# Extract Las Vegas Hotel Review Complaints from Yelp

**Use case:** 

Search for hotels in Las Vegas and extract 1-star and 2-star reviews to monitor customer complaints and owner replies. This task returns business names, ratings, review text, author details, and response history for reputation management. Change the location or rating filters to monitor different hospitality markets.

## Input

```json
{
  "mode": "search",
  "searchQuery": "hotel",
  "location": "Las Vegas, NV",
  "startUrls": [
    "https://www.yelp.com/biz/prince-street-pizza-new-york-2"
  ],
  "categories": [],
  "sortBy": "recommended",
  "price": [],
  "minRating": 0,
  "maxItems": 20,
  "maxReviewsPerBusiness": 50,
  "includeReviews": true,
  "reviewSort": "DATE_DESC",
  "reviewRatings": [
    "1",
    "2"
  ],
  "reviewLanguage": "en"
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type",
    "format": "text"
  },
  "businessId": {
    "label": "Business ID",
    "format": "text"
  },
  "encId": {
    "label": "Yelp business ID",
    "format": "text"
  },
  "alias": {
    "label": "Alias",
    "format": "text"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "categories": {
    "label": "Categories",
    "format": "array"
  },
  "address": {
    "label": "Address",
    "format": "object"
  },
  "city": {
    "label": "City",
    "format": "text"
  },
  "state": {
    "label": "State",
    "format": "text"
  },
  "zip": {
    "label": "ZIP",
    "format": "text"
  },
  "country": {
    "label": "Country",
    "format": "text"
  },
  "lat": {
    "label": "Latitude",
    "format": "number"
  },
  "lng": {
    "label": "Longitude",
    "format": "number"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "reviewCount": {
    "label": "Reviews",
    "format": "number"
  },
  "reviewsTotal": {
    "label": "Reviews in feed",
    "format": "number"
  },
  "price": {
    "label": "Price",
    "format": "text"
  },
  "phone": {
    "label": "Phone",
    "format": "text"
  },
  "website": {
    "label": "Website",
    "format": "link"
  },
  "hours": {
    "label": "Hours",
    "format": "object"
  },
  "photos": {
    "label": "Photos",
    "format": "array"
  },
  "url": {
    "label": "Yelp URL",
    "format": "link"
  },
  "isClosed": {
    "label": "Closed",
    "format": "boolean"
  },
  "isClaimed": {
    "label": "Claimed",
    "format": "boolean"
  },
  "description": {
    "label": "Description",
    "format": "text"
  },
  "reviews": {
    "label": "Reviews",
    "format": "array"
  },
  "searchRank": {
    "label": "Search rank",
    "format": "number"
  },
  "sponsored": {
    "label": "Sponsored",
    "format": "boolean"
  },
  "searchQuery": {
    "label": "Search query",
    "format": "text"
  },
  "searchLocation": {
    "label": "Search location",
    "format": "text"
  },
  "sourceUrl": {
    "label": "Source URL",
    "format": "link"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "text"
  }
}
```

## How it works

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

The Yelp Business Search & Review Scraper Actor is ready to run with the inputs already set for "Extract Las Vegas Hotel Review Complaints from Yelp". [Sign up or log in](https://console.apify.com/create-task-from-example/0JtG0fNcbj89RDfaq) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Extract Las Vegas Hotel Review Complaints from Yelp" task

The Yelp Business Search & Review Scraper Actor will start running based on the input automatically. You can also change all the input fields, like mode, search query, and more, to match your specific use case.

### 3. Receive the "Extract Las Vegas Hotel Review Complaints from Yelp" 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 record type, business id, yelp business id, 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 "Extract Las Vegas Hotel Review Complaints from Yelp" task via API](https://apify.com/nimbryxo-studio/yelp-business-search-and-review-scraper.md).

## FAQ

### How do I find 1-star and 2-star hotel reviews in Las Vegas?

The Las Vegas hotel review task searches Yelp for hotels in Las Vegas and collects 1-star and 2-star reviews. Copy it to your Apify account to run it or adjust the search settings.

### What data does the Las Vegas hotel review task collect?

The Las Vegas hotel review task returns business details such as names, ratings, addresses, and review counts, plus review text, author details, and owner replies when available. Reviews are nested under each business record.

### How many Las Vegas hotels can one run return?

The Las Vegas hotel review task is set to return at most 20 business records. A single Yelp search is limited to 240 results, and the task collects up to 50 reviews per business.

### Can I export the hotel reviews to CSV or Excel?

After running the Las Vegas hotel review task, you can download its dataset as CSV, Excel, JSON, XML, RSS, or an HTML table, or read it through the Apify API.

### How much does it cost to extract Las Vegas hotel reviews?

For the Las Vegas hotel review task, the result charge is at most $0.02 on the Free plan for up to 20 results. Actor start and Apify platform compute charges also apply.

### Can I change the city or hotel search for this task?

Copy the Las Vegas hotel review task into your Apify account and change the search keyword or location to monitor another hospitality market. You can also adjust the review rating filters.

## About this Actor

This example demonstrates how to use [Yelp Business Search & Review Scraper](https://apify.com/nimbryxo-studio/yelp-business-search-and-review-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nimbryxo-studio/yelp-business-search-and-review-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/nimbryxo-studio/yelp-business-search-and-review-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`).