# Uber Eats Queretaro Sushi Delivery Tracker

**Use case:** 

Track sushi restaurants delivering across Queretaro on Uber Eats, from Centro to Juriquilla, with ratings, review counts and delivery time estimates.

## Input

```json
{
  "locations": [
    "Av. 5 de Febrero 99, Centro, 76000 Santiago de Queretaro, Qro., Mexico",
    "Blvd. Bernardo Quintana 4100, Alamos 3ra Secc, 76160 Santiago de Queretaro, Qro., Mexico",
    "Anillo Vial Fray Junipero Serra 7901, Juriquilla, 76230 Santiago de Queretaro, Qro., Mexico"
  ],
  "search_keyword": "Sushi",
  "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).
