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📞 Build a restaurant lead list with phone numbers
Created by
borderline
![🍴Uber Eats Scraper [PPR]](/_next/image?url=https%3A%2F%2Fimages.apifyusercontent.com%2FykFVd357QmY_QibZ6uZN0e2akovcyShvXAIQki1sw6Q%2Frs%3Afill%3A250%3A250%2Fcb%3A1%2FaHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbnJRZVVKUGJlSkxWVnNYUEgvNEluWnUzcDBTdDc3cmoxTngtc01Ha0xwSDZXTUlhejFIejctdWJlci1lYXRzLWxvZ28tMS0zMDB4MzAwLnBuZw.webp&w=3840&q=75){kind=small}
Build a prospect list of restaurants already selling on Uber Eats in a city: business name, phone number, full street address with coordinates, cuisines, rating, review count, opening hours and any email the store page lists. Every row is a restaurant that already does delivery — ideal for POS, packaging, supplier and marketing outreach. Change `address` to your territory.
🍴Uber Eats Scraper [PPR]borderline/uber-eats-scraper-ppr
Restaurant Logo
Hero Image
Restaurant title
Sanitized Title
+37 fieldsTextNumberBooleanListObject
Input
📍 Delivery address:1601 Biscayne Blvd, Miami, FL 33132
🏪 Store type (vertical):RESTAURANTS
📈 Maximum number of rows (restaurants/stores):100
🗺️ Locale:en-US
🌍 Address proxy country:US
Output fields
Restaurant Logo
Hero Image
Restaurant title
Sanitized Title
Merchant Type
Phone Number
Emails
Categories
Menu
Featured Items
Store Reviews
Featured Reviews
Location
Distance
Cuisine list
Rating
Price Bucket
Parent Chain
Chain
City Slug
Store Slug
Scraped At
Dining Mode
Search Address
Menu Analytics
Store Availability Status
Open Now
Accepting Orders
Closed Message
ETA Range
ETA Minutes
Fare Badge
Delivery Fee
Hours Summary
Promotions
Hours
Currency Code
Categories Link
UUID
URL
Supported Dining Modes
Sign up on Apify01
Create your Apify account to access the 🍴Uber Eats Scraper [PPR].
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
