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Analyze OpenTable reviews for sentiment analysis

Pull OpenTable reviews for a set of restaurants to feed a sentiment analysis pipeline. Get review text, ratings, dined dates, and diner profiles as JSON.

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OpenTable Reviews API | Restaurant Review Intelligence
OpenTable Reviews API | Restaurant Review Intelligencejohnvc/opentable-reviews-api
Result Type
Restaurant ID
Position
Rating
+3 fields
Text
Number
Boolean
List
Object

Input

Restaurant IDs:r/tao-uptown-new-york+2
Maximum Reviews Per Restaurant:50

Output fields

Result Type
Restaurant ID
Position
Rating
Content
Dined At
User

How it works

Sign up on Apify or log in

The OpenTable Reviews API | Restaurant Review Intelligence Actor is ready to run with the inputs already set for "Analyze OpenTable 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 "Analyze OpenTable reviews for sentiment analysis" task

The OpenTable Reviews API | Restaurant Review Intelligence Actor will start running based on the input automatically. You can also change all the input fields, like restaurant ids and maximum reviews per restaurant, to match your specific use case.

Receive the "Analyze OpenTable 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 result type, restaurant id, position, 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 "Analyze OpenTable reviews for sentiment analysis" task via API.

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