Email Validation in Python - Syntax, Disposable Domain & MX Check

Email Validation in Python — Syntax, Disposable Domain & MX Check Your email list is dirty. Invalid formats. Typos. Fake domains. Disposable accounts. When you send campaigns to bad addresses, your sender reputation drops. Emails land in spam. Unsubscribe rates spike. You need validation. Most tools charge $15-50/month. But validation is simple to code. Here's how to do it right in Python. The Three Levels of Email Validation Level 1: Syntax Validation (Basic) Check format: something@domain.com import re def validate_syntax ( email ): pattern = r ' ^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$ ' return re . match ( pattern , email ) is not None # Test print ( validate_syntax ( " john@example.com " )) # True print ( validate_syntax ( " invalid.email " )) # False print ( validate_syntax ( " john@.com " )) # False What it catches: Missing @, invalid characters, no domain What it misses: Fake domains, disposable addresses, inactive accounts Level 2: Disposable Domain Detection Block fak