# Find New York Hotel Breakfast Reviews on TripAdvisor

**Use case:** 

Collect TripAdvisor reviews mentioning breakfast to help hotel operators and hospitality consultants identify service improvements and compare guest feedback. Results include review text, star ratings, trip type, owner replies, and the place’s overall rating and address. Change the hotel URL or keyword to adapt the results.

## Input

```json
{
  "startUrls": [
    "https://www.tripadvisor.com/Hotel_Review-g60763-d675616-Reviews-The_Plaza_New_York-New_York_City_New_York.html"
  ],
  "maxReviews": 50,
  "sortBy": "mostRecent",
  "ratingFilter": [],
  "tripTypeFilter": [],
  "monthFilter": [],
  "reviewLanguage": [],
  "keyword": "breakfast",
  "publishedAfter": ""
}
```

## Output

```json
{
  "placeName": {
    "label": "Place",
    "format": "text"
  },
  "placeCategory": {
    "label": "Type",
    "format": "text"
  },
  "placeRating": {
    "label": "Place rating",
    "format": "text"
  },
  "placeReviewCount": {
    "label": "Place reviews",
    "format": "text"
  },
  "reviewTitle": {
    "label": "Title",
    "format": "text"
  },
  "position": {
    "label": "Position"
  },
  "reviewRating": {
    "label": "Rating",
    "format": "text"
  },
  "reviewDate": {
    "label": "Published",
    "format": "text"
  },
  "travelDate": {
    "label": "Visited",
    "format": "text"
  },
  "tripType": {
    "label": "Trip type",
    "format": "text"
  },
  "reviewerName": {
    "label": "Reviewer",
    "format": "text"
  },
  "helpfulVotes": {
    "label": "Helpful",
    "format": "text"
  },
  "ownerResponse": {
    "label": "Owner response",
    "format": "text"
  },
  "reviewSubratings": {
    "label": "Subratings",
    "format": "object"
  },
  "placeRanking": {
    "label": "Ranking",
    "format": "text"
  },
  "placePriceRange": {
    "label": "Price range",
    "format": "text"
  },
  "reviewUrl": {
    "label": "Review URL",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The TripAdvisor Guest Review & Rating Extractor Actor is ready to run with the inputs already set for "Find New York Hotel Breakfast Reviews on TripAdvisor". [Sign up or log in](https://console.apify.com/create-task-from-example/E6qE89yXq4m1X4fbj) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find New York Hotel Breakfast Reviews on TripAdvisor" task

The TripAdvisor Guest Review & Rating Extractor Actor will start running based on the input automatically. You can also change all the input fields, like place urls or ids, maximum reviews per place, and more, to match your specific use case.

### 3. Receive the "Find New York Hotel Breakfast Reviews on TripAdvisor" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as place, type, place rating, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Find New York Hotel Breakfast Reviews on TripAdvisor" task via API](https://apify.com/vexaloom-labs/tripadvisor-guest-review-and-rating-extractor.md).

## About this Actor

This example demonstrates how to use [TripAdvisor Guest Review & Rating Extractor](https://apify.com/vexaloom-labs/tripadvisor-guest-review-and-rating-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vexaloom-labs/tripadvisor-guest-review-and-rating-extractor.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/vexaloom-labs/tripadvisor-guest-review-and-rating-extractor.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`).