UberEats Scraper — 100 Free | Restaurants, Menus & Prices

Scrape UberEats restaurants, complete menus with prices, ratings, hours, and locations. Discover nearby restaurants or extract full store details. HTTP-only, fast, reliable.

💰 Pricing

• 100 free results — lifetime, no credit card needed
• After that: $2 per 1,000 results (pay-per-event)
• Discover mode: 1 result = 1 restaurant listing
• Store mode: 1 result = 1 full store with complete menu

Results	Cost
100	Free
1,000	$2
10,000	$20
100,000	$200

🔍 What can you scrape?

Discover Mode

• Restaurant names, cuisine types, phone numbers
• Full addresses with city, state, zip
• Store URLs for deeper scraping

Store Mode

• Full restaurant details (name, cuisine, rating, reviews, price range)
• Complete menu with sections, item names, descriptions, and USD prices
• Opening hours, geo coordinates (lat/lng)
• Images, phone numbers, addresses

📥 Input

Field	Type	Default	Description
urls	string[]	["https://www.ubereats.com/near-me"]	Store URLs, location pages, or cuisine keywords
mode	enum	auto-detect	Override: discover, store
maxResults	integer	50	Max results. 0 = unlimited

Auto-Detection

• https://ubereats.com/store/... → store
• https://ubereats.com/near-me → discover
• pizza, chinese, sushi → discover

Example Input

{
    "urls": ["https://www.ubereats.com/store/jessies-breakfast/UAVHGNSBQCeqhKzEtis3SQ"],
    "mode": "store",
    "maxResults": 10
}

📤 Output

Store Record

{
    "type": "store",
    "name": "Jessie's Breakfast",
    "cuisine": ["Mexican", "Latin American"],
    "rating": 4.5,
    "reviewCount": 600,
    "priceRange": "$$",
    "address": "123 Main St",
    "city": "San Francisco",
    "state": "CA",
    "latitude": 37.7515,
    "longitude": -122.4182,
    "menuSections": 9,
    "menuItemCount": 91,
    "menu": [
        {
            "section": "Mains",
            "name": "HUEVOS ALA MEXICANA",
            "description": "Tomatoes, onions, spinach eggs...",
            "price": 24.99,
            "currency": "USD"
        }
    ],
    "storeUrl": "https://www.ubereats.com/store/jessies-breakfast/UAVHGNSBQCeqhKzEtis3SQ"
}

💡 Use Cases

• Restaurant market research — Compare menus and pricing across competitors
• Food delivery analytics — Track restaurant availability and ratings by area
• Menu price monitoring — Monitor price changes across restaurants
• Lead generation — Build restaurant contact lists with phone and address
• Location intelligence — Map restaurant density and cuisine distribution

⚡ Tips

• Use cuisine keywords like "pizza", "chinese", "sushi" to discover restaurants by food type
• Combine discover mode to find restaurants, then store mode for full menu extraction
• The /near-me page returns results based on IP geolocation
• Empty input defaults to /near-me discover mode (for Apify daily health checks)
• Store mode includes complete menus with every item and price