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Analyze reviews against your own themes

Replace the default themes with your own, each with an optional one-line definition, and every review gets positive, negative or not mentioned for each of them (here, a gym: cleanliness, crowding at peak hours, equipment, membership terms and cancellation). Ideal when the default themes of a business type do not match your questions. The sample uses fictional reviews.

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Review Analyzer API — Sentiment, Topics & Complaints
Review Analyzer API — Sentiment, Topics & Complaintssherwood/review-analyzer
Business
Reviews
Rating
Negative share
+2 fields
Text
Number
Boolean
List
Object

Input

Reviews
text:Spotless changing rooms and the machines are always maintained.+5
rating:5+5
placeName:Iron Club Gym (sample)+5
category:Gym+5
date:2026-09-08+5
Your own themes:cleanliness+3

Output fields

Business
Reviews
Rating
Negative share
Unanswered complaints
Summary

How it works

Sign up on Apify or log in

The Review Analyzer API — Sentiment, Topics & Complaints Actor is ready to run with the inputs already set for "Analyze reviews against your own themes". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze reviews against your own themes" task

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 your own themes, to match your specific use case.

Receive the "Analyze reviews against your own themes" 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, reviews, 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 "Analyze reviews against your own themes" task via API.

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