# Market Research on Austin Coffee Shops

**Use case:** 

Conduct comprehensive market research on coffee shops in Austin, TX, by extracting their offerings, hours, and customer perceptions. This data supports strategi

## Input

```json
{
  "searchTerms": [
    "coffee shop",
    "cafe"
  ],
  "locations": [
    "Austin, TX"
  ],
  "directUrls": [
    {
      "url": "https://www.yelp.com/biz/prince-street-pizza-new-york-2"
    }
  ],
  "searchLimit": 40,
  "reviewLimit": 5,
  "fetchPhotos": true,
  "fetchHours": true,
  "fetchMenu": true,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "name": {
    "label": "Name",
    "format": "text"
  },
  "aggregatedRating": {
    "label": "Rating",
    "format": "text"
  },
  "reviewCount": {
    "label": "Reviews",
    "format": "text"
  },
  "priceRange": {
    "label": "Price",
    "format": "text"
  },
  "phone": {
    "label": "Phone",
    "format": "text"
  },
  "claimStatus": {
    "label": "Claim Status",
    "format": "text"
  },
  "address": {
    "label": "Address",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Yelp Scraper Pro](https://apify.com/crawlerbros/yelp-scraper-pro) with a specific input configuration. Visit the [Actor detail page](https://apify.com/crawlerbros/yelp-scraper-pro) to learn more, explore other use cases, and run it yourself.


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

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

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).