I need a small, reliable program that checks the New York State Supreme Court docket every day and spots any newly filed foreclosure actions. The moment a new case appears, the tool should pull the case/index number, filing date, defendant’s full name, and the defendant’s service address, then push those fields into a Google Sheets workbook I’ll share with you. Daily automation is essential. I do not want to log in or click anything; the script should run on its own (a lightweight cloud function, a VPS cron job, or another hands-free setup is fine) and overwrite or append data so I can see the latest filings at a glance. If the court site uses pagination, captchas, or session cookies, please build in whatever handling is needed so the run never hangs. Because this feed will drive time-sensitive legal marketing, accuracy matters more than volume: • Only matters filed under foreclosure in the State Supreme Court should appear. • Data must hit the Sheet no later than the following morning’s run (24-hour maximum latency). • Duplicate cases should not be re-imported; add a “last checked” timestamp instead. Please include brief notes on the stack you propose (Python + BeautifulSoup, Node + Puppeteer, etc.) and any third-party services the solution will rely on. When you deliver, I’ll need: 1. Source code and environment/setup instructions. 2. A live demonstration showing fresh docket entries arriving in my Google Sheet. 3. Documentation explaining how I can adjust the schedule, add additional courts later, or redeploy if the site’s layout changes. If you have already worked with New York court data—or similar public docket sites—let me know, as proven experience scraping dynamic or protected pages will be a big plus.