Restaurant Menu Scraper

Scrapes restaurant data and detailed menus from MenuPages.com (powered by Grubhub).

Features

• Scrapes restaurant listings by city and state
• Extracts detailed menu items with prices and descriptions
• Optional cuisine type filtering
• Outputs structured JSON data

Data Collected

For each restaurant:

Field	Description
name	Restaurant name
fullAddress	Complete address string
address	Structured address (street, city, state, zip)
phone	Contact phone number
cuisineTypes	Array of cuisine categories
priceRange	Price indicator ($, $$, $$$)
coordinates	Latitude and longitude
image	Restaurant image URL
menu.sections	Menu sections with items
menu.totalItems	Total menu items count

For each menu item:

• name - Item name
• description - Item description
• price - Price (numeric)
• currency - Currency code (USD)

Input Configuration

{
    "city": "new-york",
    "state": "ny",
    "cuisineType": "italian",
    "maxResults": 50,
    "includeMenuItems": true
}

Parameters

Parameter	Type	Default	Description
city	string	"new-york"	City slug (lowercase, hyphenated)
state	string	"ny"	Two-letter state code
cuisineType	string	null	Filter by cuisine (optional)
maxResults	integer	50	Maximum restaurants to scrape
includeMenuItems	boolean	true	Include detailed menu items

Supported Cities

Common examples:

• ny-new-york (New York)
• ny-brooklyn (Brooklyn)
• il-chicago (Chicago)
• ca-los-angeles (Los Angeles)
• ca-san-francisco (San Francisco)
• pa-philadelphia (Philadelphia)
• fl-miami (Miami)
• tx-houston (Houston)
• wa-seattle (Seattle)
• nv-las-vegas (Las Vegas)
• ma-boston (Boston)

Example Output

{
    "name": "Joe's Pizza",
    "url": "https://menupages.com/joes-pizza/123-main-st-new-york",
    "fullAddress": "123 Main St, New York, NY 10001",
    "address": {
        "street": "123 Main St",
        "city": "New York",
        "state": "NY",
        "postalCode": "10001",
        "country": "US"
    },
    "phone": "+12125551234",
    "cuisineTypes": ["Pizza", "Italian"],
    "priceRange": "$$",
    "coordinates": {
        "latitude": 40.7128,
        "longitude": -74.0060
    },
    "menu": {
        "sections": [
            {
                "name": "Pizzas",
                "items": [
                    {
                        "name": "Margherita",
                        "description": "Fresh mozzarella, tomato sauce, basil",
                        "price": "18.00",
                        "currency": "USD"
                    }
                ]
            }
        ],
        "totalSections": 5,
        "totalItems": 42
    },
    "scrapedAt": "2026-01-31T12:00:00.000Z"
}

Usage

On Apify Platform

1. Go to the actor page
2. Configure input parameters
3. Run the actor
4. Download results from the Dataset tab

Locally

npm install
npm start

Set input via INPUT.json file or environment variables.

Rate Limits

The scraper uses reasonable concurrency (5 requests) to avoid overloading the source. For large-scale scraping, consider using Apify proxies.

Legal Notice

This scraper collects publicly available data. Please review MenuPages' Terms of Service and robots.txt before use. Use responsibly.