🍴Uber Eats Scraper avatar

🍴Uber Eats Scraper

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3 days trial then $35.00/month - No credit card required now

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🍴Uber Eats Scraper

🍴Uber Eats Scraper

borderline/ubereats-scraper
Try for free

3 days trial then $35.00/month - No credit card required now

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

🚀 Uber Eats Scraper Actor

🎉 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 location in the input. The input schema is straightforward:

1{
2  "searchQuery": "pizza",
3  "location": "new york"
4}
  • searchQuery: Your search term (e.g., type of cuisine or restaurant name)
  • location: The city or area you're interested in.

🚀 Output

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

1{
2  "title": "Joe's Pizza",
3  "address": "7 Carmine St, New York, NY 10014",
4  "rating": 4.7,
5  "phoneNumber": "+1 212-366-1182",
6  "menu": [
7    {
8      "item": "Classic Cheese Pizza",
9      "price": "$18.00"
10    },
11    {
12      "item": "Pepperoni Pizza",
13      "price": "$21.00"
14    }
15  ],
16  "hours": [
17    {
18      "day": "Monday",
19      "open": "11:00 AM",
20      "close": "10:00 PM"
21    },
22    {
23      "day": "Tuesday",
24      "open": "11:00 AM",
25      "close": "10:00 PM"
26    }
27  ]
28}

💻 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!

Developer
Maintained by Community
Actor metrics
  • 6 monthly users
  • 1 star
  • 100.0% runs succeeded
  • Created in Sep 2024
  • Modified 27 days ago