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Python Validate Email: The Easy Way

Python is a world-famous programming language because it’s easier to learn for beginner coders. We can build whatever we want with python. Whether it is a game or a software everything. But many don’t know or don’t utilize one great thing we can do with Python which is validating emails with Python. Yes, you heard it right. You can use Python to validate the given email address to see if it’s valid or not.

In this post, we are gonna talk about validating emails in Python. We will also give a live example of 2 different great methods on how Python Validate Email.

What Is Email Validation?

Simply, Email validation is a process that identifies email addresses if it’s valid or invalid. This simple process has helped online businesses stop their bouncing rates skyrocket. Email validation can be handy if you’re an online business owner or if you have a list of emails you need to see if they are deliverable or not.

If it’s still not clear to you. Then, you might check out this blog post about What is Email Validation & How Can It Be Helpful. This should make your thoughts more clear.

Why Should You Validate An Email Address?

Well, there can be a number of reasons you might want to validate an email address. But the most common one is that you might want to validate your email list to keep it clean, and increase deliverability or you might be annoyed with the high bounce rate of your email campaigns. So you can get the help of email validation. But email validation is a very serious matter. Many people don’t take it too seriously. Because in their eyes if they are unable to reach one or two more emails then it doesn’t matter that much. 

But the reality is it does. Well, I am not saying that reaching one or two more emails is really important. But if you’re sending emails on a regular basis. Getting a high bounce rate which you will often face if you don’t do proper email validation will decrease the value of your sender profile. Then, your emails won’t end up in the inbox anymore. It’s more likely to land on the promotions or the spam box. And in the worst-case scenario, it can eventually get your email account banned.

So, I think you have learned that email validation is a very serious matter for online business. Stick around till the end then you might find the best way to do email validation.

What Does An Email Contain?

There are many different email address formats, but the most common is the one with the @ symbol in the middle of the personal info and the domain.

Personal info can contain anything letters, numeric characters, numeric numbers, etc. And the second part can be your email provider or a custom domain name of your website if you set up your domain accordingly. Normally, it’s either gmail.com, yahoo.com, outlook.com, or the email provider you’re using.

How To Use Python To Validate Email?

Python Validate Email: The Easy Way, Python Email Validation
Python Validate Email: The Easy Way

Now that you have a good idea about why you should validate email addresses we can start to give you enough knowledge about python email validation. First, let’s talk about regex. Why regex? What is regex? Hold a minute you will find your answers in a few moments.

Regex

Regex is also known as regular expressions. These are present in every programing language. If a series of characters defines a search pattern then we can call it a regex or regular expression. Mostly we use these patterns to use such operations as “find” or “find and replace” etc. 

Python Validate Email

If you have read all this through then you might already know what is email validation and why is it important. Email validation can be done in many ways. Doing the process in Python is just one of them.

So, the way we would identify email addresses in Python is by seeing if the email is in the regular format or order. For example, a regular email’s format would look like this – “[email protected]”. Now, you might be thinking that how can you know which is the first and which is the last name. It is completely based on the user’s part.

Now, Let’s see the two methods I was talking about email validation in Python. These two are the most common methods people use to Python Validate Email:

Method #1 Of How Python Validate Email

In this method, we would mainly use the “re” package to validate emails.

import re   
  
regex = '^[a-z0-9]+[\._]?[a-z0-9]+[@]\w+[.]\w{2,3}$'  
  
def check(email):   
  
    if(re.search(regex,email)):   
        print("Valid Email")   
    else:   
        print("Invalid Email")   
      
if __name__ == '__main__' :   
      
    email = "[email protected]"  
    check(email)   
  
    email = "[email protected]"  
    check(email)   
  
    email = "[email protected]"  
    check(email)   

Now, I know you might be a little confused seeing the code lines. If you want to be the average person you can just copy the code and get it done. But if you really want to get to know about this code more then you need to stick around. So, you might be a little baffled seeing the line where it goes “^[a-z0-9]+[\._]?[a-z0-9]+[@]\w+[.]\w{2,3}$”

So, these are regex codes. You might don’t know which means what. So, to understand this line properly you gotta see this:

Regular ExpressionsDescription
foo.*# Matches any string starting with foo
\d*# Match any number of decimal digits
[a-zA-Z]+# Match a sequence of one or more letters
textMatch literal text
.Match any character except newline
^Match the start of a string
$Match the end of a string
*Match 0 or more repetitions
+Match 1 or more repetitions
?Match 0 or 1 repetition
+?Match 1 or more, as few as possible
*?Match 0 or more, as few as possible
{m,n}Match m to n repetitions
{m,n}?Match m to n repetitions, as few as possible
[…]Match a set of characters
[^…]Match characters, not in a set
A | BMatch A or B (…) Match regex in parenthesis as a group
\numberMatches text matched by the previous group
\AMatches start of the string
\bMatches empty string at the beginning or end of the word
\BMatches empty string not at begin or end of the word
\dMatches any decimal digit
\DMatches any non-digit
\sMatches any whitespace
\SMatches any non-whitespace
\wMatches any alphanumeric character
\WMatches characters not in
\w \ZMatch at end of the string.
\\Literal backslash
Python Validate Email Regex

Hope you have understood what we did there.

Method #2 Of How Python Validate Email

Now, let’s suppose you really do not understand the code or you want to do email validation a little fast and upload a bulk email list. You can’t do that with method #1 right? But don’t worry I got you covered. So you can use some email validation services which would really speed up your email validation process. One of the best email validation services we recommend is ZeroBounce. They have it all. You can bulk upload an email list to verify them or you can integrate them with your email service provider so that they can validate the emails automatically.

If you’re unsure about the email validation services. Then, read this article about Best Email Validation Services Of 2022 – Details & Pricing. You will get a clear idea of some of the best email validation services.

Conclusion

Thank you so much for reading it to the end. Really appreciate your time Don’t get me wrong but there are better ways to do email validation without python. Which takes less time and enables the feature to bulk upload email lists. So if you really step up your email validation process then I highly recommend checking out ZeroBounce.

There you have it Python Validate Email: The Easy Way

Thanks For Reading All The Way Through!

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