Using an email validator Python is a great way to make sure that the addresses you collect from your users are formatted correctly. Incorrectly formatted emails can lead to errors, confusion, and even spam complaints.
There are many ways to validate email addresses in Python, including the built-in email module and third-party libraries like py_email_validator or valid_email. These libraries provide more robust validation than the simple Regex patterns used by the built-in email module, as they check not only the syntax of an address but also verify that the domain name actually exists and that it is not a known spamming domain, that the MX records match, and more.
Email Validator with Python: A Practical Guide
An additional benefit of using email-validating Python libraries is that they can help you normalize an address. This is because end-users may enter their email addresses in different, un-normalized forms when creating an account, querying your database, or sending outbound emails. To avoid this problem, you should always use the normalized form returned by the validation function.
This code validates an email address by contacting the SMTP server and checking whether the described domain exists. It also verifies that the email address is in the local part of the domain, not in the global one. If the smptputf8 argument is True, the code checks that the local part of the domain only contains ASCII characters.
This is a basic email validation solution, but it doesn’t take into account anti-spam practices like greylisting and rate limits when pinging the server to verify an address. This is why it’s important to use a dedicated email verification platform that can handle these issues and verify large lists of addresses effectively in a reasonable amount of time.
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