Google Maps Restaurant Scraper
SilentFlow
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.
Input
Output fields
Sign up on Apify or log in
The Google Maps Scraper Actor is ready to run with the inputs already set for "Google Maps Restaurant Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Google Maps Restaurant Scraper" task
The Google Maps Scraper Actor will start running based on the input automatically. You can also change all the input fields, like ๐ search terms, ๐ location, and more, to match your specific use case.
Receive the "Google Maps Restaurant Scraper" 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 name, category, 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 "Google Maps Restaurant Scraper" task via API.
