🚀 Uber Eats Scraper Actor | Rental 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          "catalogSectionUUID": "71871c25-cb39-4375-b395-b95fe87f9edc",
50          "catalogItems": [
51            {
52              "title": "Steak and Cheese Egg Roll (3 pcs)",
53              "titleBadge": "Steak and Cheese Egg Roll (3 pcs)",
54              "itemDescription": "3 pieces. Crispy dough filled with minced vegetables.",
55              "price": 1199,
56              "priceTagline": "$11.99",
57              "isSoldOut": false,
58              "isAvailable": true,
59              "hasCustomizations": false,
60              "labelPrimary": "$11.99, 94% of customers liked this based on 18 reviews.",
61              "uuid": "85bca003-a393-4180-af7f-e9e0498821cb",
62              "rating": "100%",
63              "numRatings": 4
64            },
65            {
66              "title": "Fried Zucchini",
67              "titleBadge": "Fried Zucchini",
68              "itemDescription": "Breaded and deep-fried, fresh zucchini slices with marinara.",
69              "price": 999,
70              "priceTagline": "$9.99",
71              "isSoldOut": false,
72              "isAvailable": true,
73              "hasCustomizations": false,
74              "labelPrimary": "$9.99",
75              "uuid": "08cc590b-34ad-4684-b3fa-b6051ee63deb",
76              "rating": "90%",
77              "numRatings": 6
78            },
79            {
80              "title": "Samosa (6 pcs)",
81              "titleBadge": "Samosa (6 pcs)",
82              "itemDescription": "Savory vegetables and potatoes fried in an egg roll.",
83              "price": 999,
84              "priceTagline": "$9.99",
85              "isSoldOut": false,
86              "isAvailable": true,
87              "hasCustomizations": false,
88              "labelPrimary": "$9.99",
89              "uuid": "cd5b51a4-c7c5-4463-b769-dbcf1b4c501b",
90            },
91            {
92              "title": "Mozzarella Sticks",
93              "titleBadge": "Mozzarella Sticks",
94              "itemDescription": "5 pieces of breaded mozzarella served with marinara.",
95              "price": 999,
96              "priceTagline": "$9.99",
97              "isSoldOut": false,
98              "isAvailable": true,
99              "hasCustomizations": false,
100              "endorsement": "Popular",
101              "labelPrimary": "$9.99",
102              "uuid": "b7ac95d8-11ea-4917-bc31-dd20c2407f29",
103              "rating": "96%",
104              "numRatings": 4
105            },
106            {
107              // More items
108            }
109          ],
110          "catalogSectionPosition": 0
111        }, 
112        // More items
113      ],
114      "uuid": "bff91760-2d67-54d7-91db-9f6f875086a6",
115      "url": "https://ubereats.com/us/store/ny-pizza-grill-dc/v_kXYC1nVNeR259vh1CGpg"
116    },

💻 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.

💬 Need Help?

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

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