I built a Python-based Google Maps business scraper that collects publicly listed business information such as business names, categories, locations, and website links. It then finds each company’s website and extracts publicly available email addresses and phone numbers.

The workflow cleans and organizes the results into a structured CSV or Excel file, removes duplicates, preserves source links, and validates the collected fields where possible. This helps businesses create cleaner lead lists without doing repetitive research manually.

The sample video shows the workflow and output. Private information and credentials have been removed.