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Scrape Uber Eats Restaurant Reviews for Sentiment Analysis

Collect Uber Eats reviews - reviewer, star rating, text, and date - for any city and cuisine. Feed sentiment analysis and CX research. Pay per result.

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Uber Eats Restaurant Scraper
Uber Eats Restaurant Scraperjdtpnjtp/uber-eats-restaurant-scraper
🏷 Row type
πŸ“› Restaurant
⭐ Rating
πŸ—³ Reviews
+3 fields
Text
Number
Boolean
List
Object

Input

Store URLs or slugs
City:new-york
Search query:burgers
Scrape all restaurants in the city:false
Max restaurants:25
Include reviews:true
Max reviews per restaurant:100

Output fields

🏷 Row type
πŸ“› Restaurant
⭐ Rating
πŸ—³ Reviews
πŸ’² Price
πŸ” Menu items
🟒 Open

How it works

Sign up on Apify or log in

The Uber Eats Restaurant Scraper Actor is ready to run with the inputs already set for "Scrape Uber Eats Restaurant Reviews for Sentiment Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape Uber Eats Restaurant Reviews for Sentiment Analysis" task

The Uber Eats Restaurant Scraper Actor will start running based on the input automatically. You can also change all the input fields, like store urls or slugs, city, and more, to match your specific use case.

Receive the "Scrape Uber Eats Restaurant Reviews for Sentiment Analysis" 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 🏷 row type, πŸ“› restaurant, ⭐ rating, 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 "Scrape Uber Eats Restaurant Reviews for Sentiment Analysis" task via API.

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