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Python lead scraping software for collecting public business listings from Google Maps searches with names, phone numbers, websites, ratings, categories, and addresses exported into CSV or Excel-ready data.
A Python-based lead research tool built for extracting publicly visible business listing information from map search result pages. It collects practical fields such as business name, category, address, phone number, website, rating, review count, and location keywords for sales and outreach workflows.
The software supports keyword plus city searches, paginated result handling, duplicate filtering, export queues, and clean CSV or Excel-ready output. It is designed to help teams turn local business discovery into structured lead lists that can be reviewed before use.
The build focuses on reliable browser automation, parser fallbacks, data cleaning with Pandas, validation for incomplete listings, and an operator-friendly run log so every scraping session is easy to audit.
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