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Strings & text

Format, split, join, parse, and clean text — everyday Python string patterns.

1 match
Strings & text easy

Extract Email-Like Tokens from Text in Python

Uses a regular expression to find all email-like tokens in a string, returning them as a list with re.findall.

regex email findall
Python 
import re

def extract_email_like_tokens(text):
    pattern = r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b'
    return re.findall(pattern, text)

if __name__ == "__main__":
    sample_text = (
        "Contact us at support@example.com or sales@company.co.uk. "
        "Invalid: hello@world, user@.com, test@do…
17 0 Open

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