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Analyze Google reviews for a restaurant with AI

An AI read of what diners actually say about a restaurant: sentiment score, reputation risk, trend, and the complaints and praises that repeat. Reviewer names are stripped by default.

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Google Maps Review Scraper & AI Sentiment Analyzer
Google Maps Review Scraper & AI Sentiment Analyzerjurassic_jove/google-maps-review-sentiment
Business
Url
Reviews
Sentiment /10
+6 fields
Text
Number
Boolean
List
Object

Input

Business Name:Joe's Stone Crab, Miami Beach
Max Reviews:100
Date Range:all

Output fields

Business
Url
Reviews
Sentiment /10
Risk /10
Trend
Top complaints
Top praises
Date range
Scraped at

How it works

Sign up on Apify or log in

The Google Maps Review Scraper & AI Sentiment Analyzer Actor is ready to run with the inputs already set for "Analyze Google reviews for a restaurant with AI". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze Google reviews for a restaurant with AI" task

The Google Maps Review Scraper & AI Sentiment Analyzer Actor will start running based on the input automatically. You can also change all the input fields, like business name, max reviews, and more, to match your specific use case.

Receive the "Analyze Google reviews for a restaurant with AI" 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, url, reviews, 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 Google reviews for a restaurant with AI" task via API.

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Integrate "Analyze Google reviews for a restaurant with AI" into your workflow

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