Extracting text into columns
Maybe you could use Orange3-Text add-on, widget Preprocess Text, Tokenization > Regexp. The source code indicates it's a Python regex, so you might be able to use a regular expression pattern such as:

(?ix)        # ignore case, ignore comments and whitespace in this RE
(?&lt;=age:\s)  # preceded by 'age: '
.+           # characters you wish to match
(?=gender:)  # followed by 'gender:'