Analyze restaurant reviews: food, service, waiting time
Sherwood
Give the reviews of one or many restaurants and get, for each, what customers praise and criticize (food, service, waiting time, price, atmosphere, cleanliness), how serious the complaints are and which ones never got a reply. The sample uses six illustrative reviews; plug the dataset of any Google Maps reviews scraper with datasetId for real ones.
Input
Output fields
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The Review Analyzer API — Sentiment, Topics & Complaints Actor is ready to run with the inputs already set for "Analyze restaurant reviews: food, service, waiting time". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
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The Review Analyzer API — Sentiment, Topics & Complaints Actor will start running based on the input automatically. You can also change all the input fields, like reviews and business type, to match your specific use case.
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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, reviews, rating, and more.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Analyze restaurant reviews: food, service, waiting time" task via API.
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