Email regex Python

The regular expressions below can be used to validate if a string is an email address and to extract email addresses from a string. This validation method however does not guarantee that the emails validated and extracted actually exist.

The basic validation

A simple Python regex to validate string against email format and catch the most obvious syntax errors:

r"^\S+@\S+\.\S+$"

Test it!

/^\S+@\S+\.\S+$/

True

False

Enter a text in the input above to see the result

Example code in Python:

# Validate email address
import re

email_validate_pattern = r"^\S+@\S+\.\S+$"
re.match(email_validate_pattern, "[email protected]") # Returns <re.Match object; span=(0, 17), match='[email protected]'>

# Extract email addresses from a string
extract_email_pattern = r"\S+@\S+\.\S+"
re.findall(extract_email_pattern, 'You can reach me out at [email protected] and [email protected]') # returns ['[email protected]', '[email protected]']

The more complex email regex

This Python regular expression will match 99% of valid email addresses and will not pass validation for email addresses that have, for instance:

Dots in the beginning
Multiple dots at the end

But at the same time it will allow part after @ to be IP address.

r"^[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*@(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?$"

Test it!

/^[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*@(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?$/

True

False

Enter a text in the input above to see the result

Example code in Python:

import re

pattern = r"^[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*@(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?$"
re.match(pattern, '[email protected].') # Returns None
re.match(pattern, '[email protected]') # Returns <re.Match object; span=(0, 17), match='[email protected]'>

RFC 5322 compliant regex

This Python regular expression is compliant to RFC 5322 standard which allows for the most complete validation. Usually, you should not use it because it is an overkill. In most cases apps are not able to handle all emails that this regex allows.

"(?:[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*|\"(?:[\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x21\\x23-\\x5b\\x5d-\\x7f]|\\\\[\\x01-\\x09\\x0b\\x0c\\x0e-\\x7f])*\")@(?:(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?|\\[(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?|[a-z0-9-]*[a-z0-9]:(?:[\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x21-\\x5a\\x53-\\x7f]|\\\\[\\x01-\\x09\\x0b\\x0c\\x0e-\\x7f])+)\\])"

Test it!

/(?:[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*|"(?:[\x01-\x08\x0b\x0c\x0e-\x1f\x21\x23-\x5b\x5d-\x7f]|\\[\x01-\x09\x0b\x0c\x0e-\x7f])*")@(?:(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?|\[(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?|[a-z0-9-]*[a-z0-9]:(?:[\x01-\x08\x0b\x0c\x0e-\x1f\x21-\x5a\x53-\x7f]|\\[\x01-\x09\x0b\x0c\x0e-\x7f])+)\])/

True

False

Enter a text in the input above to see the result

Example code in Python:

import re

pattern = "(?:[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*|\"(?:[\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x21\\x23-\\x5b\\x5d-\\x7f]|\\\\[\\x01-\\x09\\x0b\\x0c\\x0e-\\x7f])*\")@(?:(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?|\\[(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?|[a-z0-9-]*[a-z0-9]:(?:[\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x21-\\x5a\\x53-\\x7f]|\\\\[\\x01-\\x09\\x0b\\x0c\\x0e-\\x7f])+)\\])"
re.match(pattern, "[email protected]") # Returns <re.Match object; span=(0, 17), match='[email protected]'>

Extra information about validating email

As was stated previously, Python regex email validation can not fully guarantee that email exists and the message can be delivered. The best way how to know for sure that email is valid is to actually send an email to that address because even paid email validation services do not provide a 100% guarantee for that.

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