Web Content Extraction & LaTeX Integration

I have a batch of technical web documentation pages and need all visible on-page textual content exported into one neatly organized LaTeX source file, paired with a supporting Excel metadata sheet generated by Python scripts. No embedded images, code screenshots, charts or multimedia assets—only raw readable text content.

Preserve the original content sequence and core logical hierarchy completely: page headings, subsections, numbered/bullet lists, mathematical formulas, inline code blocks and paragraph divisions must remain unchanged. Complex decorative formatting, custom color styles and fancy layout tweaks are not required.

I will share all target URLs once we kick off the task. The full deliverables (`.tex` main document + automated `.xlsx` index sheet built with Python) need to be fully handed over within two working days.

Absolute accuracy and full content coverage are top priorities: double-verify all text snippets, equations and code lines from every web page are fully transcribed with zero missing segments and zero duplicated text entries.

Your workflow should use Python for automated webpage scraping, text cleaning and Excel index generation, then compile all validated text into a standardized LaTeX structure. If you can start the scraping and sorting process immediately and output clean, logically structured deliverables as requested, I’m ready to proceed with this project.