy %, booking pace |
| [Idealista Scraper](https://apify.com/crawloop/idealista-scraper) | Long-term rental / sale listings (ES/IT/PT) |

**Suite next step:** after VRBO occupancy snapshots, run [Airbnb Occupancy Scraper](https://apify.com/crawloop/airbnb-occupancy-monitor) for the same destination’s Airbnb calendars, then [Idealista Scraper](https://apify.com/crawloop/idealista-scraper) when you need long-term comps.

# Actor input Schema

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

VRBO property URLs or IDs. Accepts path ids (2165911, 4193579ha), Expedia ids in ?expediaPropertyId=, and full listing URLs. One per line.

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

Property URLs and/or VRBO search URLs (e.g. /search?destination=Austin,+TX). Search pages yield the first results page of listing IDs, then calendars are fetched for each.

## `location` (type: `string`):

City or area name used to build a search URL when you do not have listing IDs yet. Example: Austin, TX or Providenciales.

## `lookAheadDays` (type: `integer`):

Forward nights of availability to read (1–730). VRBO's public rate calendar is typically about 12 months; longer windows are requested when the endpoint returns them. Use 30 or 90 for occupancy windows.

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

Hard cap on listings processed in one run. 0 = unlimited.

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

Adult guests sent on listing pages. Occupancy uses the public unavailable flag; nightly ADR follows the calendar's published rates.

## `includeListingDetails` (type: `boolean`):

Add title, city, rating, sleeps, bedrooms, and Premier Host when the public listing page exposes them.

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

Attach the per-day availability array (date, available, check-in/out, min-stay, nightly price when present).

## `monitor` (type: `boolean`):

Compare this run to the previous run in a named Key-Value store and emit newly unavailable / newly available night counts. First run is the baseline (bookingPace.firstRun). Pair with a schedule and a stable monitorStoreName.

## `monitorStoreName` (type: `string`):

Named Key-Value store for booking-pace snapshots across scheduled runs. Default run storage is discarded after each run — a named store is required for deltas.

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

ISO currency requested from VRBO (USD, EUR, GBP, …).

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

Residential proxy is recommended. VRBO is Akamai-protected and often blocks datacenter IPs before the calendar GraphQL responds.

## Actor input object example

```json
{
  "listings": [
    "https://www.vrbo.com/2165911"
  ],
  "lookAheadDays": 365,
  "maxListings": 50,
  "adults": 2,
  "includeListingDetails": true,
  "includeCalendar": true,
  "monitor": false,
  "monitorStoreName": "vrbo-occupancy-monitor",
  "currency": "USD",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Default dataset items.

# 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.vrbo.com/2165911"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawloop/vrbo-occupancy-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 = {
    "listings": ["https://www.vrbo.com/2165911"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("crawloop/vrbo-occupancy-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 '{
  "listings": [
    "https://www.vrbo.com/2165911"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call crawloop/vrbo-occupancy-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawloop/vrbo-occupancy-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/sRMhfkDxSXEVkpUuY/builds/RI7b12gQGk3NAFUQl/openapi.json