A detailed technical guide explaining how to scrape business information from Google Maps using Python and Selenium, including both manual implementation steps and alternative professional solutions.
The article covers everything from environment setup to data extraction, handling challenges, and scaling considerations.
Reasons to Read -- Learn:
how to build a complete Google Maps scraping system using Python and Selenium, with detailed code examples and step-by-step instructions for extracting business information like names, addresses, ratings, and reviews.
handling common web scraping challenges such as dynamic content loading, GDPR prompts, and anti-scraping measures, with practical solutions and best practices for each obstacle.
six professional scraping alternatives including Bright Data and ScrapingBee, helping you make an informed decision between building your own scraper versus using established services for large-scale data collection.
author: Data Journal
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