Uber Eats Restaurant Scraper

Web Scraping

This actor extracts data from websites. It handles JavaScript rendering, pagination, and anti-bot measures automatically.

Note: Always respect the website's terms of service and robots.txt.

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Web Scraping

This actor extracts data from websites. It handles JavaScript rendering, pagination, and anti-bot measures automatically.

Note: Always respect the website's terms of service and robots.txt.

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Scrape Uber Eats for restaurant listings, menus, prices, ratings, and delivery info. Extract restaurant data for food delivery market research. Built by John Rippy (https://www.linkedin.com/in/johnrippy/).

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

{
  "url": "https://example.com",
  "maxResults": 100
}

Demo Mode

Set demoMode: true to test with sample data (no charges). When you're ready for real results, set demoMode: false or omit it.

{
  "demoMode": true,
  ...
}

Input Parameters

Parameter	Type	Default	Description
scrapeType	string	"search"	Type: "store_profile", "search", or "menu"
storeUrl	string	-	Direct Uber Eats store URL
searchTerm	string	"pizza"	Restaurant name, cuisine, or food type
location	string	"San Francisco, CA"	Delivery location
cuisineType	string	"all"	Filter by cuisine type
includeMenu	boolean	true	Extract menu items and prices
maxResults	integer	50	Maximum restaurants to scrape (1-500)
proxyConfiguration	object	Apify Proxy	Proxy settings
demoMode	boolean	true	Return sample data without scraping

Output Format

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"
}

Pricing

This actor uses pay-per-event billing:

• data_point: $0.01 per result

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

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Common Problems & Solutions

"Invalid API key" error

Cause: Your API key is wrong, expired, or doesn't have the right permissions. Fix: Double-check your API key. Make sure you copied it exactly without extra spaces.

"Rate limit exceeded" error

Cause: You've hit the API's rate limits. Fix: Wait a few minutes, then try again. Consider reducing the number of concurrent requests.

Empty or incomplete results

Cause: The target may have anti-scraping protection or the data doesn't exist. Fix:

• Check if the URL/search query is correct
• Try with different parameters
• Some sites may block automated access

Demo data showing instead of real results

Cause: demoMode is still set to true. Fix: Set demoMode: false and provide your API key(s).

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Built by John Rippy | Actor Arsenal