How to use python-pptx to extract infrequent tables?

I have a pipeline where I'll be needing to ingest PowerPoint (pptx) files using Python. These files will mostly have text, occasionally have tables, and won't always have the same format and/or design. I need to extract this data, including the [mostly text] cell values of tables when present and eventually get into a table with presentation name, presentation date, and a free text field of all the ppt content.

I've been exploring the python-pptx module, and extracting most of the data is easy enough with the code below, but it skips a table in a slide:

for slide_number, slide in enumerate(presentation.slides):
print(f"Slide {slide_number + 1}:")
for shape in slide.shapes:
    if hasattr(shape, "text"):
        print(shape.text)
        

Question is, what's the best way to grab tables with this module (or another lightweight tool)? I've been perusing documentation for the module but an obvious solution hasn't presented itself given the tables can appear anywhere.

Try this:

for slide_number, slide in enumerate(presentation.slides):
    print(f"Slide {slide_number + 1}:")
    for shape in slide.shapes:
        if hasattr(shape, "text"):
            print(shape.text)
        # Check is the shape has a table
        if shape.has_table == True:
            # Generate iterable cells
            cells = shape.table.iter_cells()
            # Iterate through cells
            for cell in cells:
                print(cell.text)

Using this pptx file to test:

The output is:

Slide 1:
File title
Table read testing
Slide 2:
Column A
Column B
Column C
Column D
Cell A1
Cell B1
Cell C1
Cell D1
Cell A2
Cell B2
Cell C2
Cell D2
Cell A3
Cell B3
Cell C3
Cell D3