Go to example tasks

๐Ÿฌ Find a restaurant or chain by name near an address

Type a restaurant or chain name plus a delivery address and get the stores Uber Eats matches to that name within delivery range: address and coordinates, opening hours, rating, delivery fee and ETA, menu and prices as served by that store. Uber Eats adds related suggestions after the exact matches, so filter on `title` for the brand only. Replace `query` with the name and `address` with the area.

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๐ŸดUber Eats Scraper [PPR]
๐ŸดUber Eats Scraper [PPR]borderline/uber-eats-scraper-ppr
Restaurant Logo
Hero Image
Restaurant title
Sanitized Title
+37 fields
Text
Number
Boolean
List
Object

Input

๐Ÿ“ Delivery address:6801 Hollywood Blvd, Los Angeles, CA 90028
๐Ÿ”Ž Search query:McDonald's
๐Ÿช Store type (vertical):RESTAURANTS
๐Ÿ“ˆ Maximum number of rows (restaurants/stores):20
๐Ÿ—บ๏ธ Locale:en-US
๐ŸŒ 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

How it works

Sign up on Apify01

Create your Apify account to access the ๐ŸดUber 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.

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