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GMapsScraper.AI is a cloud-based Google Maps data extractor that collects business information from Google Maps search results at scale.
The tool runs entirely on cloud servers. You enter search keywords in batches (for example, "coffee shop in Brooklyn" or "law firm in Sydney"), and the platform processes them in parallel. Each listing returns 39+ structured data fields: business name, full address, phone number, email, website, Google rating, review count, opening hours, and social media profiles. You can set the language and location for each task to target specific regions.
Results come back as CSV or JSON files that work with CRM systems, email outreach tools, and spreadsheets. No browser extension to install, no desktop software to run.
The platform supports up to 100 keywords per task and 5 concurrent tasks on higher plans. It also has a resume feature, so interrupted tasks pick up where they left off.
Who uses it: B2B sales teams building prospect lists from local business listings. Marketing agencies are pulling competitor data for clients in specific cities. SEO consultants are collecting business data for citation building and local pack analysis. Freelance researchers gathering location-based datasets.
Free accounts get 1,000 credits per month (1 credit = 1 business listing). Paid plans start at $29/month with 50,000 credits.
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GMapsScraper.AI's answer:
GMapsScraper.AI runs entirely in the cloud, enabling fast, large-scale Google Maps data extraction without browser extensions or local setup.
GMapsScraper.AI's answer:
It offers more stable and scalable scraping through cloud processing, supports bulk keyword tasks, and returns rich datasets (39+ fields) ready for CRM and outreach workflows.
GMapsScraper.AI's answer:
B2B sales teams, marketing agencies, and SEO professionals who need scalable access to local business data for lead generation and research.
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