# Uber Eats QSR Competitor Store URL Scraper

**Use case:** 

Scrape store URLs for competing quick-service brands in one Uber Eats run. For market research teams building comparable chain expansion location datasets.

## Input

```json
{
  "brand_urls": [
    "https://www.ubereats.com/brand/mcdonalds",
    "https://www.ubereats.com/brand/burger-king",
    "https://www.ubereats.com/brand/subway",
    "https://www.ubereats.com/brand/starbucks"
  ],
  "max_results": 10
}
```

## Output

```json
{
  "store_url": {
    "label": "Store URL",
    "format": "string"
  },
  "store_slug": {
    "label": "Store Slug",
    "format": "string"
  },
  "store_name": {
    "label": "Store Name",
    "format": "string"
  },
  "parent_url": {
    "label": "Parent URL",
    "format": "string"
  },
  "region_code": {
    "label": "Region Code",
    "format": "string"
  },
  "city_code": {
    "label": "City Code",
    "format": "string"
  },
  "country_code": {
    "label": "Country Code",
    "format": "string"
  },
  "main_task_started": {
    "label": "Main Task Started",
    "format": "string"
  },
  "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 Discovery By Brand URL](https://apify.com/datacach/ubereats-stores-discovery-by-brand-url) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datacach/ubereats-stores-discovery-by-brand-url) to learn more, explore other use cases, and run it yourself.