Python PDF Invoice Scraper

I need a clean, well-documented Python script that can scan a folder of PDF invoices, extract every piece of relevant text data, and collate it into a structured Excel workbook. Accuracy matters more than speed: each invoice must end up as one row (or one sheet if you prefer), with clear columns for the captured fields. The PDFs come in consistent formats, but I still want the code to cope gracefully with occasional layout variations or extra pages. Feel free to rely on libraries such as pdfplumber, PyPDF2, [login to view URL], or other open-source tools you trust, so long as the final deliverable is a single .py file (plus any helper modules) that I can run from the command line. A small README explaining required packages and how to execute the script will be helpful. Deliverables: • Python source code with inline comments • Sample Excel file generated from two or three invoices I supply • Brief instructions for setup and execution I’ll provide a set of representative PDFs once we start; please write the script so I can swap in new files without touching the code.

Project ID: 39739042