UberEats Menu Scraper

Scrape full restaurant menus from UberEats. Provide one or more restaurant page URLs and this actor will extract all menu sections, items, prices, descriptions, and images — plus restaurant metadata like name, address, rating, and cuisine categories.

Features

• Extracts complete menus from UberEats restaurant pages
• One output record per menu item with full context (restaurant, section, price, image)
• Works with any UberEats restaurant URL globally
• Handles Cloudflare-protected pages via residential proxy

Input

Field	Type	Description
restaurantUrls	array	UberEats restaurant page URLs to scrape
maxItems	integer	Maximum number of menu items to collect

Example input:

{
  "restaurantUrls": [
    "https://www.ubereats.com/store/wendys-isabela/yucJTUkHWQaRH0b5IC8U9g",
    "https://www.ubereats.com/store/subway-1510-w-main-st/WZc_lVtEV1eGI_Y4jII5yg"
  ],
  "maxItems": 200
}

Finding restaurant URLs: Navigate to any restaurant on ubereats.com, open the restaurant page, and copy the URL from your browser. It will look like https://www.ubereats.com/store/{restaurant-name}/{id}.

Output

Each output record represents one menu item. All restaurant context is denormalized onto every record for easy analysis.

Field	Description
restaurant_id	Unique UberEats store UUID
restaurant_name	Restaurant display name
restaurant_url	UberEats store URL that was scraped
restaurant_rating	Average star rating
restaurant_rating_count	Number of ratings
restaurant_price_range	Price range indicator (e.g. $$)
restaurant_categories	Comma-separated cuisine/category tags
restaurant_address	Full street address
section_name	Menu section / category name (e.g. Burgers, Sides)
item_id	Unique menu item ID
item_name	Menu item name
item_description	Item description / ingredients
item_price	Price in USD (numeric)
item_price_formatted	Price as formatted string (e.g. $9.99)
item_image_url	URL of the item's thumbnail image
item_customizable	Whether the item has customization options
scraped_at	ISO 8601 timestamp

Example output record:

{
  "restaurant_id": "yucJTUkHWQaRH0b5IC8U9g",
  "restaurant_name": "Wendy's Isabela",
  "restaurant_url": "https://www.ubereats.com/store/wendys-isabela/yucJTUkHWQaRH0b5IC8U9g",
  "restaurant_rating": 4.8,
  "restaurant_rating_count": 37,
  "restaurant_price_range": "",
  "restaurant_categories": "Burgers",
  "restaurant_address": "BO MORA CARR 2 KM 111 Isabela PR, San Juan, 00662",
  "section_name": "Combos de Hamburger",
  "item_name": "Classic Sencillo Combo",
  "item_description": "Carne, Queso americano, mayonesa, ketchup, pepinillo, cebolla, tomate, lechuga",
  "item_price": 7.98,
  "item_price_formatted": "$7.98",
  "scraped_at": "2026-06-04T17:40:05.673Z"
}

Notes

• Menu data availability: Chain restaurants (McDonald's, Subway, Wendy's, etc.) reliably expose full menus via UberEats structured data. Some independent restaurants may not include menu data in their structured data — these are skipped with a warning in the run log.
• Rate limiting: UberEats uses Cloudflare to protect its pages. This actor uses residential proxies to bypass challenges. Scraping hundreds of restaurants in one run may slow down due to proxy session management.
• URL format: URLs must be full UberEats store URLs (https://www.ubereats.com/store/...). City or search pages are not supported.