# Uber Eats San Francisco Menu Price Monitor

**Use case:** 

Scrape Uber Eats fast food menus in San Francisco every week. Lets restaurant analysts track menu inflation, promos and item pricing shifts over time.

## Input

```json
{
  "store_urls": [
    "https://www.ubereats.com/store/mcdonalds-fillmore/209c6d0b-8bf5-579c-926b-436bd3bf839c"
  ],
  "country_code": "us"
}
```

## 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.