gmaps-scraper

You can scrape Google Maps business listings to CSV by automating the browser with Playwright, extracting details like name, address, phone, website, reviews, hours, type, and introduction, and writing them directly to a structured CSV file for lead generation.

Web scraping Google Maps allows you to extract business name, address, phone number, website, review counts, operating hours, business type, and introduction text, providing a comprehensive dataset for local market research and outreach.

Yes, you need Python and Playwright to scrape Google Maps data, as this automation approach requires a compatible browser environment to handle DOM changes, validate inputs, and reliably extract local business listings.

Yes, you can build targeted local-lead lists from Google Maps queries by scraping search results and exporting business contact information and hours to a CSV, creating structured datasets ready for sales outreach or market research.

Automating Google Maps data extraction with a Playwright-based scraper is the best way to avoid manual copying, directly converting Maps query results into a CSV file with configurable output paths for downstream use.

Limitations when scraping Google Maps listings include handling dynamic DOM changes and requiring a compatible browser environment, meaning large-scale market research may need robust input validation and error handling to maintain data accuracy.