# Expedia Reviews Scraper (`one_house/expedia-reviews-scraper`) Actor

Scrape hotel reviews, ratings, and traveler details from Expedia by hotel URL or property ID.

- **URL**: https://apify.com/one\_house/expedia-reviews-scraper.md
- **Developed by:** [One House](https://apify.com/one_house) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 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.

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

Extract hotel reviews from [Expedia](https://www.expedia.com) using a hotel page URL or property ID.

### What does Expedia Reviews Scraper do?

**Expedia Reviews Scraper** extracts guest reviews, ratings, and hotel management responses from any [Expedia](https://www.expedia.com) hotel page - no coding required. Give it a hotel URL (or numeric property ID), pick a sort order, and it pulls review text, ratings, traveler type, stay dates, and property replies into a clean, structured dataset. Run it on the Apify platform to get scheduled scraping, API access, dataset exports, and automatic proxy rotation for large jobs.

### Why use Expedia Reviews Scraper?

- **Reputation monitoring** - track what guests say about a property (or your competitors') over time.
- **Competitor analysis** - compare ratings, sentiment, and review volume across hotels in a market.
- **Market research** - feed structured review data into BI tools, spreadsheets, or NLP pipelines.
- **Customer service insight** - see which management responses exist and how properties handle negative feedback.

### How to use Expedia Reviews Scraper

1. Open this Actor and click **Start**.
2. Add Expedia hotel URLs under **Hotel URLs**, or paste numeric property IDs under **Property IDs**.
3. Pick a **Sort by** order (Most relevant, Most recent, Highest rating, Lowest rating) - matches the dropdown on Expedia's own reviews dialog.
4. Set **Max reviews per hotel** (`0` = all available).
5. Run the Actor and download results from the **Dataset** tab.

#### Finding the property ID

The property ID appears in Expedia hotel URLs, right before `.Hotel-Information`:

- `https://www.expedia.com/Antalya-Hotels-Lara-Barut-Collection.h1207007.Hotel-Information` → property ID `1207007`

### Input

See the **Input** tab for the full list of fields. Minimal example:

```json
{
    "startUrls": [{ "url": "https://www.expedia.com/Antalya-Hotels-Lara-Barut-Collection.h1207007.Hotel-Information" }],
    "sortBy": "mostRecent",
    "maxReviews": 100
}
```

### Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. Each dataset item is one review:

```json
{
    "reviewId": "69fcac16c5ab1459fde7042f",
    "propertyId": "1207007",
    "hotelName": "Lara Barut Collection",
    "title": null,
    "text": "Food, facilities and staff all amazing!",
    "rating": 10,
    "ratingScale": 10,
    "ratingLabel": "Excellent",
    "sentimentLabel": "Liked: cleanliness, staff & service, amenities, property conditions & facilities",
    "authorName": "Chloe",
    "publishedAt": "2026-05-08T00:00:00.000Z",
    "travelType": null,
    "nightsStayed": 5,
    "stayMonth": "Apr 2026",
    "translated": false,
    "replyText": "Dear Chloe,\n\nThank you very much for your lovely review...",
    "replyDate": "2026-05-09T00:00:00.000Z",
    "replyResponderName": "Mürşide Engin",
    "replyResponderRole": "Guest Relations Manager",
    "sortedBy": "mostRelevant",
    "source": "expedia",
    "scrapedAt": "2026-07-28T21:00:00.000Z"
}
```

A hotel summary (property ID, derived name, canonical URL, overall rating, and total review count) is also saved in the key-value store as `HOTEL_INFO_{propertyId}`.

### Data table

| Field                                                                   | Description                                                |
| ----------------------------------------------------------------------- | ---------------------------------------------------------- |
| `reviewId`                                                              | Unique review ID                                           |
| `title`                                                                 | Review title (often empty on Expedia)                      |
| `text`                                                                  | Review body text                                           |
| `rating` / `ratingScale`                                                | Rating on Expedia's 10-point scale                         |
| `ratingLabel`                                                           | Qualitative label (e.g. "Excellent", "Okay")               |
| `sentimentLabel`                                                        | Auto-generated "Liked: ..." summary shown under the review |
| `authorName`                                                            | Reviewer's display name                                    |
| `publishedAt`                                                           | Review publish date (ISO 8601)                             |
| `travelType`                                                            | Traveler context (e.g. "Traveled with family") when shown  |
| `nightsStayed` / `stayMonth`                                            | Parsed from Expedia's "Stayed X nights in Month Year" line |
| `replyText` / `replyDate` / `replyResponderName` / `replyResponderRole` | Hotel management's reply, if any                           |

### Pricing / Cost estimation

Runs are light: 256 MB of memory is enough. Reviews are collected 50 at a time, and how long each batch takes varies with how busy Expedia is - typically 10-60 seconds, occasionally a few minutes. In testing, 50 reviews cost about $0.002-$0.011 in total (compute plus proxy traffic), and cost scales roughly linearly with `maxReviews`.

### Tips

- Use `maxReviews` to control cost on hotels with thousands of reviews.
- Ratings on Expedia use a **1-10** scale (`ratingScale: 10`).
- Add multiple hotel URLs in one run to batch scraping across properties.
- Leave the proxy on Apify Residential (the default) and don't pin it to a country - that made results worse in testing.
- The review list matches what the Expedia website shows for the hotel. If the Actor ever cannot get a complete list, the run fails with a clear error instead of returning a partial one - a missing review never looks like a deleted one.
- If a batch of reviews cannot be collected within its time budget (5 minutes), the Actor keeps what it already saved for that hotel and moves on - re-run later for the rest.

### FAQ, disclaimers, and support

This Actor only extracts publicly visible review data from Expedia hotel pages. Use it in accordance with Expedia's Terms of Service and applicable data protection laws. Some fields (e.g. `travelType`) may be empty when Expedia doesn't display that detail for a given review.

Found a bug or need a custom feature? Open an issue in the Actor's **Issues** tab - custom modifications are available on request.

# Actor input Schema

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

Expedia hotel information page URLs. The numeric property ID is extracted automatically.

## `propertyIds` (type: `array`):

Expedia numeric property IDs (alternative to URLs), e.g. the 1207007 in .h1207007. in the hotel URL.

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

Same sort options as the reviews dialog on Expedia.

## `maxReviews` (type: `integer`):

Maximum number of reviews to scrape per hotel. Set 0 for all available reviews.

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

Apify Residential is the default and what this Actor was tested with. Do not pin the proxy to a country.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.expedia.com/Antalya-Hotels-Lara-Barut-Collection.h1207007.Hotel-Information"
    }
  ],
  "sortBy": "mostRecent",
  "maxReviews": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

No description

## `hotelInfo` (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.expedia.com/Antalya-Hotels-Lara-Barut-Collection.h1207007.Hotel-Information"
        }
    ],
    "sortBy": "mostRecent",
    "maxReviews": 50,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("one_house/expedia-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.expedia.com/Antalya-Hotels-Lara-Barut-Collection.h1207007.Hotel-Information" }],
    "sortBy": "mostRecent",
    "maxReviews": 50,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("one_house/expedia-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.expedia.com/Antalya-Hotels-Lara-Barut-Collection.h1207007.Hotel-Information"
    }
  ],
  "sortBy": "mostRecent",
  "maxReviews": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call one_house/expedia-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,one_house/expedia-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/2klaQAWRHI1YpgN5O/builds/f7YeVoWDy98bonnXz/openapi.json