# Burger King Uber Eats reviews sample

**Use case:** 

Public Uber Eats review sample for a Burger King storefront. Rating plus latest comments.

## Input

```json
{
  "storeUrls": [
    {
      "url": "https://www.ubereats.com/fr/store/burger-king-epagny/ZOjYdsqgQcqPQ5q40GJoXQ"
    }
  ],
  "maxStores": 1,
  "maxReviewsPerStore": 0
}
```

## Output

```json
{
  "storeUrl": {
    "label": "Store URL",
    "format": "link"
  },
  "storeId": {
    "label": "Store ID",
    "format": "text"
  },
  "storeName": {
    "label": "Store name",
    "format": "text"
  },
  "aggregateRatingValue": {
    "label": "Store rating",
    "format": "number"
  },
  "aggregateReviewCount": {
    "label": "Total ratings",
    "format": "number"
  },
  "reviewUuid": {
    "label": "Review UUID",
    "format": "text"
  },
  "eaterName": {
    "label": "Customer",
    "format": "text"
  },
  "reviewText": {
    "label": "Review text",
    "format": "text"
  },
  "createdAt": {
    "label": "Created at",
    "format": "text"
  },
  "rating": {
    "label": "Review rating",
    "format": "number"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Uber Eats Reviews · Reputation Monitoring](https://apify.com/corent1robert/uber-eats-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/corent1robert/uber-eats-reviews-scraper.md) 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.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/corent1robert/uber-eats-reviews-scraper.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).
