Grubhub Scraper - Extract Restaurant Data, Menus & Reviews

Scrape comprehensive restaurant data from Grubhub including menus, pricing, ratings, and delivery details. Perfect for market research, competitive analysis, and food industry intelligence.

Why Use Grubhub Scraper?

Grubhub is one of the largest food delivery platforms in the US. This scraper enables you to:

• Research Restaurant Markets: Analyze dining options by location and cuisine
• Track Menu Pricing: Monitor competitor pricing strategies
• Compare Platforms: Cross-reference with DoorDash and UberEats data
• Build Restaurant Databases: Create comprehensive food service listings
• Analyze Trends: Identify cuisine trends and market opportunities

Features

Multi-Mode Scraping

• Search Mode: Find restaurants by cuisine and location
• Profile Mode: Extract detailed info from specific restaurant pages
• Menu Mode: Deep extraction of menu items and pricing

Cuisine Types Supported

• Pizza
• Chinese
• Mexican
• Italian
• Indian
• Thai
• Japanese (Sushi)
• American
• Mediterranean
• And more...

Data Extracted

Field	Description
Restaurant Name	Business name
Cuisine Types	Food categories
Address	Full address
Rating	Customer rating
Review Count	Total reviews
Delivery Fee	Base delivery cost
Minimum Order	Order minimum
Delivery Time	Estimated delivery
Price Level	$ to $$$$
Menu Categories	Menu sections
Menu Items	Individual dishes
Item Prices	Current pricing
Item Descriptions	Dish details
Dietary Tags	Vegetarian, vegan, gluten-free
Operating Hours	Restaurant hours

Input Configuration

Basic Search

{
  "scrapeType": "search",
  "searchTerm": "pizza",
  "location": "Chicago, IL",
  "maxResults": 100
}

Restaurant Profile

{
  "scrapeType": "restaurant_profile",
  "restaurantUrl": "https://www.grubhub.com/restaurant/restaurant-name-123456",
  "includeMenu": true
}

Cuisine-Filtered Search

{
  "scrapeType": "search",
  "searchTerm": "sushi",
  "location": "New York, NY",
  "cuisineType": "japanese",
  "includeMenu": true,
  "maxResults": 150
}

Output Format

{
  "restaurantName": "Chicago Deep Dish Pizza",
  "cuisineTypes": ["Pizza", "Italian"],
  "address": "789 Michigan Ave, Chicago, IL 60611",
  "rating": 4.6,
  "reviewCount": 1247,
  "deliveryFee": "$3.99",
  "minimumOrder": "$15.00",
  "deliveryTime": "30-45 min",
  "priceLevel": "$$",
  "menu": [
    {
      "category": "Deep Dish Pizzas",
      "items": [
        {
          "name": "Classic Deep Dish",
          "price": "$24.99",
          "description": "Chunky tomato sauce, mozzarella, choice of toppings",
          "dietaryTags": [],
          "sizes": ["Small", "Medium", "Large"]
        }
      ]
    },
    {
      "category": "Salads",
      "items": [
        {
          "name": "Caesar Salad",
          "price": "$8.99",
          "description": "Romaine, parmesan, croutons",
          "dietaryTags": ["vegetarian"]
        }
      ]
    }
  ],
  "operatingHours": {
    "monday": "11:00 AM - 11:00 PM",
    "friday": "11:00 AM - 1:00 AM"
  },
  "grubhubUrl": "https://www.grubhub.com/restaurant/..."
}

Use Cases

Competitive Pricing Intelligence

Monitor competitor menu prices and identify pricing opportunities.

Market Entry Research

Analyze restaurant saturation before opening new locations.

Menu Engineering

Compare menu structures and bestsellers across similar restaurants.

Food Industry Analytics

Generate reports on cuisine trends and market dynamics.

Franchise Analysis

Track chain restaurant performance across different markets.

Demo Mode

Enable demoMode: true to test with sample data. Ideal for testing integrations and understanding the output format.

Pricing

Pay-per-result pricing:

• $0.003 per restaurant listing
• $0.001 per menu item extracted

Example: 100 restaurants with 40 menu items each = $4.30

Tips for Best Results

1. Valid Delivery Address: Use a real address for accurate results
2. Filter by Cuisine: Target specific cuisines for focused analysis
3. Menu Extraction: Enable only when pricing data is needed
4. Schedule Regular Runs: Menu prices change frequently

Frequently Asked Questions

What locations are supported?

All Grubhub delivery areas in the United States.

Can I compare with DoorDash data?

Yes, use both scrapers and compare by restaurant name/address.

How do I track menu changes?

Run scheduled scrapes and compare results using Apify datasets.

What about promotional pricing?

Promotional prices are captured when available in the listing.

Related Actors

• DoorDash Scraper - Compare platform data
• Yelp Scraper - Restaurant reviews

Support

• Documentation: Full input schema available in the Input tab
• Issues: Report bugs via Apify support

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Built by John Rippy - 2025 Zapier Automation Hero of the Year

Power your food industry research with comprehensive Grubhub data.