I’ll send you a clean CSV that contains nothing but U.S. property addresses. Your job is to loop through those rows, call the US Real Estate API, and return a refreshed file with the extra columns I need: • Property Details – SqFT, Year_Renovated, Year_Built, Lot_Sqft (all four are mandatory) • Property History – Event_Name and Date (both required) • Flags – Is_new_construction A lightweight Python script (requests, pandas) or similar is perfect as long as it can handle thousands of look-ups without rate-limit surprises. I’m comfortable running the code myself, so please include clear setup notes, any environment variables, and a quick read-me that explains how to swap in a new API key or change the output path. Acceptance is straightforward: I’ll point the script at my sample CSV, let it run, and verify that every address comes back with the six new populated columns (blank only when the API truly offers no value). If you prefer a no-code approach, I’m open to it, but the end result still needs to be a reproducible process I can rerun at will. Turnaround is flexible but sooner is better; let me know how quickly you can deliver.