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.