Grubhub Restaurant Scraper

Overview

The Grubhub Restaurant Scraper is an Apify actor that extracts restaurant listing data from Grubhub, one of the leading food delivery platforms in the United States. It collects restaurant names, cuisine types, ratings, price levels, delivery fees, minimum order amounts, menu items, and operating hours for comprehensive food delivery market analysis.

Features

• Search restaurants by location and cuisine type
• Extract restaurant ratings and price level indicators
• Collect delivery fees and minimum order requirements
• Gather menu item data and operating hours
• Support for all cuisine categories available on Grubhub
• Configurable result limits for targeted data collection

Input Configuration

The actor accepts the following input parameters:

• location - City or address to search restaurants near (e.g., New York, NY). Defaults to New York, NY.
• cuisine - Cuisine type to filter by (e.g., pizza, chinese, sushi, burgers). Defaults to pizza.
• maxRestaurants - Maximum number of restaurants to scrape. Defaults to 20.

Output Format

Each restaurant entry in the output dataset includes:

• restaurantName - Name of the restaurant
• cuisineType - Primary cuisine type
• rating - Average customer rating
• priceLevel - Price level indicator ($, $$, $$$)
• deliveryFee - Delivery fee amount
• minimumOrder - Minimum order requirement
• menuItems - Sample menu items
• hours - Operating hours
• location - Search location
• url - Grubhub restaurant page URL
• scrapedAt - Data extraction timestamp

Use Cases

This scraper serves food delivery market analysts comparing restaurant ecosystems across cities, restaurant owners monitoring competitor offerings and pricing on delivery platforms, food industry consultants advising clients on delivery market entry, marketing agencies researching food delivery trends, and data scientists building datasets for delivery market prediction models. The delivery fee and minimum order data is particularly useful for competitive analysis.

Cost and Performance

The actor runs efficiently on minimal memory (256 MB) and completes in minutes. Billing follows Apify platform pricing with pay-per-event at $0.75 per 1,000 results, making it very affordable for regular monitoring and research tasks.

Integrations

Export Grubhub data using Apify integrations to Google Sheets, databases, Slack, Zapier, or REST APIs. The structured JSON output works seamlessly with data analysis tools, dashboards, and automated reporting workflows.

Tips and Troubleshooting

• Use full city names with state abbreviation for best location matching (e.g., "Chicago, IL")
• Popular cuisine types include pizza, chinese, mexican, sushi, thai, indian, and burgers
• Start with a small maxRestaurants value to test your configuration
• For comprehensive coverage of a market, run multiple searches with different cuisine types