检查电子邮件使用email_validator

from email_validator import validate_email, EmailNotValidError

def check_email(email):
    try:
        v = validate_email(email)  # validate and get info
        email = v["email"]  # replace with normalized form
        print("True")
    except EmailNotValidError as e:
        # email is not valid, exception message is human-readable
        print(str(e))

check_email("test@gmailcom")

电子邮件地址并不像看上去那么简单!例如，Bob_O'Reilly+tag@example.com是一个有效的电子邮件地址。

我在lepl包(http://www.acooke.org/lepl/)上有一些运气。它可以验证RFC 3696中指出的电子邮件地址:http://www.faqs.org/rfcs/rfc3696.html

找到一些旧代码:

import lepl.apps.rfc3696
email_validator = lepl.apps.rfc3696.Email()
if not email_validator("email@example.com"):
    print "Invalid email"

The only really accurate way of distinguishing real, valid email addresses from invalid ones is to send mail to it. What counts as an email is surprisingly convoluted ("John Doe" <john.doe@example.com>" actually is a valid email address), and you most likely want the email address to actually send mail to it later. After it passes some basic sanity checks (such as in Thomas's answer, has an @ and at least one . after the @), you should probably just send an email verification letter to the address, and wait for the user to follow a link embedded in the message to confirm that the email was valid.

在电子邮件输入上使用此过滤器掩码: emailMask: / (\ w .\-@'"!#$%&'*+/=?^ _{|} ~) /我

检查电子邮件使用email_validator

from email_validator import validate_email, EmailNotValidError

def check_email(email):
    try:
        v = validate_email(email)  # validate and get info
        email = v["email"]  # replace with normalized form
        print("True")
    except EmailNotValidError as e:
        # email is not valid, exception message is human-readable
        print(str(e))

check_email("test@gmailcom")

"^[\w\.\+\-]+\@[\w]+\.[a-z]{2,3}$"