I have an unstructured text file that needs to end up as clean, well-organized rows and columns in Google Sheets. The data will come strictly from this file, not manual keying or an API, so the first step is parsing whatever patterns you can detect—line breaks, repeating markers, dates, or any other cues that let you segment the content logically. Once parsed, I want each logical field mapped to its own column in a Google Sheet I’ll share with you. If a repeatable rule can be established, please codify it in either Google Apps Script or a small Python script so I can reuse the process whenever a new file arrives. Deliverables: • The populated Google Sheet, fully checked for alignment and obvious anomalies • The script or documented method you used to transform the raw text into structured data, with brief comments so I can run it myself next time If something in the file resists clean parsing, flag it in a separate “Notes” column rather than deleting it outright. Accuracy and reproducibility matter more to me than speed, so feel free to suggest the most reliable approach.