๐ŸดUber Eats Scraper avatar

๐ŸดUber Eats Scraper

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

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๐ŸดUber Eats Scraper

๐ŸดUber 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.

๐Ÿš€ Uber Eats Scraper Actor

๐ŸŽ‰ This tool is your one-stop solution to scrape comprehensive restaurant data from Uber Eats using only a search query and locationโ€”no URLs needed! Ideal for gathering instant restaurant insights, effortlessly and cost-effectively.

โœจ Features

  • ๐Ÿ” Simple Search Queries: Just input your search term and locationโ€”no need for URLs!
  • ๐Ÿ“Š Detailed Data: Instantly retrieve a complete set of restaurant information, including:
    • ๐Ÿ  Restaurant Name
    • โญ Rating & Reviews
    • ๐Ÿ“ Address & Location (latitude, longitude)
    • ๐Ÿ• Menu Items with Prices
    • ๐Ÿ•‘ Operating Hours
    • ๐Ÿ“ž Phone Number
  • ๐Ÿ’ป Seamless Integrations:
    • Google Sheets for exporting data
    • Slack Notifications for real-time updates
    • Zapier, Make for powerful automation flows

๐Ÿ› ๏ธ 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.

๐Ÿš€ Output

The scraper returns detailed restaurant information in JSON format, including restaurant names, menus, ratings, and more! Hereโ€™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}

๐Ÿ’ป Integrations

  • Google Sheets: Export your data directly to Google Sheets for easy analysis ๐Ÿ“Š.
  • Slack: Get real-time updates on restaurant data directly in your Slack workspace ๐Ÿ“ฉ.
  • Zapier & Make: Automate workflows by connecting with over 2,000 apps! โšก๏ธ

๐Ÿ“‹ 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.


๐Ÿ’ฌ Need Help?

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


๐Ÿš€ Start scraping and simplify your data collection with our Uber Eats Scraper Actor today!

Developer
Maintained by Community

Actor Metrics

  • 8 monthly users

  • 2 stars

  • >99% runs succeeded

  • Created in Sep 2024

  • Modified 2 months ago