Extract IBAN from text with Python

问题

I want to extract IBAN numbers from text with Python. The challenge here is, that the IBAN itself can be written in so many ways with spaces bewteen the numbers, that I find it difficult to translate this in a usefull regex pattern.

I have written a demo version which tries to match all German and Austrian IBAN numbers from text.

^DE([0-9a-zA-Z]\s?){20}$

I have seen similar questions on stackoverflow. However, the combination of different ways to write IBAN numbers and also extracting these numbers from text, makes it very difficult to solve my problem.

Hope you can help me with that!

回答1:

You can use

\b(?:DE|AT)(?:\s?[0-9a-zA-Z]){18}(?:(?:\s?[0-9a-zA-Z]){2})?\b

See the regex demo. Details:

• \b - word boundary
• (?:DE|AT) - DE or AT
• (?:\s?[0-9a-zA-Z]){18} - eighteen occurrences of an optional whitespace and then an alphanumeric char
• (?:(?:\s?[0-9a-zA-Z]){2})? - an optional occurrence of two sequences of an optional whitespace and an alphanumeric char
• \b - word boundary.

回答2:

	ISO landcode	Verification#	Bank#	Account#
Germany	2a	2n	8n	10n
Austria	2a	2n	5n	11n

_{Note: a - alphabets (letters only), n - numbers (numbers only)}

So the main difference is really the length in digits. That means you could try:

\b(?:DE(?:\s*\d){20}|AT(?:\s*\d){18})\b(?!\s*\d)

See the online demo.

---

• \b - Word-boundary.
• (?: - Open 1st non-capturing group.
  • DE - Match uppercase "DE" literally.
  • (?:- Open 2nd non-capturing group.
    • \s*\d - Zero or more spaces upto a single digit.
    • ){20} - Close 2nd non-capturing group and match it 20 times.
  • | - Or:
  • AT - Match uppercase "AT" literally.
  • (?:- Open 3rd non-capturing group.
    • \s*\d - Zero or more spaces upto a single digit.
    • ){18} - Close 2nd non-capturing group and match it 20 times.
  • ) - Close 1st non-capturing group.
• \b - Word-boundary.
• (?!\s*\d) - Negative lookahead to prevent any trailing digits.

---

It does show that your Austrian IBAN numbers are invalid. If you wish to extract up to the point where they would still be valid, I guess you can remove \b(?!\s*\d)

来源：https://stackoverflow.com/questions/65735039/extract-iban-from-text-with-python