# Uber Eats Monterrey Carne Asada Delivery Scan

**Use case:** 

Scan carne asada and grill restaurants delivering across Monterrey, San Pedro and San Nicolas on Uber Eats, with ratings and delivery time estimates.

## Input

```json
{
  "locations": [
    "Av. Morones Prieto 2805, Centro, 64000 Monterrey, N.L., Mexico",
    "Av. Gomez Morin 955, Montebello, 66279 San Pedro Garza Garcia, N.L., Mexico",
    "Av. Universidad 1001, Anahuac, 66450 San Nicolas de los Garza, N.L., Mexico"
  ],
  "search_keyword": "Carne Asada",
  "max_search_results": 50
}
```

## 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.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
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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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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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).
