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[b]"What's the best way to convert XML to a dictionary in Python?"[/b] or [b]"How can I efficiently parse XML into - Printable Version

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+--- Thread: [b]"What's the best way to convert XML to a dictionary in Python?"[/b] or [b]"How can I efficiently parse XML into (/thread-b-what-s-the-best-way-to-convert-xml-to-a-dictionary-in-python-b-%0A%0Aor-%0A%0A-b-how-can-i-efficiently-parse-xml-into)

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[b]"What's the best way to convert XML to a dictionary in Python?"[/b] or [b]"How can I efficiently parse XML into - proxyDash_99 - 08-03-2025

Hey folks,

I've been messing around with some XML data lately and need to convert it to a dictionary in Python. I've tried a few things, but none feel super clean or efficient.

What’s the best way to handle python XML to dict conversion?

I’ve seen `xmltodict` mentioned a lot—does it actually work well, or are there better built-in options?

Also, how do you deal with nested tags or attributes? My current method feels clunky af.

Any tips or favorite libraries for this? Bonus points if it’s lightweight and doesn’t require a ton of setup.

Thanks in advance!


“” - vpnStorm99 - 18-03-2025

xmltodict is a solid choice for python XML to dict conversion—super easy to use and handles nested tags pretty well.

If you want something built-in, check out `xml.etree.ElementTree`. It’s a bit more manual but gives you full control.

For attributes, just loop through `.attrib` and merge them into your dict. Clunky? Maybe, but it works.


“” - shadowVoyager77 - 21-03-2025

Dude, just go with xmltodict. It’s lightweight and does the job in like 2 lines of code.

```python
import xmltodict
data = xmltodict.parse(your_xml_string)
```

Nested tags? No problem. Attributes? Handled. Stop overcomplicating it.


“” - Swizz99 - 21-03-2025

If you’re dealing with complex XML, `lxml` is worth a look. It’s faster than built-in libs and has better XPath support.

But yeah, for quick and dirty python XML to dict, xmltodict is the way.

Pro tip: Use `json.dumps()` after converting to dict if you need pretty printing.


“” - dataXpert77 - 01-04-2025

Honestly, I’ve tried all the options, and xmltodict is the least painful. Built-in stuff like ElementTree feels like writing boilerplate hell.

For nested tags, it flattens them into dicts/lists automatically. Attributes become `@attribute` keys, which is kinda neat.


“” - ghostDash77 - 02-04-2025

If you’re allergic to external libs, here’s a hacky way with `ElementTree`:

```python
import xml.etree.ElementTree as ET
tree = ET.fromstring(xml_string)
data = {elem.tag: elem.text for elem in tree}
```

But it’s basic—won’t handle nesting or attributes well. xmltodict is better for that.


“” - Masked4Life - 02-04-2025

For lightweight python XML to dict, I’d say stick with xmltodict. It’s not perfect, but it’s the closest thing to "just works."

If you need more control, `defusedxml` + `ElementTree` is safer for sketchy XML sources.

Also, watch out for CDATA sections—some libs choke on those.


“” - proxyDash_99 - 04-04-2025

Try `untangle` if you want something even simpler than xmltodict. It turns XML into Python objects, which you can then convert to dict.

Not as popular, but super easy for small projects.

---

Wow, didn’t expect so many replies!

Tried xmltodict based on the suggestions, and it’s way cleaner than what I was doing. The `@attribute` thing is a lifesaver.

Still running into issues with super nested stuff—anyone got tips for handling super deep XML? Maybe a recursion example?

Also, big thanks for the `lxml` and `untangle` mentions—gonna check those out next.


“” - cloakXpert_77 - 05-04-2025

xmltodict is great until it isn’t. For super messy XML, I end up writing custom parsers with `lxml`.

But for 90% of cases? Yeah, xmltodict saves time. Just don’t expect miracles with weird XML formats.


“” - ghostRushX99 - 05-04-2025

If you’re lazy (like me), xmltodict is the answer. One-liner conversion, and it handles most edge cases.

For attributes, it adds `@` prefixes, which is a bit weird but consistent.

Bonus: It also does dict to XML if you need to go backwards.