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Restaurant Reviews Extraction for Sentiment Analysis

Collect individual diner reviews with food, service, ambience and value ratings for sentiment analysis and reputation monitoring across restaurants.

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OpenTable Restaurant Emails & Leads | Menus, Reviews
OpenTable Restaurant Emails & Leads | Menus, Reviewsahmed_jasarevic/opentable-scraper
Type
Restaurant
Profile URL
Cuisine
+6 fields
Text
Number
Boolean
List
Object

Input

Search term / location:las vegas
Max reviews per restaurant:50
Include individual reviews:true

Output fields

Type
Restaurant
Profile URL
Cuisine
Price
Rating
# Reviews
Neighborhood
Address
Style

How it works

Sign up on Apify or log in

The OpenTable Restaurant Emails & Leads | Menus, Reviews Actor is ready to run with the inputs already set for "Restaurant Reviews Extraction for Sentiment Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Restaurant Reviews Extraction for Sentiment Analysis" task

The OpenTable Restaurant Emails & Leads | Menus, Reviews Actor will start running based on the input automatically. You can also change all the input fields, like search term / location, max reviews per restaurant, and more, to match your specific use case.

Receive the "Restaurant Reviews Extraction 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 type, restaurant, profile url, 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 Reviews Extraction for Sentiment Analysis" task via API.

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