The most efficient way to scrape Google Maps at scale.
Google Maps Scraper is an Apify Actor that extracts business and location data from Google Maps for open locations. Users provide search keywords (such as "restaurants" or "gas station"), target locations (cities and/or states), and configure parameters such as maximum results per grid area and grid cell size to control the scraping area and density. An optional "Extra Fields" setting adds reviews, review distribution, hours of operation, and price level to the output, at the cost of slower runs and higher memory requirements (at least 3.5-4GB).
The output includes fields such as Google Place ID, name, website, domain, full address components (street, city, postcode, state, country), coordinates, phone numbers, price level, review counts broken down by star rating, overall rating, categories, hours of operation, logo link, additional context-specific info, and a Google Maps URL. Location boundaries are determined automatically via Nominatim.
The actor is built for large-scale scraping and is positioned as more cost-effective for extracting more than 5,000 records per month, billed as a rental at $50.00/month plus usage. It is maintained by a community developer (Rahul Singh) and has a 3.1 rating from 9 reviews, with 247 total users and 5 monthly active users at time of writing.
It costs $50.00/month plus usage as a rental Actor rather than pay-per-event pricing.
It is recommended for large-scale scraping, especially if you expect to extract more than 5,000 records in a month or want more predictable pricing.
Compared to Compass' pay-per-event Google Maps Scraper, this actor is 2.9x faster and 9.2x cheaper, taking 18 seconds and costing $0.016 versus 52 seconds and $0.147 on the same small city test.
It outputs fields including Google Place ID, name, address, phone number, website, price level, review counts by star rating, rating, categories, hours, and geolocation coordinates.
Yes, it captures data for all open locations/businesses.
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