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Worked example: analyze a restaurant's Google reviews

Demo run on built-in sample data: themes with real quotes, silent-star counts, and a coordination verdict with evidence. Costs nothing to try.

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Google Reviews Analysis - what customers say, and what's fake
Google Reviews Analysis - what customers say, and what's fakementat-logic/mentat-reviews-analysis
Row
Location
VERDICT
Why
+10 fields
Text
Number
Boolean
List
Object

Input

Google Maps links
Full audit (paid) instead of the free recent window:false

Output fields

Row
Location
VERDICT
Why
Bombed / bought
Status
Reason
Recent reviews
Baseline per month
What people say
Authenticity signals
Impact signals
Coverage pct
Report

How it works

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The Google Reviews Analysis - what customers say, and what's fake Actor is ready to run with the inputs already set for "Worked example: analyze a restaurant's Google reviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Worked example: analyze a restaurant's Google reviews" task

The Google Reviews Analysis - what customers say, and what's fake Actor will start running based on the input automatically. You can also change all the input fields, like google maps links and full audit (paid) instead of the free recent window, to match your specific use case.

Receive the "Worked example: analyze a restaurant's Google reviews" 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 row, location, VERDICT, 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 "Worked example: analyze a restaurant's Google reviews" task via API.

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