# Uber Eats Chile Burger Menu Data Scraper

**Use case:** 

Scrape Uber Eats burger restaurant menus in Chile each month. Helps LATAM franchise teams benchmark item prices and menu breadth against competitors.

## Input

```json
{
  "store_urls": [
    "https://www.ubereats.com/cl/store/mcdonalds-arica/6FJD4mGdRP-dh65ptQMgPA"
  ],
  "country_code": "cl"
}
```

## Output

```json
{
  "store_id": {
    "label": "Store ID"
  },
  "store_url": {
    "label": "Store URL",
    "format": "link"
  },
  "section_name": {
    "label": "Section"
  },
  "subsection_name": {
    "label": "Subsection"
  },
  "menu_item_name": {
    "label": "Item Name"
  },
  "menu_item_price": {
    "label": "Price (raw)"
  },
  "menu_item_price_promotion": {
    "label": "Promo Price"
  },
  "menu_item_description": {
    "label": "Description"
  },
  "menu_item_image": {
    "label": "Image URL"
  },
  "country_code": {
    "label": "Country"
  },
  "extraction_date": {
    "label": "Extracted On"
  }
}
```

## About this Actor

This example demonstrates how to use [UberEats Menu Scraper + Analytics](https://apify.com/datacach/ubereats-menu-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datacach/ubereats-menu-scraper) to learn more, explore other use cases, and run it yourself.