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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

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