# Uber Eats Cancun Breakfast Delivery Coverage

**Use case:** 

See which breakfast restaurants deliver to the Cancun hotel zone, downtown and Huayacan on Uber Eats, with delivery estimates, ratings and review counts.

## Input

```json
{
  "locations": [
    "Blvd. Kukulcan Km 9, Zona Hotelera, 77500 Cancun, Q.R., Mexico",
    "Av. Tulum 260, Supermanzana 15, 77500 Cancun, Q.R., Mexico",
    "Av. Huayacan 1050, Supermanzana 312, 77560 Cancun, Q.R., Mexico"
  ],
  "search_keyword": "Desayunos",
  "max_search_results": 40
}
```

## Output

```json
{
  "store_uuid": {
    "label": "Store UUID",
    "format": "string"
  },
  "name": {
    "label": "Store Name",
    "format": "string"
  },
  "url": {
    "label": "Store URL",
    "format": "url"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "country_code": {
    "label": "Country Code",
    "format": "string"
  },
  "estimated_time_to_delivery": {
    "label": "Estimated Time to Delivery",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "rating_count": {
    "label": "Rating Count",
    "format": "string"
  },
  "images": {
    "label": "Store Images",
    "format": "array"
  },
  "extraction_date": {
    "label": "Extraction Date",
    "format": "string"
  },
  "extraction_datetime": {
    "label": "Extraction Datetime",
    "format": "string"
  },
  "input": {
    "label": "Input",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Ubereats Stores Search By Location And Keyword](https://apify.com/datacach/ubereats-stores-search-by-location-and-keyword) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datacach/ubereats-stores-search-by-location-and-keyword) 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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/datacach/ubereats-stores-search-by-location-and-keyword.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).