Can spam mailing address requirements

The infamous SPAM mailing address requirements!

To help prevent SPAM and ensure that your email campaigns reach their intended recipients, here are some common mailing address requirements:

Valid Email Address: The email address must be valid and existent. You can use a simple regex pattern to check if the email address is valid.
Domain Existence: The domain part of the email address (e.g., @example.com) must exist and be a valid domain.
TLD (Top-Level Domain): The TLD (e.g.,.com,.org,.net) must be a valid TLD.
No Typos: The email address should not contain typos or obvious errors.
No Disposable Email Services: The email address should not be from a disposable email service (e.g., 10minutemail.com, mailinator.com).
No Free Email Services: The email address should not be from a free email service (e.g., Gmail, Yahoo, Outlook).
No Publicly Available Email Lists: The email address should not be from a publicly available email list or a list of known SPAM traps.
No Email Addresses with Special Characters: The email address should not contain special characters (e.g., @, #, $, etc.) in the local part (before the @ symbol).
No Email Addresses with Spaces: The email address should not contain spaces in the local part.
Verify the Email Address: You can use a service like MailboxValidator or Clearbit to verify the email address and check if it's a valid, active email address.

By implementing these requirements, you can help reduce the amount of SPAM and ensure that your email campaigns are more effective.

Here's an example of how you could implement these requirements in a simple email validation script:

import re

def validate_email(email):
    # Check if the email address is valid
    if not re.match(r"^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$", email):
        return False

    # Check if the domain exists
    domain = email.split("@")[1]
    if not re.match(r"^[a-zA-Z0-9.-]+$", domain):
        return False

    # Check if the TLD is valid
    tld = domain.split(".")[-1]
    if not re.match(r"^[a-zA-Z]{2,}$", tld):
        return False

    # Check for typos and obvious errors
    if not re.match(r"^[a-zA-Z0-9._%+-]+$", email):
        return False

    # Check if the email address is from a disposable email service
    if re.match(r"^[a-zA-Z0-9._%+-]+@10minutemail\.com$", email):
        return False

    # Check if the email address is from a free email service
    if re.match(r"^[a-zA-Z0-9._%+-]+@gmail\.com|yahoo\.com|outlook\.com$", email):
        return False

    # Check if the email address is from a publicly available email list
    if re.match(r"^[a-zA-Z0-9._%+-]+@example\.com$", email):
        return False

    # Verify the email address using a service like MailboxValidator or Clearbit
    #...

    return True

Note that this is a simplified example and you may need to add more checks depending on your specific use case. Additionally, it's always a good idea to use a reputable email validation service to ensure that your email campaigns are delivered to the right people.

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Can spam mailing address requirements