Go to example tasks
Scrape Restaurant Data by City for Market Research
Created by
ВAH
Given `keywords` (e.g. restaurants) and a `location` (e.g. Austin, TX), this task scrapes restaurants from Google Maps with rating, review_count, price_range, category, full_address, phone, website and popular_times, for market research, competitor density mapping and menu-price benchmarking. `maxCrawlPages` limits how many result pages are crawled.
Google Maps Data Scraperdelicious_zebu/google-maps-data-scraper
Search String
Title
Category
Categories
+44 fieldsTextNumberBooleanListObject
Input
Search keywords:restaurants
Location:Austin, TX
Max result pages:10
Output fields
Search String
Title
Category
Categories
Claimed
Rating
Review Count
Reviews by Star Rating (when available)
Price Range
Price Range Votes
Price Breakdown
Full Address
Neighborhood
Street Address
City
Zip Code
State
Country
Latitude
Longitude
Phone
Phone (International)
Website
Plus Code URL
Plus Code
URL
Google ID (Feature ID)
CID
Place ID
Business Attributes
Description
About
Photos Count
Images
Review Summary
Review Tags
People Also Search For
Current Status
Permanently Closed
Temporarily Closed
Opening Hours
Popular Times (Monday)
Popular Times (Tuesday)
Popular Times (Wednesday)
Popular Times (Thursday)
Popular Times (Friday)
Popular Times (Saturday)
Popular Times (Sunday)
Sign up on Apify01
Create your Apify account to access the Google Maps Data 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.
