I have several product PDFs and an existing Amazon FBA bulk-upload Excel template. I need a repeatable script that reads the PDFs, extracts the information, and places every piece of data into the correct cells of my template so the file can be uploaded to Seller Central without errors. The input is a standard PDF file, not an export, so your code must locate the tables or text inside it and map each required field to the spreadsheet columns I already use. I specifically want the mapping logic baked into the script so I can simply drop in a new PDF and receive a ready-to-upload .xlsx file. Python is my preferred stack, and I’m comfortable with libraries such as tabula-py, Camelot, pandas, and PyPDF2, but feel free to suggest alternatives if they achieve the same reliable result. Deliverables • Fully commented source code • README with setup and usage instructions • A sample run that fills my template and passes Amazon’s validation checker The job is complete when the generated Excel loads into Seller Central with no column or formatting errors.