Creating the scraper from scratch
Developing your own Google Maps scraping tool might be a big challenge in case you don't have a few years of experience behind you. You will need to be prepared for plenty of challenges from Google - IP protection (proxies), cookies & sessions, browser emulation, site updates, etc.
More quick and stable way
Fortunately, there are some good 3-rd party tools that you can easily integrate with your code and start scraping Google just within 5 minutes.
Getting started
Installation (Python 3+)
pip install google-services-api Usage
from outscraper import ApiClient api_cliet = ApiClient(api_key='SECRET_API_KEY_FROM_OUTSCRAPER') response = api_cliet.google_maps_search('restaurants brooklyn usa', language='en', region='US', limit=100) Response
{ 'id': '3f6f8bd0-4073-4ca3-b92f-4caff9cb0456', 'status': 'Success', 'data': [ { 'name': 'The Loft Steakhouse', 'full_address': '1306 40th St, Brooklyn, NY 11218', 'borough': 'Borough Park', 'street': '1306 40th St', 'city': 'Brooklyn', 'postal_code': '11218', 'country_code': 'US', 'country': 'United States of America', 'us_state': 'New York', 'state': 'New York', 'plus_code': None, 'latitude': 40.639734499999996, 'longitude': -73.9868193, 'time_zone': 'America/New_York', 'site': 'http://www.theloftsteakhouse.com/', 'phone': '+1 718-475-5600', 'type': 'Steak house', 'subtypes': 'Steak house, Fine dining restaurant, Kosher restaurant, Delivery Restaurant, Takeout Restaurant, Restaurant', 'posts': None, 'rating': 4.9, 'reviews': 1638, 'photos_count': 1054, 'google_id': '0x89c25ad4507a6e2f:0x135c0e38302054ac', 'place_id': 'ChIJL256UNRawokRrFQgMDgOXBM', ... } ... ] } 
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