๐ŸดUber Eats Scraper [PPR] avatar
๐ŸดUber Eats Scraper [PPR]

Pricing

$5.00 / 1,000 restaurants

Go to Apify Store
๐ŸดUber Eats Scraper [PPR]

๐ŸดUber Eats Scraper [PPR]

Pay per result - Fast and cost-effective Uber Eats Scraper requiring just a search query and location or using stores urls. Instantly retrieve comprehensive restaurant data, including names, phone, ratings, locations, and menus. Seamlessly integrates, offering a highly efficient data solution.

Pricing

$5.00 / 1,000 restaurants

Rating

5.0

(4)

Developer

borderline

borderline

Maintained by Community

Actor stats

5

Bookmarked

198

Total users

30

Monthly active users

8.1 hours

Issues response

2 days ago

Last modified

Share

๐Ÿš€ Uber Eats Scraper Actor | (PPR) Pay per results version

๐ŸŽ‰ 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.

โœจ Features

  • ๐Ÿ“ Option A โ€“ By address or address + query: Provide a delivery address (required). Optionally add a query (e.g. cuisine, restaurant name).

  • ๐Ÿ”— Option B โ€“ 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.

  • ๐Ÿ“Š Rich Detailed Data: For each restaurant you get:

    • ๐Ÿ  Restaurant Name & Sanitized Title
    • โญ Ratings & Customer Reviews
    • ๐Ÿ“ Complete Address (latitude, longitude)
    • ๐Ÿ• Full Menus & Pricing Details
    • ๐Ÿ•‘ Opening Hours & Availability
    • ๐Ÿ“ž Contact Information (Phone Number & Emails)
    • ๐Ÿ–ผ๏ธ High-Quality Images (Logo & Hero Image)
    • ๐Ÿ“ Distance & Delivery ETA
    • ๐Ÿšง Open/Closed Status & Messages
  • ๐Ÿ’ป Integrations: Google Sheets, Slack, Zapier & Make.


๐Ÿ› ๏ธ Input

Choose one of the two options below.

Option 1: ๐Ÿ“ 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)

Option 2: ๐Ÿ”— 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).

๐Ÿš€ 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"
}

๐Ÿ’ป Integrations & Automation

  • Google Sheets ๐Ÿ“Š: Automatically export restaurant data for analysis.
  • Slack ๐Ÿ“ฉ: Real-time restaurant data updates delivered instantly.
  • Zapier & Make โšก๏ธ: Connect effortlessly with thousands of apps for automated workflows.

๐Ÿ“‹ 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.

๐Ÿ’ฌ Support & Feedback

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


๐Ÿš€ Start scraping effortlessly with Uber Eats Scraper today!