# Vacasa Reviews Scraper (`knagymate/vacasa-reviews-scraper`) Actor

Scrape structured Vacasa vacation rental reviews from public unit pages. Extract overall and category ratings, review title and text, host replies, reviewer names, and dates from multiple units in one run. Clean, analysis-ready output for sentiment analysis, SEO, and guest analytics.

- **URL**: https://apify.com/knagymate/vacasa-reviews-scraper.md
- **Developed by:** [knagymate](https://apify.com/knagymate) (community)
- **Categories:** Travel, SEO tools, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

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

## Vacasa Reviews Scraper | Vacation Rental Review Data

Scrape structured **Vacasa vacation rental reviews** from public unit pages with a fast, production-ready Apify Actor.

If you need reliable **Vacasa review data extraction** for property research, hospitality SEO, or guest analytics, this Actor gives you clean, analysis-ready output without manual copy-paste from individual unit pages.

Extract clean data for property intelligence, sentiment analysis, content strategy, and AI pipelines, including:

- ⭐ Overall and category rating scores per review
- 📝 Review title and full review text
- 👤 Reviewer metadata (first name, last initial)
- 🏷 Review ID and review date
- 💬 Host reply text (when present)
- 🏠 Vacasa unit identifier

***

### ✨ Features

- ✅ Scrape reviews from **Vacasa unit URLs**
- ✅ Supports **multiple URLs** in one run (`startUrls`)
- ✅ Capture overall score plus **cleanliness, property condition, service, and recommendation** scores
- ✅ Extract review title, review text, and host reply (when available)
- ✅ Parse reviewer metadata (first name, last initial) and review date
- ✅ Optional `cutoffDate` for incremental runs
- ✅ Optional `maxReviewsPerHotel` limit per URL (defaults to 100)
- ✅ Client-side sorting by `MOST_RECENT`, `HIGHEST_RATING`, or `LOWEST_RATING`
- ✅ Clean, normalized dataset output for analytics and ETL
- ✅ Works with Apify API, schedules, and webhooks

***

### 🌍 What this scraper is best for

This Vacasa scraper is designed for teams that work with **vacation rental reviews at scale**: property managers, hospitality brands, affiliate SEO teams, and analysts tracking guest feedback across markets.

Instead of reading reviews page by page, you can collect structured feedback for multiple units in one run, compare ratings across categories, and build repeatable monthly monitoring workflows.

***

### 🔗 Supported Vacasa URLs

Provide one or more Vacasa unit URLs, for example:

```text
https://www.vacasa.com/unit/1009911
```

The Actor resolves the unit id from the URL and automatically fetches all available reviews for that unit.

***

### ⚙️ Input configuration

| Field | Type | Required | Description |
|---|---|:---:|---|
| `startUrls` | `array` | Yes | One or more Vacasa unit URLs |
| `maxReviewsPerHotel` | `integer` | No | Maximum number of reviews to return per unit (default: 100) |
| `cutoffDate` | `string` (date) | No | Only keep reviews from this date onward |
| `sortBy` | `string` | No | Sort reviews client-side: `MOST_RECENT`, `HIGHEST_RATING`, `LOWEST_RATING` |

#### Example input

```json
{
  "startUrls": [
    { "url": "https://www.vacasa.com/unit/1009911" }
  ],
  "maxReviewsPerHotel": 50,
  "cutoffDate": "2025-01-01",
  "sortBy": "MOST_RECENT"
}
```

***

### 📦 Output dataset

Each dataset item is a single review record that can be directly used for **review analytics**, **hospitality content optimization**, and **guest sentiment tracking**.

#### Output fields

| Field | Description |
|---|---|
| `unitId` | Vacasa unit identifier |
| `overall` | Overall score |
| `cleanliness` | Cleanliness score |
| `propertyCondition` | Property condition score |
| `service` | Service score, when present |
| `recommend` | Recommendation score |
| `starRating` | Star rating |
| `heading` | Review title |
| `review` | Review text |
| `response` | Host reply, when present |
| `firstName` | Reviewer first name |
| `lastInitial` | Reviewer last initial |
| `reviewId` | Review identifier |
| `date` | Review date (ISO 8601 datetime format) |

#### Example output item

```json
{
  "unitId": "1009911",
  "overall": 3,
  "cleanliness": 4,
  "propertyCondition": 3,
  "service": 5,
  "recommend": 10,
  "starRating": 3,
  "heading": "Terrible Mattresses",
  "review": "Let me start by saying that we have been to Regency Isle many times in the past and have always enjoyed our stay...",
  "response": "Thank you for taking the time to share your detailed feedback...",
  "firstName": "Dava",
  "lastInitial": "P",
  "reviewId": "2694118",
  "date": "2024-09-12T00:00:00"
}
```

***

### 🎯 Typical use cases

- **Guest sentiment analysis** across properties, markets, and rating categories
- **Vacation rental competitor analysis** by comparing ratings and review themes for similar units
- **SEO and content optimization** using authentic guest wording from unit reviews
- **Review monitoring pipelines** with scheduled incremental runs via `cutoffDate`
- **AI/LLM training datasets** built from real vacation rental review text

***

### ⚠️ Notes

- This Actor is intended for lawful, ethical scraping of publicly visible data.
- You are responsible for complying with Vacasa terms and applicable laws in your jurisdiction.
- Review ordering is handled in-memory because the API returns the full review list in one response.
- `cutoffDate` uses the exact date you provide.

# Actor input Schema

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

Vacasa unit page URLs to scrape reviews from.

## `maxReviewsPerHotel` (type: `integer`):

Maximum number of reviews to return per hotel.

## `cutoffDate` (type: `string`):

Only keep reviews from this date onward.

## `sortBy` (type: `string`):

Choose how reviews should be sorted.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.vacasa.com/unit/1009911"
    }
  ],
  "maxReviewsPerHotel": 100,
  "cutoffDate": "2025-01-01",
  "sortBy": "MOST_RECENT"
}
```

# Actor output Schema

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

No description

# 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 = {
    "startUrls": [
        {
            "url": "https://www.vacasa.com/unit/1009911"
        }
    ],
    "maxReviewsPerHotel": 100,
    "sortBy": "MOST_RECENT"
};

// Run the Actor and wait for it to finish
const run = await client.actor("knagymate/vacasa-reviews-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 = {
    "startUrls": [{ "url": "https://www.vacasa.com/unit/1009911" }],
    "maxReviewsPerHotel": 100,
    "sortBy": "MOST_RECENT",
}

# Run the Actor and wait for it to finish
run = client.actor("knagymate/vacasa-reviews-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 '{
  "startUrls": [
    {
      "url": "https://www.vacasa.com/unit/1009911"
    }
  ],
  "maxReviewsPerHotel": 100,
  "sortBy": "MOST_RECENT"
}' |
apify call knagymate/vacasa-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,knagymate/vacasa-reviews-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/YnOoAQKPQbd8XU40h/builds/8RLzjHfFecsWigzAo/openapi.json