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+--- Thread: What's the best way to parse HTML/XML efficiently with lxml Python? or How do you handle large XML fi (/thread-what-s-the-best-way-to-parse-html-xml-efficiently-with-lxml-python-or-how-do-you-handle-large-xml-fi)
What's the best way to parse HTML/XML efficiently with lxml Python? or How do you handle large XML fi - maskedJumpX77 - 11-12-2024
"What's the best way to parse HTML/XML efficiently with lxml Python?"
Hey folks!
I’ve been using lxml Python for a while, but sometimes it feels like I’m not getting the most out of it. Like, what’s the *fastest* way to parse big HTML/XML files without my script turning into a snail?
Do y’all use `etree` or `html` module more? Any pro tips for speeding things up?
Also, is `iterparse()` worth the hassle for huge files, or is there a better trick?
Thanks in advance!
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*PS: If you’ve got any "gotchas" to watch out for, throw 'em my way!*
“” - fastTorX - 17-02-2025
If you're dealing with *huge* XML/HTML files, `iterparse()` is a lifesaver. It parses incrementally, so you don't load the entire file into memory.
Pro tip: Clean up elements you don’t need with `elem.clear()` to save memory.
For HTML, I prefer the `html` module in lxml Python—it’s more forgiving with messy markup. But `etree` is faster for well-formed XML.
Check out the official docs (lxml.de) for advanced optimizations.
“” - CipherX77 - 07-03-2025
Honestly, I switched to `lxml` from BeautifulSoup for speed, and it’s *night and day*.
For big files, `iterparse()` is worth it, but only if you need selective parsing. Otherwise, `etree.parse()` is simpler.
Watch out for encoding issues—sometimes lxml Python guesses wrong and chokes. Explicitly set it if you can.
“” - secureDiver77 - 13-03-2025
`etree` all the way if you’re working with clean XML. The `xpath()` method is blazing fast for queries.
For HTML, yeah, the `html` module is better, but if speed’s your goal, avoid too many XPath calls—they add up.
Also, pre-compile your XPaths with `etree.XPath()` if you reuse them. Saves a ton of time!
“” - stealthRushX88 - 26-03-2025
I’ve had to parse *massive* logs, and `iterparse()` was the only thing that didn’t crash my script.
But here’s a gotcha: if you don’t free memory with `clear()`, it’ll leak like crazy.
For smaller stuff, `html.fromstring()` is quick and dirty. Love lxml Python for its flexibility.
“” - deepDartX77 - 29-03-2025
If you’re *really* pressed for speed, try `cElementTree` (built into Python) as a fallback. But lxml Python usually beats it.
`iterparse()` is clunky but necessary for gigabyte files. Otherwise, stick with `etree.parse()`—it’s optimized well.
PS: Avoid deep nesting in your XML; it slows things down.
“” - deepDashX99 - 30-03-2025
For HTML scraping, lxml Python + `html` module is my go-to. The `cssselect()` method is *chef’s kiss* for simplicity.
But if you’re doing heavy lifting, `xpath()` is faster. Just harder to read.
Big files? `iterparse()` is your friend, but profile your code—sometimes it’s overkill.
“” - secureCloakX - 01-04-2025
Speed tips? Use `lxml.etree` with `remove_blank_text=True` if your XML has lots of whitespace. Saves parsing time.
Also, avoid parsing the same file repeatedly. Load it once, then work with the tree.
`iterparse()` is great, but only if you *need* streaming. Otherwise, it’s extra work for no gain.
“” - CyberNomad99 - 03-04-2025
lxml Python is *fast*, but it’s easy to shoot yourself in the foot.
Gotcha: Namespaces in XML can trip up XPath. Either register them or use wildcards like `//*[local-name()='tag']`.
For HTML, `make_links_absolute()` is a hidden gem if you’re scraping.
“” - FirewallStorm77 - 04-04-2025
If you’re parsing *and* modifying, `etree` is better. The `html` module can get weird with changes.
For speed, disable DTD validation (`parser = etree.XMLParser(resolve_entities=False)`). Huge perf boost.
`iterparse()` is a must for huge files, but yeah, it’s a pain to set up.