Extract Specific PDF Data

I have a PDF of roughly 11-50 pages that combines narrative text with several embedded tables. I only need certain fields and rows pulled out—not every single word or cell—then organised cleanly in an Excel workbook. Accuracy matters more than speed; the resulting .xlsx file should let me sort, filter, and run simple formulas without further cleanup.

You can tackle the job with any method you prefer—Python (tabula-py, camelot), Power Query, Adobe export, or even careful manual entry—as long as the final sheet is consistent with the source and preserves the original numerical precision and wording.

Deliverables
• One Excel file containing:
 – Sheet 1: the specified tables in their original column order
 – Sheet 2: the targeted text segments, each linked to its page number

Acceptance criteria
• 100 % of the requested data captured, no extra material
• Column headers and units exactly match the PDF
• Page references included so I can cross-check quickly

Let me know your usual turnaround for a project of this size and any clarifying questions you may have about the sections to extract.