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🍴Uber Eats Scraper [RENTAL]

Pricing

$35.00/month + usage

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🍴Uber Eats Scraper [RENTAL]

Rental - Fast and cost-effective Uber Eats Scraper requiring just a search query and location or by url. Instantly retrieve comprehensive restaurant data, including names, ratings, locations, reviews and menus. Seamlessly integrates with tools like n8n, and more, offering a highly efficient solution

Pricing

$35.00/month + usage

Rating

4.7

(5)

Developer

πŸ‘ borderline

borderline

Maintained by Community

Actor stats

19

Bookmarked

299

Total users

5

Monthly active users

0.33 hours

Issues response

14 days ago

Last modified

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πŸš€ Uber Eats Scraper Actor | Rental version

πŸŽ‰ Uber Eats Scraper extracts comprehensive restaurant data from Uber Eats in two ways: by address (or address + query) or by store URLs. Perfect for gathering restaurant insights, menus, and pricing.

✨ Features

  • πŸ“ Option A – By address or address + query: Provide a delivery address (required). Optionally add a query (e.g. cuisine, restaurant name).

  • πŸ”— Option B – By URLs: Provide a list of Uber Eats store page URLs to scrape those restaurants directly. When urls is not empty, query and address are ignored.

  • πŸ“Š Rich Detailed Data: For each restaurant you get:

    • 🏠 Restaurant Name & Sanitized Title
    • ⭐ Ratings & Customer Reviews
    • πŸ“ Complete Address (latitude, longitude)
    • πŸ• Full Menus & Pricing Details
    • πŸ•‘ Opening Hours & Availability
    • πŸ“ž Contact Information (Phone Number & Emails)
    • πŸ–ΌοΈ High-Quality Images (Logo & Hero Image)
    • πŸ“ Distance & Delivery ETA
    • 🚧 Open/Closed Status & Messages
  • πŸ’» Integrations: Google Sheets, Slack, Zapier & Make.


πŸ› οΈ Input

Choose one of the two options below.

Option 1: πŸ“ Address (or address + query)

Provide a delivery address (required). You can use address alone or add an optional query:

{
"address":"1600 Pennsylvania Avenue NW, Washington",
"query":"pizza",
"locale":"en-US",
"maxRows":100
}
  • address (required when not using urls): Delivery location (Address, City, Zip, etc.)
  • query (optional): Cuisine type, restaurant name, or keyword (default: "Pizza")
  • locale: Language/region (e.g. en-US, fr-FR)
  • maxRows: Max restaurants to scrape (0 = all)
  • proxy (optional): Proxy configuration. Residential proxy recommended for localized results.

Option 2: πŸ”— Store URLs

Provide a list of store page URLs. When urls is not empty, query and address are ignored:

{
"urls":[
"https://www.ubereats.com/fr/store/mcdonalds-paris-alesia/eHoH6Q_2RRikwI-xKk7qaQ"
],
"locale":"fr-FR"
}
  • urls: Array of Uber Eats restaurant/store page URLs. All given URLs are scraped (maxRows is ignored in this mode).
  • locale: Used for API calls (e.g. fr-FR for French stores).
  • proxy (optional): Proxy configuration. Residential proxy recommended.

πŸš€ Output Example (JSON)

The scraper returns detailed restaurant information, like:

{
"title":"NY Pizza Grill (DC)",
"sanitizedTitle":"NY Pizza Grill (DC)",
"emails":["contact@mypizzagrill.com"],
"phoneNumber":"+12025473838",
"cuisineList":["Italian","Pizza","American"],
"location":{
"address":"1442 Pennsylvania Ave SE, Washington, DC 20003",
"streetAddress":"1442 Pennsylvania Ave SE",
"city":"Washington",
"country":"US",
"postalCode":"20003",
"region":"DC",
"latitude":38.8799987,
"longitude":-76.9840023,
"geo":{
"city":"washington-dc",
"country":"us",
"neighborhood":"capitol-hill-washington-dc",
"region":"dc"
},
"locationType":"PHYSICAL"
},
"currencyCode":"USD",
"rating":{"ratingValue":4.4,"reviewCount":"700+"},
"storeAvailablityStatus":"AVAILABLE",
"isOpen":true,
"closedMessage":"",
"etaRange":"Delivered in 35 to 55 min",
"fareBadge":"Delivery Fee: $0.99",
"hours":[
{
"dayRange":"Sunday - Thursday",
"sectionHours":[{"startTime":630,"endTime":60}]
},
{
"dayRange":"Friday - Saturday",
"sectionHours":[{"startTime":630,"endTime":150}]
}
],
"categories":["Italian","Pizza","American"],
"categoriesLink":[
{"text":"Italian","link":"/us/category/washington-dc/italian"},
{"text":"Pizza","link":"/us/category/washington-dc/pizza"}
],
"featuredItems":{
"title":"Mozzarella Sticks",
"itemDescription":"5 breaded mozzarella sticks with marinara.",
"price":999,
"priceTagline":"$9.99",
"isSoldOut":false,
"isAvailable":true,
"hasCustomizations":false,
"endorsement":"Popular",
"uuid":"b7ac95d8-11ea-4917-bc31-dd20c2407f29",
"rating":"96%",
"numRatings":4,
"featuredItems":"#1 most liked"
},
"menu":[
{
"catalogName":"Appetizers",
"catalogSectionUUID":"71871c25-cb39-4375-b395-b95fe87f9edc",
"catalogItems":[
{
"title":"Mozzarella Sticks",
"itemDescription":"5 breaded mozzarella sticks with marinara.",
"price":999,
"priceTagline":"$9.99",
"isSoldOut":false,
"isAvailable":true,
"hasCustomizations":false,
"endorsement":"Popular",
"labelPrimary":"$9.99, 96% liked based on 4 reviews.",
"uuid":"b7ac95d8-11ea-4917-bc31-dd20c2407f29",
"rating":"96%",
"numRatings":4
}
]
}
],
"logoImageUrl":"https://example.com/logo-image.jpeg",
"heroImageUrl":"https://example.com/hero-image.jpeg",
"distance":{
"text":"1.1 KM",
"accessibilityText":"1.1 kilometers"
},
"supportedDiningModes":["DELIVERY","PICKUP"],
"storeReviews":[
{
"rating":5,
"text":"Great pizza and quick delivery!",
"timeSinceReview":"1 week ago",
"formattedDate":"March 1, 2025",
"createdAt":"2025-03-01T13:45:00Z",
"eaterName":"John D.",
"contentUUID":"abcd-1234-efgh-5678"
}
],
"featuredReviews":[
{
"rating":5,
"text":"Best pizza in DC!",
"timeSinceReview":"2 months ago",
"formattedDate":"January 1, 2025",
"createdAt":"2025-01-01T13:45:00Z",
"eaterName":"Emily S.",
"contentUUID":"ijkl-9876-mnop-5432"
}
],
"uuid":"bff91760-2d67-54d7-91db-9f6f875086a6",
"url":"https://ubereats.com/us/store/ny-pizza-grill-dc/v_kXYC1nVNeR259vh1CGpg"
}

πŸ’» Integrations & Automation

  • Google Sheets πŸ“Š: Automatically export restaurant data for analysis.
  • Slack πŸ“©: Real-time restaurant data updates delivered instantly.
  • Zapier & Make ⚑️: Connect effortlessly with thousands of apps for automated workflows.

πŸ“‹ Example Use Cases

  • Competitive Analysis: Quickly gather detailed competitor menus, prices, and ratings.
  • Data-Driven Marketing: Efficiently collect restaurant data for targeted marketing campaigns.
  • Research & Development: Accelerate product innovation by analyzing food trends and popularity insights.

πŸ’¬ Support & Feedback

Need help or have questions? Please /issues for dedicated support.


πŸš€ Start scraping effortlessly with Uber Eats Scraper today!

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