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Build a local restaurant prospect list

Collect Uber Eats restaurant cards near a chosen location for outreach, market mapping, or local dining research.

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Uber Eats Scraper
Uber Eats Scraperkhadinakbar/uber-eats-scraper
Restaurant
Rating
Reviews
Price
+8 fields
Text
Number
Boolean
List
Object

Input

Location (address or city):Chicago, IL
Dining mode:DELIVERY
Max restaurants:25
Fetch full menu for each restaurant:false
Locale code:en-US

Output fields

Restaurant
Rating
Reviews
Price
ETA
Delivery fee
Menu items
City
Store URL
Image
Store UUID
Scraped at

How it works

Sign up on Apify or log in

The Uber Eats Scraper Actor is ready to run with the inputs already set for "Build a local restaurant prospect list". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a local restaurant prospect list" task

The Uber Eats Scraper Actor will start running based on the input automatically. You can also change all the input fields, like location (address or city), dining mode, and more, to match your specific use case.

Receive the "Build a local restaurant prospect list" 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 restaurant, rating, reviews, 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 "Build a local restaurant prospect list" task via API.

Image

Integrate "Build a local restaurant prospect list" into your workflow

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