I need a custom web-scraping script that automatically browses Turk.net’s location-service pages, drills down from city to building level, and captures every internet technology the site reports for each address. The workflow has to run headlessly through Firefox—so please base it on a framework such as Selenium or Playwright that supports automated browsing with that browser. During execution the tool should: • Navigate the full location hierarchy (city → district → neighbourhood → street → building) without manual input. • Store the technologies found for every building in a clean, consistently structured Excel file that carries the building name or ID in its filename. • Handle CAPTCHAs, dynamic content and pagination, re-trying gracefully when the site slows down or blocks requests. I will regard the project as complete when I can: 1. Run a single command to launch the scraper. 2. Watch it open a headless Firefox session, crawl the required pages and exit without errors. 3. Open the generated Excel files and see accurate, deduplicated data for each building. Please package the well-commented source code, a short README with environment and dependency instructions, and a sample output folder produced from a short test run so I can verify everything immediately.