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๐Ÿ†• Spot new restaurants on Uber Eats since your last run

Track restaurant openings in an area without paying twice for stores you already know. Put the `uuid` values from your previous export into `excludeStores` and the scraper skips them, returning only restaurants that appeared since โ€” with menu, prices, rating, hours and phone. Schedule it weekly to get a feed of new openings for lead generation or market monitoring.

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

Input

๐Ÿ“ Delivery address:1600 Pennsylvania Avenue NW, Washington, DC 20500
๐Ÿช Store type (vertical):RESTAURANTS
๐Ÿ“ˆ Maximum number of rows (restaurants/stores):50
Exclude stores:198143de-5fc7-4488-b751-6c32604454d3+1
๐Ÿ—บ๏ธ Locale:en-US
๐ŸŒ Address proxy country:US

Output fields

Store Logo
Hero Image
Store 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 Apify or log in

The ๐ŸดUber Eats Scraper [PPR] Actor is ready to run with the inputs already set for "๐Ÿ†• Spot new restaurants on Uber Eats since your last run". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "๐Ÿ†• Spot new restaurants on Uber Eats since your last run" task

The ๐ŸดUber Eats Scraper [PPR] Actor will start running based on the input automatically. You can also change all the input fields, like ๐Ÿ“ delivery address, ๐Ÿช store type (vertical), and more, to match your specific use case.

Receive the "๐Ÿ†• Spot new restaurants on Uber Eats since your last run" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as store logo, hero image, store title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "๐Ÿ†• Spot new restaurants on Uber Eats since your last run" task via API.

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