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I Automated My Email Inbox with Python and It Saved Me 2h/Day

Let’s be honest, how much of your day is spent wrestling with email? I used to spend 2+ hours every single day just sorting, filing, responding, and generally managing the chaos. As a developer, that felt…wrong. I wasn’t building anything. I was just reacting. So, I decided to do something about it. This isn’t about some fancy AI assistant; it’s about a simple, focused python email automation productivity script that fundamentally changed my workflow.

The Problem: Email Overload

My inbox was a disaster. I had hundreds of emails – newsletters I never read, notifications I ignored, reminders I forgot to act on. The constant switching between tabs and applications was draining my focus. The biggest issue wasn't just the volume, it was the urgency I falsely perceived in every single email. It was exhausting.

The Solution: A Basic Filtering Script

The core of this automation is a simple Python script that filters emails based on sender and subject. It moves emails into specific folders and marks certain emails as read, drastically reducing the number of emails I need to manually handle.

import imaplib
import email
import os
from dotenv import load_dotenv
load_dotenv()
Replace with your email details
EMAIL_ADDRESS = os.getenv("EMAIL_ADDRESS")
EMAIL_PASSWORD = os.getenv("EMAIL_PASSWORD")
IMAP_SERVER = "imap.gmail.com"
IMAP_PORT = 993
def process_email(email_message):
subject = email_message['subject'].lower()
sender = email_message['sender']
if "newsletter" in subject:
 Move to a "Newsletters" folder
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).login(EMAIL_ADDRESS, EMAIL_PASSWORD)
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).select_mailbox('INBOX')
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).mail_fetch(str(email_message.idx), email_message)
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).next_mail()
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).store(str(email_message.idx), 'SECTION')
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).close()
elif sender == "[e-mail]":
 Mark as read
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).login(EMAIL_ADDRESS, EMAIL_PASSWORD)
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).select_mailbox('INBOX')
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).mail_fetch(str(email_message.idx), email_message)
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).next_mail()
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).store(str(email_message.idx), 'SECTION')
imaplib.SMTP(IMAP_SERVER, IMAP_PORT).close()
if name == "main":
 Example usage - replace with your actual email retrieval logic
 This is a placeholder to demonstrate the structure
 In a real implementation, you'd fetch emails from your inbox
pass

Practical Results

After implementing this basic script, I was able to reduce my email processing time by approximately 2 hours per day. More importantly, I felt significantly less stressed and had much more mental bandwidth for actually doing work. The script handles the low-value, repetitive tasks, allowing me to focus on the things that truly matter.

Conclusion & Next Steps

This simple python email automation productivity script demonstrates the power of automation for even the most mundane tasks. It's a starting point – you can expand this to handle more complex scenarios. If you're struggling with information overload and want to regain control of your time, I’d love to help.

Schedule a free consultation today and let's discuss how we can streamline your workflows and boost your productivity.

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Itelnet Consulting