🚀 Uber Eats Scraper Actor | Rental version

🎉 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

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

• 🔗 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.

• 📊 Rich Detailed Data: For each restaurant you get:

  • 🏠 Restaurant Name & Sanitized Title
  • ⭐ Ratings & Customer Reviews
  • 📍 Complete Address (latitude, longitude)
  • 🍕 Full Menus & Pricing Details
  • 🕑 Opening Hours & Availability
  • 📞 Contact Information (Phone Number & Emails)
  • 🖼️ High-Quality Images (Logo & Hero Image)
  • 📐 Distance & Delivery ETA
  • 🚧 Open/Closed Status & Messages

• 💻 Integrations: Google Sheets, Slack, Zapier & Make.

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🛠️ Input

Choose one of the two options below.

Option 1: 📍 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: 🔗 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.

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🚀 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"
}

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💻 Integrations & Automation

• Google Sheets 📊: Automatically export restaurant data for analysis.
• Slack 📩: Real-time restaurant data updates delivered instantly.
• Zapier & Make ⚡️: Connect effortlessly with thousands of apps for automated workflows.

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📋 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.

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💬 Support & Feedback

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

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🚀 Start scraping effortlessly with Uber Eats Scraper today!