# Scrape Expedia Business Guest Reviews

**Use case:** 

Extract Expedia hotel reviews from business travelers, with optional keyword search. Structured guest feedback for corporate travel and reputation tracking.

## Input

```json
{
  "scrapeType": "HOTEL_REVIEWS",
  "locationSearch": "Paris, France",
  "locationLimit": 5,
  "regionId": "2734",
  "checkIn": "2026-08-15",
  "checkOut": "2026-08-20",
  "adults": 2,
  "childrenAges": [
    5,
    10
  ],
  "maxResults": 50,
  "hotelFilters": {
    "sort": "PRICE_LOW_TO_HIGH",
    "star_ratings": [
      4,
      5
    ],
    "price_max": 300,
    "guest_rating_min": 70,
    "amenities": [
      "WIFI",
      "POOL"
    ],
    "property_types": [
      "HOTEL"
    ],
    "payment_type": "FREE_CANCELLATION"
  },
  "propertyId": "16786",
  "currency": "USD",
  "page": 0,
  "pageSize": 20,
  "sortBy": "",
  "searchTerm": "wifi",
  "travelerType": "BUSINESS",
  "pickupSearchTerm": "New York, New York, United States of America",
  "pickupDatetime": {
    "day": 20,
    "month": 9,
    "year": 2026,
    "hour": 10,
    "minute": 0
  },
  "dropoffSearchTerm": "New York, New York, United States of America",
  "dropoffDatetime": {
    "day": 25,
    "month": 9,
    "year": 2026,
    "hour": 10,
    "minute": 0
  },
  "transferMode": "RENTAL",
  "carFilters": {
    "sort": "TOTAL_PRICE_LOW_TO_HIGH",
    "car_types": [
      "midsize",
      "compact"
    ],
    "vendors": [
      "ZE",
      "ZI"
    ],
    "price_range": "75-100",
    "capacity": "TWO_TO_FIVE",
    "specs": [
      "AUTO_TRANSMISSION"
    ]
  },
  "carOfferToken": "AQh3XDzUb4Yaw4cMGaeYnjj7avjCnI7in9MF41jMKsvokMLK..."
}
```

## Output

```json
{
  "scrape_type": {
    "label": "Type",
    "format": "text"
  },
  "property_id": {
    "label": "Property ID",
    "format": "text"
  },
  "review_id": {
    "label": "Review ID",
    "format": "text"
  },
  "reviewer": {
    "label": "Reviewer",
    "format": "text"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "rating_text": {
    "label": "Rating text",
    "format": "text"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "text": {
    "label": "Review",
    "format": "text"
  },
  "traveler_type": {
    "label": "Traveler type",
    "format": "text"
  },
  "date": {
    "label": "Date",
    "format": "text"
  },
  "trip_summary": {
    "label": "Stay",
    "format": "text"
  },
  "positive": {
    "label": "Pros",
    "format": "text"
  },
  "negative": {
    "label": "Cons",
    "format": "text"
  },
  "management_response": {
    "label": "Hotel response",
    "format": "text"
  },
  "photos": {
    "label": "Photos",
    "format": "array"
  },
  "is_metadata": {
    "label": "Metadata",
    "format": "boolean"
  },
  "overall_rating": {
    "label": "Overall rating",
    "format": "text"
  },
  "verified_reviews": {
    "label": "Verified reviews",
    "format": "text"
  },
  "score_categories": {
    "label": "Score categories",
    "format": "array"
  },
  "page": {
    "label": "Page",
    "format": "number"
  },
  "page_size": {
    "label": "Page size",
    "format": "number"
  },
  "pushed": {
    "label": "Pushed",
    "format": "number"
  },
  "filters_applied": {
    "label": "Filters applied",
    "format": "object"
  },
  "filter_options": {
    "label": "Filter options",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Expedia Data](https://apify.com/apiguruu/expedia-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/apiguruu/expedia-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/apiguruu/expedia-scraper.md

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`).