Uber Eats Restaurant Scraper

'Extract Restaurant Data from Uber Eats for Market Research'

by John Rippy | johnrippy.link

2025 Zapier Automation Hero of the Year — Project Phoenix: A 95-step AI sales pipeline cutting development time by 50%. Read more →

Scrape Uber Eats for restaurant listings, menus, prices, ratings, and delivery information. Perfect for food delivery market research, competitor analysis, and restaurant discovery.

Features

• Restaurant Search - Search by cuisine, restaurant name, or food type
• Menu Extraction - Get full menu items with prices and descriptions
• Ratings & Reviews - Extract ratings and review counts
• Delivery Info - Delivery fees, time estimates, and Uber One eligibility
• Multi-Cuisine Support - Filter by 13+ cuisine types
• Demo Mode - Test with sample data before scraping

Quick Start (Demo Mode)

Run the actor with default settings to see sample restaurant data:

{
"demoMode": true,
"searchTerm": "pizza",
"location": "San Francisco, CA",
"cuisineType": "all",
"maxResults": 20
}

Search for Restaurants

{
"demoMode": false,
"scrapeType": "search",
"searchTerm": "sushi",
"location": "New York, NY",
"cuisineType": "japanese",
"maxResults": 50,
"includeMenu": true
}

Scrape Specific Restaurant

{
"demoMode": false,
"scrapeType": "store_profile",
"storeUrl": "https://www.ubereats.com/store/restaurant-name",
"includeMenu": true
}

Input Parameters

Cuisine Types

• all - All cuisines
• american - American food
• chinese - Chinese cuisine
• mexican - Mexican food
• italian - Italian cuisine
• japanese - Japanese/Sushi
• indian - Indian cuisine
• thai - Thai food
• fast_food - Fast food
• pizza - Pizza places
• burgers - Burger joints
• healthy - Healthy options
• breakfast - Breakfast/Brunch

Output

Each restaurant record includes:

{
"name": "Sakura Sushi",
"url": "https://www.ubereats.com/store/sakura-sushi",
"address": "123 Main St",
"city": "San Francisco",
"state": "CA",
"zipCode": "94102",
"cuisineType": "Japanese",
"cuisineTypes": ["Japanese", "Sushi", "Asian"],
"rating": 4.7,
"reviewCount": 234,
"priceRange": "$$",
"deliveryFee": 2.99,
"deliveryTime": "25-35 min",
"uberOneEligible": true,
"isOpen": true,
"menu": [
{
"name": "Dragon Roll",
"description": "Eel, avocado, cucumber with eel sauce",
"price": 16.99,
"category": "Sushi Rolls"
}
],
"scrapedAt": "2024-01-15T10:30:00.000Z"
}

Use Cases

1. Competitive Analysis - Research restaurant pricing and menus in your area

2. Market Research - Analyze food delivery trends by cuisine type

3. Restaurant Discovery - Find top-rated restaurants in any location

4. Menu Comparison - Compare prices across similar restaurants

5. Local SEO - Build citation data for food service businesses

Integration with Citation God Mode

This actor integrates with our Citation God Mode actor for comprehensive local business citation checking. When scanning food service businesses, Citation God Mode automatically uses this dedicated scraper for more reliable Uber Eats data.

Pro Tips

1. Start in Demo Mode - Test your configuration before actual scraping

2. Use Specific Searches - Narrow searches produce more relevant results

3. Include Menu Data - Set includeMenu: true for full restaurant profiles

4. Respect Rate Limits - Keep maxResults reasonable for stable operation

5. Combine with Other Scrapers - Use with DoorDash and Grubhub scrapers for complete market coverage

Support

Having issues? Report bugs at the actor's issues page.

Built with Playwright and Apify SDK for reliable food delivery platform scraping.