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Collect menus from specific restaurant pages

Extract complete menu records from known Uber Eats store pages for a focused set of restaurants and menu-backed 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

Uber Eats store URLs (menu mode):https://www.ubereats.com/store/duane-reade-158-w-45th-st/3aRdtSxMQI-rBbPFn6miNQ
Fetch full menu for each restaurant:false
Locale code:en-US
Max restaurants:10

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 "Collect menus from specific restaurant pages". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Collect menus from specific restaurant pages" task

The Uber Eats Scraper Actor will start running based on the input automatically. You can also change all the input fields, like uber eats store urls (menu mode), fetch full menu for each restaurant, and more, to match your specific use case.

Receive the "Collect menus from specific restaurant pages" 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 "Collect menus from specific restaurant pages" task via API.

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