🚀 Uber Eats Scraper Actor | (PPR) Pay per results version

🎉 This tool is your one-stop solution to scrape comprehensive restaurant data from Uber Eats using only a search query and location—no URLs needed! Ideal for gathering instant restaurant insights, effortlessly and cost-effectively.

✨ Features

• 🔍 Simple Search Queries: Just input your search term and location—no need for URLs!
• 📊 Detailed Data: Instantly retrieve a complete set of restaurant information, including:
  • 🏠 Restaurant Name
  • ⭐ Rating & Reviews
  • 📍 Address & Location (latitude, longitude)
  • 🍕 Menu Items with Prices
  • 🕑 Operating Hours
  • 📞 Phone Number
• 💻 Seamless Integrations:
  • Google Sheets for exporting data
  • Slack Notifications for real-time updates
  • Zapier, Make for powerful automation flows

🛠️ Input

To get started, simply provide a query and a precise address in the input. The input schema is straightforward:

1{
2  "query": "pizza",
3  "address": "1600 Pennsylvania Avenue NW, Washington"
4}

• query: Your search term (e.g., type of cuisine or restaurant name)
• location: Precise delivery address to search in. (ex: Address, City, Zip Code, etc...)

🚀 Output

The scraper returns detailed restaurant information in JSON format based on address, including restaurant names, menus, ratings, and more! Here’s an example:

1{
2      "title": "NY Pizza Grill (DC)",
3      "sanitizedTitle": "NY Pizza Grill (DC)",
4      "phoneNumber": "+12025473838",
5      "cuisineList": ["Italian", "Pizza", "American"],
6      "location": {
7        "address": "1442 Pennsylvania Ave Se, Washington, DC 20003",
8        "streetAddress": "1442 Pennsylvania Ave SE",
9        "city": "Washington",
10        "country": "US",
11        "postalCode": "20003",
12        "region": "DC",
13        "latitude": 38.8799987,
14        "longitude": -76.9840023,
15        "geo": {
16          "city": "washington-dc",
17          "country": "us",
18          "neighborhood": "capitol-hill-washington-dc",
19          "region": "dc"
20        },
21        "locationType": "PHYSICAL"
22      },
23      "currencyCode": "USD",
24      "rating": { "ratingValue": 4.4, "reviewCount": "700+" },
25      "etaRange": "Delivered in 35 to 55 min",
26      "hours": [
27        {
28          "dayRange": "Sunday - Thursday",
29          "sectionHours": [
30            { "startTime": 630, "endTime": 60, "sectionTitle": "" }
31          ]
32        },
33        {
34          "dayRange": "Friday - Saturday",
35          "sectionHours": [
36            { "startTime": 630, "endTime": 150, "sectionTitle": "" }
37          ]
38        }
39      ],
40      "categories": ["Italian", "Pizza", "American"],
41      "categoriesLink": [
42        { "text": "Italian", "link": "/us/category/washington-dc/italian" },
43        { "text": "Pizza", "link": "/us/category/washington-dc/pizza" },
44        { "text": "American", "link": "/us/category/washington-dc/american" }
45      ],
46      "menu": [
47        {
48          "catalogName": "Appetizers",
49          "catalogItems": [
50            {
51              "title": "Steak and Cheese Egg Roll (3 pcs)",
52              "titleBadge": "Steak and Cheese Egg Roll (3 pcs)",
53              "itemDescription": "3 pieces. Crispy dough filled with minced vegetables.",
54              "price": 1199,
55              "priceTagline": "$11.99",
56              "isSoldOut": false,
57              "isAvailable": true,
58              "hasCustomizations": false,
59              "labelPrimary": "$11.99, 94% of customers liked this based on 18 reviews."
60            },
61            {
62              "title": "Fried Zucchini",
63              "titleBadge": "Fried Zucchini",
64              "itemDescription": "Breaded and deep-fried, fresh zucchini slices with marinara.",
65              "price": 999,
66              "priceTagline": "$9.99",
67              "isSoldOut": false,
68              "isAvailable": true,
69              "hasCustomizations": false,
70              "labelPrimary": "$9.99"
71            },
72            {
73              "title": "Samosa (6 pcs)",
74              "titleBadge": "Samosa (6 pcs)",
75              "itemDescription": "Savory vegetables and potatoes fried in an egg roll.",
76              "price": 999,
77              "priceTagline": "$9.99",
78              "isSoldOut": false,
79              "isAvailable": true,
80              "hasCustomizations": false,
81              "labelPrimary": "$9.99"
82            },
83            {
84              "title": "Mozzarella Sticks",
85              "titleBadge": "Mozzarella Sticks",
86              "itemDescription": "5 pieces of breaded mozzarella served with marinara.",
87              "price": 999,
88              "priceTagline": "$9.99",
89              "isSoldOut": false,
90              "isAvailable": true,
91              "hasCustomizations": false,
92              "endorsement": "Popular",
93              "labelPrimary": "$9.99"
94            },
95            {
96              // More items
97            }
98          ],
99          "catalogSectionPosition": 0
100        }, 
101        // More items
102      ],
103      "uuid": "bff91760-2d67-54d7-91db-9f6f875086a6",
104      "url": "https://ubereats.com/us/store/ny-pizza-grill-dc/v_kXYC1nVNeR259vh1CGpg"
105    },

💻 Integrations

• Google Sheets: Export your data directly to Google Sheets for easy analysis 📊.
• Slack: Get real-time updates on restaurant data directly in your Slack workspace 📩.
• Zapier & Make: Automate workflows by connecting with over 2,000 apps! ⚡️

📋 Example Use Case

Looking to gather menu data for pizza restaurants in a city for competitive analysis or data-driven marketing campaigns? This scraper has you covered! It collects and organizes data in minutes, making your research faster and more efficient.

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💬 Need Help?

If you have any questions, suggestions, or need assistance, feel free to /issues for support.

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🚀 Start scraping and simplify your data collection with our Uber Eats Scraper Actor today!