Go to example tasks
Google Maps Restaurant Scraper
Created by
SilentFlow
Actor
Google Maps Scraper
Build a restaurant dataset for any city. This example collects restaurants in Chicago with the name, address, phone, website, rating, review count and opening hours. Food delivery platforms use it to find merchants to sign, and market researchers use it to measure how dense a category really is in a given neighbourhood.
Google Maps Scrapersilentflow/google-maps-scraper
Name
Category
Rating
Reviews
+6 fieldsTextNumberBooleanListObject
Input
π Search terms:restaurant
π Location:Chicago, United States
π― Number of places:50
Output fields
Name
Category
Rating
Reviews
Phone
Website
Address
City
Emails
Maps URL
Sign up on Apify01
Create your Apify account to access the Google Maps Scraper.
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.
