"Best parser html python libs for web scraping? Need advice!"
Hey folks!
So I'm trying to scrape some sites, but man, the markup is *messy*. I've tried a few parser html python tools, but some are slow or just break on bad HTML.
What do y'all recommend? I’ve heard mixed things about BeautifulSoup (slow but forgiving?) and lxml (fast but strict?).
Also, any tips for handling those *ugh* malformed pages? Or should I just switch to something like parsel or pyquery?
Thanks in advance! 🙏
(ps: if you’ve got a fav tutorial or snippet, drop it pls!)
BeautifulSoup is my go-to for parser html python tasks, especially when dealing with messy markup. It's super forgiving, which is great for those "what even is this HTML?" moments.
That said, if speed's a big deal, lxml is way faster. But yeah, it’s less lenient with broken tags.
Pro tip: pair BeautifulSoup with `html5lib` for the *most* forgiving parsing. It’s slower, but it’ll handle pretty much anything.
For tutorials, Real Python has a solid guide on web scraping with parser html python libs.
lxml all the way if you care about speed! It’s a beast for parser html python stuff, but like you said, it’s picky.
If the HTML’s a disaster, maybe pre-clean it with something like `tidy` or `bleach` before throwing it at lxml.
Also, check out `selectolax`—it’s a newer parser html python lib that’s *blazing* fast and a bit more forgiving than lxml.
Honestly, I’ve switched to `parsel` for most of my parser html python needs. It’s built on lxml but adds some nice CSS/XPath shortcuts.
Plus, it’s what Scrapy uses under the hood, so you know it’s battle-tested.
For messy pages, I’ll sometimes fall back to regex *gasp* for quick fixes, but don’t tell anyone I said that.
If you’re dealing with *really* nasty HTML, BeautifulSoup + `html5lib` is the combo you want. It’s like the duct tape of parser html python libs—not elegant, but it’ll hold things together.
For speed, though, yeah, lxml wins. Just be ready to handle parsing errors gracefully.
Side note: Mozilla’s docs on XPath are a lifesaver if you go that route.
PyQuery is low-key underrated for parser html python work. It’s like jQuery but for Python, so if you’re familiar with that, it’s a breeze.
Not as fast as lxml, but way more readable for complex queries.
For tutorials, check out the PyQuery docs—they’re short and sweet.
I’ve been burned by bad HTML too many times, so now I just use `requests-html`. It’s got a built-in parser html python setup that auto-fixes a lot of common issues.
Plus, it can render JS if you need it, which is handy for some sites.
Downside? It’s heavier than the other options.
Wow, thanks for all the suggestions! I tried BeautifulSoup with html5lib, and it *actually* worked on that nightmare site I was stuck on.
Still curious about selectolax though—anyone got a snippet for handling nested broken tags with it?
Also, shoutout to the person who mentioned requests-html. Gonna test that next for JS-heavy pages. Appreciate y’all! 🙌
For quick and dirty parser html python jobs, I still reach for BeautifulSoup. It’s just so *easy*.
But if I’m scraping at scale, lxml + some custom error handling is the move.
Also, this might be overkill, but sometimes I’ll run the HTML through a headless browser (like Playwright) and *then* parse it. Works wonders for JS-heavy sites.
Don’t sleep on `selectolax`! It’s a newer parser html python lib that’s crazy fast and handles malformed HTML better than lxml.
The docs are a bit sparse, but the speed makes up for it.
For tutorials, I’d just dig through the GitHub repo—there’s enough examples to get you started.
