Real-Time Visitor Data Scraper

I need a robust, real-time scraping tool that monitors an accounting / legal / financial-services website and records every visitor’s key details the moment they arrive. The script must capture:

• IP address
• Name, phone and email
• The exact Google or other search engine search keyword that led the user to the site
• The specific page URL they land on and continue to browse
• Any sign-up or form-fill actions performed
• Geolocation (city/region/PIN Code) and device type

Once each record is assembled it has to flow through my own verification endpoint first; if my custom API flags the data as unverified, the workflow should automatically fall back on a designated paid API to complete validation. All calls need to log their status so I can audit API usage and success rates later.

I’m comfortable with whatever tech stack you choose—Python with Selenium/Playwright, Node with Puppeteer, or a lightweight headless solution—as long as the scraper runs continuously, de-duplicates visitors in real time, and exposes the results through a secure dashboard or database I can query.

Deliverables:
1. Source code with clear setup instructions
2. Real-time pipeline (scrape → verify → store) working on my test server
3. Documentation covering API endpoints, error handling and how to switch paid providers if needed
4. Short hand-off session to walk me through deployment and maintenance
5. Testing and training for trouble shoot

If you’ve built similar live-tracking scrapers, especially for service-industry sites, I’d love to see a quick demo or architecture diagram with your bid.