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Newest Google Maps Reviews of a Restaurant

The newest Google Maps reviews of a well-known New York restaurant with rating, full text, translation, publish date, owner reply and food, service and atmosphere scores. Schedule it daily with onlyNew to get only fresh reviews.

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Google Maps Reviews Scraper - Ratings, Text, Owner Replies
Google Maps Reviews Scraper - Ratings, Text, Owner Repliesscrapewise/google-maps-reviews-scraper
Place
Rating
Text
Translation
+11 fields
Text
Number
Boolean
List
Object

Input

Place links:https://www.google.com/maps/place/Katz's+Delicatessen/data=!4m2!3m1!1s0x89c2598f7ff4aa09:0x313547e757cb8cea
Max reviews per place:50
Sort:newest
Language:en

Output fields

Place
Rating
Text
Translation
Language
Published
When
Owner reply
Photos
Reviewer reviews
Guided ratings
Review
Place link
Error code
Error

How it works

Sign up on Apify or log in

The Google Maps Reviews Scraper - Ratings, Text, Owner Replies Actor is ready to run with the inputs already set for "Newest Google Maps Reviews of a Restaurant". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Newest Google Maps Reviews of a Restaurant" task

The Google Maps Reviews Scraper - Ratings, Text, Owner Replies Actor will start running based on the input automatically. You can also change all the input fields, like place links, max reviews per place, and more, to match your specific use case.

Receive the "Newest Google Maps Reviews of a Restaurant" 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 place, rating, text, 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 "Newest Google Maps Reviews of a Restaurant" task via API.

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Integrate "Newest Google Maps Reviews of a Restaurant" into your workflow

Connect "Newest Google Maps Reviews of a Restaurant" with 100+ integrations, or run it via API or MCP.

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