# Dunkin' Iced Coffee Menu Calories: Sizes and Nutrition List

**Use case:** 

Dunkin' iced coffee menu calories in one table, covering the Iced Coffee, Espresso and Cold Brew category. Each row shows the drink, its calorie count, and the size options, so health-minded customers and dietitians can compare drinks quickly. Change the category to Hot Drinks or Donuts, Bagels and Bakery to check calories for other menu items.

## Input

```json
{
  "categories": [
    "Iced Coffee, Espresso & Cold Brew"
  ],
  "searchTerm": "",
  "minCalories": 0,
  "fetchDetails": true,
  "maxItems": 10,
  "onlyNewOrChanged": false,
  "stateName": "default",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

## Output

```json
{
  "itemName": {
    "label": "Item",
    "format": "string"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "calories": {
    "label": "Calories",
    "format": "string"
  },
  "sizeOptions": {
    "label": "Sizes",
    "format": "array"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Dunkin' Donuts Menu Scraper: Items, Nutrition & Category Data Actor is ready to run with the inputs already set for "Dunkin' Iced Coffee Menu Calories: Sizes and Nutrition List". [Sign up or log in](https://console.apify.com/create-task-from-example/dPL6G8Q33G2jv7Hbz) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Dunkin' Iced Coffee Menu Calories: Sizes and Nutrition List" task

The Dunkin' Donuts Menu Scraper: Items, Nutrition & Category Data Actor will start running based on the input automatically. You can also change all the input fields, like menu categories, minimum calories, and more, to match your specific use case.

### 3. Receive the "Dunkin' Iced Coffee Menu Calories: Sizes and Nutrition List" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as item, category, calories, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Dunkin' Iced Coffee Menu Calories: Sizes and Nutrition List" task via API](https://apify.com/getascraper/dunkin-menu-scraper.md).

## About this Actor

This example demonstrates how to use [Dunkin' Donuts Menu Scraper: Items, Nutrition & Category Data](https://apify.com/getascraper/dunkin-menu-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/dunkin-menu-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).