I have a website that returns property-related text data once an address is entered in its search box. I need a small bot that will read a list of addresses from an existing Excel sheet, open the site, run each search, capture the resulting text fields, then write every record back into the workbook—one clean row per address with each field in its own column. After the import, the same script should trigger a few basic calculations inside the file (sums, averages and a simple column-by-column comparison that is already laid out in the template). In short, the flow is: address list in → web scrape → structured rows/columns out → calculations refresh. A Python solution using Selenium (or Playwright) plus pandas/openpyxl is ideal, but I’m open to alternatives that achieve the same fully automated loop. The finished package should include: • The commented script • A sample output workbook showing the populated rows and updated formulas • A quick read-me on how to run or schedule the job The site has no login and the data is plain text, so the work is straight scraping—no images or file downloads involved.