If you’re working in Python, the `re` module is solid for regex, but for *really* messy stuff, `pyparsing` can handle weird formats better.
Also, `pandas` has some decent tools for parsing out structured data from logs if you can load it into a DataFrame.
Nested data? Yeah, that’s a nightmare. Maybe try `jsonpath` if it’s JSON?
Also, `pandas` has some decent tools for parsing out structured data from logs if you can load it into a DataFrame.
Nested data? Yeah, that’s a nightmare. Maybe try `jsonpath` if it’s JSON?
