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UberEats Menu Scraper

ECOMMERCEAUTOMATION
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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.
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