Wikipedia is one of the most data-rich websites on the planet. Millions of tables containing everything from country populations to sports statistics to historical timelines. Yet when you try to scrape these tables programmatically, things go wrong f...

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First up, wrap that malformed rowspan stuff ,you know, the {{{}}} mess, in a try-catch that defaults to 1 if it blows up. Then, when you're pulling text, nuke the jQuery sortkey junk and those footnote brackets [123] before they trash your numeric columns. And run a cardinality check to catch horizontal duplication - because yeah, wikipedia tables sometimes legit repeat column names when they actually mean different things, not just because the layout got weird. Your detectHeaderRowIndex() function is honestly chefs kiss - it catches all those v t e variations whether they're spaced out, piped, or bracketed. I'm wondering tho if you're actually filtering out nested tables with table.tBodies or checking that row.parentElement === table, because if not, you're probably letting infobox rows slip through and mess with your column count? Anyway, if you keep iterating on this, those canonical test cases would make a killer regression suite