I need a reliable, one-time scrape of roughly 300 public education websites that all share a similar page structure. Each site lists between 5 and 200 staff contacts (average ≈50). For every person you find, capture four fields: • full name • job title • email address • exact source URL where the data appears All pages are publicly accessible—no authentication hurdles—so the script can run headless without session handling. Please deliver: 1. A consolidated Excel file (.xlsx) containing every contact, with clear column headers and either a “Site” column or separate tabs—whichever keeps the data easiest to filter. 2. The scraper’s source code (Python with Scrapy, BeautifulSoup, or similar is fine) plus a brief README so I can rerun or tweak it later. Clean, deduplicated results and accurate mapping of each field to its column will be my acceptance criteria.