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URL: https://apify.com/jungle_synthesizer/ubereats-menu-scraper

โ‡ฑ UberEats Menu Scraper ยท Apify


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Pay per event

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UberEats Menu Scraper

Scrape full restaurant menus from UberEats. Extract restaurant info, all menu sections, items with prices, descriptions, and images.

Pricing

Pay per event

Rating

0.0

(0)

Developer

๐Ÿ‘ BowTiedRaccoon

BowTiedRaccoon

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

12 days ago

Last modified

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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 โ€” 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

FieldTypeDescription
restaurantUrlsarrayUberEats restaurant page URLs to scrape
maxItemsintegerMaximum 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.

FieldDescription
restaurant_idUnique UberEats store UUID
restaurant_nameRestaurant display name
restaurant_urlUberEats store URL that was scraped
restaurant_ratingAverage star rating
restaurant_rating_countNumber of ratings
restaurant_price_rangePrice range indicator (e.g. $$)
restaurant_categoriesComma-separated cuisine/category tags
restaurant_addressFull street address
section_nameMenu section / category name (e.g. Burgers, Sides)
item_idUnique menu item ID
item_nameMenu item name
item_descriptionItem description / ingredients
item_pricePrice in USD (numeric)
item_price_formattedPrice as formatted string (e.g. $9.99)
item_image_urlURL of the item's thumbnail image
item_customizableWhether the item has customization options
scraped_atISO 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 โ€” 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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