UberEats Menu Scraper

Extract complete restaurant menus from UberEats — including every section, item, price, description, and image. Get restaurant details like rating, delivery fee, address, and cuisine types in seconds. Built for market research, menu databases, price monitoring, and competitor analysis.

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What data does it extract?

Field	Description
restaurantId	UberEats unique store ID
restaurantName	Restaurant display name
restaurantUrl	Direct link to the restaurant on UberEats
heroImageUrl	Restaurant banner image URL
rating	Average star rating
ratingCount	Number of customer ratings
priceRange	Price tier ($, $$, $$$)
cuisines	Cuisine category tags (e.g. ["Burgers", "Fast Food"])
isOpen	Whether currently open for delivery
address	Street address
city	City
deliveryFee	Delivery fee (e.g. Free, $0.49)
estimatedDeliveryTime	Estimated delivery time (e.g. 15–25 min)
menu	Full nested menu: sections → items
menu[].sectionName	Section name (e.g. Burgers, Drinks, Sides)
menu[].items[].name	Item name
menu[].items[].description	Item description (when available)
menu[].items[].price	Price in local currency (e.g. 5.99)
menu[].items[].currency	ISO currency code (e.g. USD, GBP)
menu[].items[].imageUrl	Item photo URL
menu[].items[].isAvailable	Whether currently available
menuSectionCount	Total number of menu sections
menuItemCount	Total number of menu items
itemsWithImageCount	Number of items that have a photo
itemsWithDescCount	Number of items that have a description
scrapedAt	UTC timestamp of when data was collected

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How to use

1. Open UberEats and navigate to a restaurant page
2. Copy the URL from your browser's address bar (e.g. https://www.ubereats.com/store/mcdonalds-fillmore/P21H_Lf3Se2wSmjGHfoFcQ)
3. Paste the URL into the Restaurant URLs input field
4. Select the Country that matches the restaurant's location
5. Set Max Items Per Restaurant if you want to limit results
6. Click Start — your menu data appears in the dataset within seconds

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Input parameters

Parameter	Type	Required	Default	Description
restaurantUrls	List of URLs	Yes	—	UberEats restaurant page URLs to scrape
maxItemsPerRestaurant	Integer	No	200	Maximum menu items extracted per restaurant (1–2000)
country	Select	No	us	Country context for the delivery API (us, gb, au, ca, in)

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Example output

{
  "restaurantId": "3f6d47fc-b7f7-49ed-b04a-68c61dfa0571",
  "restaurantName": "McDonald's® (Fillmore)",
  "restaurantUrl": "https://www.ubereats.com/store/mcdonalds-fillmore/P21H_Lf3Se2wSmjGHfoFcQ",
  "heroImageUrl": "https://d3i4yxtzktqr9n.cloudfront.net/...",
  "rating": 4.5,
  "ratingCount": "15000+",
  "priceRange": "$",
  "cuisines": ["American", "Burgers", "Fast Food"],
  "isOpen": true,
  "address": "1100 Fillmore St, San Francisco, CA 94115",
  "city": "San Francisco",
  "deliveryFee": "Free",
  "estimatedDeliveryTime": "15–25 min",
  "menuSectionCount": 8,
  "menuItemCount": 52,
  "itemsWithImageCount": 52,
  "itemsWithDescCount": 0,
  "menu": [
    {
      "sectionName": "Burgers",
      "items": [
        {
          "itemId": "abc-uuid",
          "name": "Big Mac",
          "price": 5.99,
          "currency": "USD",
          "imageUrl": "https://d3i4yxtzktqr9n.cloudfront.net/...",
          "isAvailable": true
        }
      ]
    }
  ],
  "scrapedAt": "2026-04-14T10:00:00Z"
}

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Use cases

• Competitive intelligence — Monitor competitor menus and pricing across cities
• Menu database — Build a structured database of restaurant menus at scale
• Price monitoring — Track price changes over time with scheduled daily runs
• Market analysis — Analyse cuisine trends and menu composition by region
• Restaurant onboarding — Import menu data into your own ordering or review platform
• Food tech research — Study menu diversity, item availability, and pricing patterns

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FAQ

Which countries are supported?
United States (us), United Kingdom (gb), Australia (au), Canada (ca), and India (in). Always select the country that matches the restaurant's physical location for best results.

Can I scrape multiple restaurants at once?
Yes — add as many URLs as you need to the restaurantUrls list. Each restaurant produces one output record. Restaurants are processed one at a time with a short polite delay between requests.

How do I find a restaurant's URL?
Go to ubereats.com, search for the restaurant, open its page, and copy the URL from your browser's address bar. The URL will look like: https://www.ubereats.com/store/<name>/<id>.

Are item descriptions always available?
No — UberEats restaurants often omit item descriptions. The itemsWithDescCount field tells you how many items in a restaurant's menu include descriptions. Images are much more commonly available.

How fresh is the data?
Data is fetched live from UberEats at the time the actor runs. Use Apify's scheduling feature to run it daily for up-to-date menu and pricing data.

Does this require a proxy or login?
No. The actor uses UberEats' public API with no authentication, login, or proxy required.

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Legal

This actor is for informational and research purposes only. Use in compliance with UberEats Terms of Service and all applicable laws. Do not use to harm UberEats, its restaurant partners, or for unauthorized commercial data resale.