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Analyze hair and beauty salon reviews: result, price, staff

Get, per salon, what clients praise or criticize (result, welcome, price, punctuality, hygiene), the severity of each complaint, the share of negative reviews over the last 90 days and the complaints still waiting for a reply. Works with pasted reviews or the dataset of a reviews scraper. 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:Exactly the balayage I asked for, and Chloe took time to explain the aftercare.+5
rating:5+5
placeName:Studio Lumière (sample)+5
category:Hair salon+5
date:2026-09-05+5
Business type:beauty

Output fields

Business
Reviews
Rating
Negative share
Unanswered complaints
Summary

How it works

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The Review Analyzer API — Sentiment, Topics & Complaints Actor is ready to run with the inputs already set for "Analyze hair and beauty salon reviews: result, price, staff". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze hair and beauty salon reviews: result, price, staff" 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 business type, to match your specific use case.

Receive the "Analyze hair and beauty salon reviews: result, price, staff" 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 hair and beauty salon reviews: result, price, staff" task via API.

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