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Enrich nearby restaurants with menus

Fetch restaurant cards and enrich a small set with full menu data for sampling menu structure, item names, and prices.

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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):San Francisco, CA
Search keyword (cuisine, dish, or brand):pizza
Fetch full menu for each restaurant:true
Max restaurants:15
Max menus to enrich:5
Dining mode:DELIVERY
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 "Enrich nearby restaurants with menus". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Enrich nearby restaurants with menus" 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), search keyword (cuisine, dish, or brand), and more, to match your specific use case.

Receive the "Enrich nearby restaurants with menus" 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 "Enrich nearby restaurants with menus" task via API.

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