Burger King - Menu Items, Prices, Nutrition & Calories

Overview

Scrape Burger King menu data with store-specific PRICES, nutrition facts, calories, and item descriptions. Give it a US ZIP code and it finds the nearest Burger King and returns that restaurant's own pickup and delivery prices (prices vary by franchise location).

Features

• Search by keywords to find specific results
• Export data in JSON, CSV, or Excel formats
• Captures pricing information
• Includes location and address data
• Control output volume with configurable result limits
• Built-in proxy support for reliable data collection

Use Cases

• Monitor - Monitor competitor menu prices and offerings
• Aggregate - Aggregate restaurant data for food delivery platforms
• Track - Track menu changes and seasonal offerings across chains
• Build - Build restaurant databases for market research and analytics

Input Parameters

Parameter	Type	Description	Default
zipCode	string	US zip code to find nearest store for pricing (e.g., '90210'). Prices vary by...	90210
categories	array	Menu categories to scrape (leave empty for all)	[]
includeNutrition	boolean	Whether to include detailed nutrition information	true
maxItems	integer	Maximum number of menu items to scrape	10
proxyConfiguration	object	Proxy settings for the crawler	{...}

Output Example

Each result contains structured data like this:

{
  "name": "Texas Whopper® Meal Medium",
  "product": "Texas Whopper®",
  "category": "Flame Grilled Burgers",
  "price": 15.28,
  "deliveryPrice": 19.79,
  "calories": 1480,
  "description": "...",
  "image": "https://cdn.sanity.io/images/kjfd81ul/prod_bk_us/....png",
  "itemType": "COMBO",
  "itemId": "combo_1234",
  "available": true,
  "dayParts": ["Main Menu"],
  "nutrition": { "carbohydrates": 24, "fat": 12, "proteins": 10, "sodium": 790 },
  "allergens": { "milk": "_3", "wheat": "_3" },
  "storeId": "5596",
  "storeAddress": "7079 Sunset Boulevard",
  "storeCity": "HOLLYWOOD",
  "storeState": "CA",
  "storeZip": "90028-7509",
  "storePhone": "2135841595",
  "storeDistanceMiles": 3.6,
  "searchZipCode": "90210",
  "scrapedAt": "2026-09-28T16:15:04.643Z"
}

Pricing

This actor uses pay-per-result pricing:

• $0.0035 per result
• $3.50 per 1,000 results

No monthly fees. You only pay for what you scrape. Apify Free plan includes $5/month in platform credits.

How to Run

Apify Console

1. Go to the Burger King - Menu Items, Prices, Nutrition & Calories actor page
2. Configure your input parameters
3. Click Start and wait for the results
4. Download data in JSON, CSV, or Excel format

API

curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~burgerking-menu-prices-nutrition-calories/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 10}'

Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("fortuitous_pirate/burgerking-menu-prices-nutrition-calories").call(
    run_input={"maxItems": 10}
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Integration

Connect Burger King - Menu Items, Prices, Nutrition & Calories with your existing tools and workflows:

• API access - Programmatic access via Apify API
• Webhooks - Get notified when scraping completes
• Scheduling - Set up recurring runs on any schedule
• Zapier / Make - Connect with 5,000+ apps via Apify integrations
• Python / Node.js SDKs - Native client libraries for easy integration