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Track delivery competitors around a store area

Build a compact competitor set of nearby restaurants for delivery analysis, with location, ratings, fees, and menu presence.

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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):Austin, TX
Dining mode:DELIVERY
Max restaurants:20
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 "Track delivery competitors around a store area". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Track delivery competitors around a store area" 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 "Track delivery competitors around a store area" 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 "Track delivery competitors around a store area" task via API.

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Integrate "Track delivery competitors around a store area" into your workflow

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