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Extract Restaurant Food, Service & Atmosphere Ratings

Scrape a restaurant's Google reviews and capture the review_details field, which breaks out per-service ratings like Food, Service and Atmosphere when reviewers provide them. Pair it with review_text and author_rating to see exactly what drives each score. Note per-service ratings only appear when the reviewer filled them in, so some reviews will have none.

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Google Maps Reviews Scraper - Text, Ratings & Exact Dates
Google Maps Reviews Scraper - Text, Ratings & Exact Datesdelicious_zebu/google-maps-store-review-scraper
Shop Name
Reviewer
Rating
Review Date
+19 fields
Text
Number
Boolean
List
Object

Input

Store URLs or Place IDs(required):https://www.google.com/maps/place/CAVA/data=!4m5!3m4!1s0x89c25b1573b6d42b:0x544335f45362df10!8m2!3d40.6926226!4d-73.9884258?authuser=0&hl=en&rclk=1
Sort by:Most relevant
Max review pages:40

Output fields

Shop Name
Reviewer
Rating
Review Date
Review
Review Details
Review Images
Local Guide
Language
Owner Response
Owner Response Date
Edited
Review Date (relative)
Reviewer Total Reviews
Reviewer Total Photos
Reviewer Profile
Reviewer Photo
Shop Rating
Shop Total Reviews
Shop Review Keywords
Review Link
Review ID
Input URL

How it works

Sign up on Apify or log in

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

Start the "Extract Restaurant Food, Service & Atmosphere Ratings" task

The Google Maps Reviews Scraper - Text, Ratings & Exact Dates Actor will start running based on the input automatically. You can also change all the input fields, like store urls or place ids, sort by, and more, to match your specific use case.

Receive the "Extract Restaurant Food, Service & Atmosphere Ratings" 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 shop name, reviewer, 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 "Extract Restaurant Food, Service & Atmosphere Ratings" task via API.

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