Group product reviews into topics with evidence

Created by

LibriHouse

Actor

ReviewSignal — Competitor Review Topic Analysis

Analyze a fictional review sample for pricing and support topics. Replace it with your English review export to get topic counts and exact supporting records. No scraping; keyword matches need human review.

Try for free

ReviewSignal — Competitor Review Topic Analysisexceptional_nugget/my-actor

Topic

Review mentions

Mentions since cutoff

Suggested investigation

+1 field

Input

Reviews(required)

product:Sample product (fictional)

text:Pricing is expensive for our small team.

date:2026-09-01

url:https://example.com/reviews/sample

Maximum charge USD:2

Output fields

Topic

Review mentions

Mentions since cutoff

Suggested investigation

Source reviews

How it works

Sign up on Apify or log in

The ReviewSignal — Competitor Review Topic Analysis Actor is ready to run with the inputs already set for "Group product reviews into topics with evidence". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Group product reviews into topics with evidence" task

The ReviewSignal — Competitor Review Topic Analysis Actor will start running based on the input automatically. You can also change all the input fields, like reviews and maximum charge usd, to match your specific use case.

Receive the "Group product reviews into topics with evidence" 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 topic, review mentions, mentions since cutoff, 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 "Group product reviews into topics with evidence" task via API.