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🍣 Search restaurants by cuisine or dish near an address

Combine a delivery address with a search term — a cuisine (sushi, vegan, Mexican), a dish (ramen, poke bowl) or a keyword — and get the restaurants Uber Eats matches to it, each with full menu and prices, rating, delivery fee, ETA, opening hours and contact details. Swap `query` for the food you are researching and `address` for the market you want to cover.

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

Input

📍 Delivery address:350 Fifth Avenue, New York, NY 10118
🔎 Search query:sushi
🏪 Store type (vertical):RESTAURANTS
📈 Maximum number of rows (restaurants/stores):30
🗺️ Locale:en-US
🌍 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 🍴Uber Eats Scraper [PPR] Actor is ready to run with the inputs already set for "🍣 Search restaurants by cuisine or dish near an address". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "🍣 Search restaurants by cuisine or dish near an address" task

The 🍴Uber Eats Scraper [PPR] Actor will start running based on the input automatically. You can also change all the input fields, like 📍 delivery address, 🔎 search query, and more, to match your specific use case.

Receive the "🍣 Search restaurants by cuisine or dish near an address" 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 "🍣 Search restaurants by cuisine or dish near an address" task via API.

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