McDonald's Menu & Nutrition Scraper

Overview

Scrapes McDonald's US menu items with complete nutrition data via DNA API. Extracts calories, protein, carbs, fat, sodium, ingredients, and allergens.

Features

• Search by keywords to find specific results
• Export data in JSON, CSV, or Excel formats
• 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
maxItems	integer	Maximum number of menu items to scrape	200
proxyConfiguration	object	Proxy configuration for the crawler	{...}

Output Example

Each result contains structured data like this:

{
  "name": "McDonald's Menu & Nutrition Sample Item",
  "category": "Standard",
  "calories": "Sample calories",
  "protein": "Sample protein",
  "carbohydrates": "Sample carbohydrates",
  "totalFat": "Sample totalFat",
  "sodium": "Sample sodium",
  "ingredients": [
    "flour",
    "sugar",
    "butter",
    "eggs"
  ],
  "allergens": "Sample allergens",
  "url": "https://example.com/item/12345"
}

Pricing

This actor uses pay-per-result pricing:

• $0.001 per result
• $1.00 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 McDonald's Menu & Nutrition Scraper 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~mcdonalds-menu-scraper/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/mcdonalds-menu-scraper").call(
    run_input={"maxItems": 10}
)

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

Integration

Connect McDonald's Menu & Nutrition Scraper 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