# Uber Eats Ashburn Convenience Store Menu Prices

**Use case:** 

Extract full Uber Eats menus from 9 convenience store stores in Ashburn, with item names, prices, descriptions, menu sections and product image URLs.

## Input

```json
{
  "store_urls": [
    "https://www.ubereats.com/store/royal-farms-43101-van-metre-drive/hgQP3BIjTMW58xpd-Wlpsw",
    "https://www.ubereats.com/store/sunoco-battlefield-1017-edwards-ferry-rd/bQsxoCscU0SmyKbH8_fc8A",
    "https://www.ubereats.com/store/wawa-45950-russell-branch-parkway/48CxNVtDWFaACpn0KcBfag",
    "https://www.ubereats.com/store/7-eleven-20630-ashburn-rd/3DNFz-ASQ6yKg7do1kfZMw",
    "https://www.ubereats.com/store/sunoco-wiilard-road/0WS1EP7AW-CRRxoAlWpYwQ",
    "https://www.ubereats.com/store/rocs-78-somerset-boulevard/StIjFiNdU2WhkzWr0pdgSw",
    "https://www.ubereats.com/store/wawa-23055-oakgrove-rd/ZDgG5lE6Qc-fnXsC-x1rVg",
    "https://www.ubereats.com/store/fairlakes-convenience-powered-by-lula/Q5-e84DZWom7hLgzOCmjXg",
    "https://www.ubereats.com/store/7-eleven-21880-ryan-center-way/vA0TapGLTm2DOh8cSPvo6Q"
  ],
  "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.


## 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/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).