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Restaurant Amenities & Popular Dishes Dataset

Build a rich restaurant dataset that goes beyond names and ratings. For every venue this task captures amenities (outdoor seating, takeout, Wi-Fi, parking), popular_items (top-ordered dishes, where Yelp shows them) and menu_url, alongside rating, review_count, price_level, categories and hours. Great for food-trend research and menu benchmarking. Adjust maxCrawlPages for coverage.

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Yelp Advanced Data Scraper
Yelp Advanced Data Scraperdelicious_zebu/yelp-advanced-data-scraper
Business Name
Rating
Review Count
Claimed
+37 fields
Text
Number
Boolean
List
Object

Input

Search keywords:Restaurants
Locations:Nashville, TN
Sort by:Recommended

Output fields

Business Name
Rating
Review Count
Claimed
Closed
Temporarily Closed
Price Level
Categories
Phone Number
Website
Full Address
City
State
Zip Code
Country
Neighborhoods
Coordinates
Sponsored
Rank
Search Keyword
Search Location
Images
Photo Count
Hours
Owner Name
About
Review Highlights
Amenities
Specialties
Year Established
Popular Items
Menu URL
Q&A
Videos
Health Inspections
Verified Licenses
Service Areas
Yelp Business ID
Link
Search URL
Timestamp

How it works

Sign up on Apify or log in

The Yelp Advanced Data Scraper Actor is ready to run with the inputs already set for "Restaurant Amenities & Popular Dishes Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Restaurant Amenities & Popular Dishes Dataset" task

The Yelp Advanced Data Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, locations, and more, to match your specific use case.

Receive the "Restaurant Amenities & Popular Dishes Dataset" 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 business name, rating, review count, 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 "Restaurant Amenities & Popular Dishes Dataset" task via API.

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