Google Maps Business Lead List & Website Finder. 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.
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I built a Python workflow to collect information from approved public Instagram profiles and posts. The workflow can collect publicly visible profile details, post information, captions, image links, and other content shown on public pages.
It organizes the results into a structured format for research, content monitoring, or social-media analysis. The workflow can also download publicly available images when permitted and save the information in CSV, JSON, or another agreed format.
This is a video demonstration of a private project. The source code is not publicly listed, and no private accounts, private messages, login bypasses, or restricted data were used.
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I built a Python workflow to collect and organize information from approved public Telegram channels. The workflow can collect post text, timestamps, channel names, public links, view counts, and other fields visible in the public channel.
It cleans and structures the collected records and exports them to CSV or Excel for research, monitoring, or content analysis. The sample shows the collection process and organized output. No private messages, private groups, login bypasses, or personal account data were used.
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I built a Python workflow to collect and organize hotel listing information from approved public Booking.com (http://Booking.com) pages. Depending on the page, the workflow can collect details such as property name, location, rating, review count, price as displayed, room information, and amenities.
The data is cleaned, organized, and exported to CSV or Excel for research and comparison. The workflow can also handle repeated pages and dynamic content where permitted. The sample shows the collection process and structured output. No login or private customer data was used.
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