Python PDF Parsing Fixes

I have a small Python script that uses requests to download PDFs, feeds the raw content into a few Pandas routines, and is intended to return a neat, structured DataFrame. Currently, it fails due to basic syntax errors, and when it does run, a handful of key fields return garbled or missing data altogether.

Your task is to refine the code so that it executes correctly and then refine the extraction logic until the resulting DataFrame accurately matches the PDF content in real-world scenarios. If incorporating something like PyPDF2, pdfminer.six, or another parsing helper will expedite the process, feel free—just keep the final workflow simple and importable.

Deliverables
• Corrected .py file, fully runnable from the command line
• Clear, in-code comments showing what changed and why
• One-page README (or markdown section) with setup steps and a quick sample run that proves the extracted data lines up with the source PDF

I will test the script by running it on a small batch of PDFs and verifying that every required field populates correctly without generating errors. Once it passes, we are done.