# Uber Eats NY Home and Electronics Scraper

**Use case:** 

Extract full Uber Eats menus from 6 home and electronics stores in New York, with item names, prices, descriptions, menu sections and product image URLs.

## Input

```json
{
  "store_urls": [
    "https://www.ubereats.com/store/staples-5-union-square-west/xnO_YHO1Ul-xGL_DRTdfSg",
    "https://www.ubereats.com/store/staples-800-3rd-ave/woh5m0A1WQKSVXmb2AuCYw",
    "https://www.ubereats.com/store/ace-hardware-1449-1st-ave/IaLRRGAcU9yP-x9nfu2r0Q",
    "https://www.ubereats.com/store/flowers-plants-and-gifts/eMg0UPIpVcq_j8mKODA8iA",
    "https://www.ubereats.com/store/the-home-depot-410-east-61st-street/xPna_fMDWaSoEgbAgYQL8A",
    "https://www.ubereats.com/store/ace-hardware-217-w-broadway/MXcY7cucVIWpTjGyjwkN0w"
  ],
  "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.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/datacach/ubereats-menu-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).
