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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.
Google Maps Reviews Scraper - Text, Ratings & Exact Datesdelicious_zebu/google-maps-store-review-scraper
Shop Name
Reviewer
Rating
Review Date
+19 fieldsTextNumberBooleanListObject
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
Sign up on Apify01
Create your Apify account to access the Google Maps Reviews Scraper - Text, Ratings & Exact Dates.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
