How to Run Cron Jobs in Python?

Cron jobs are automated tasks that run on a predefined schedule. They are commonly used for periodic jobs, such as data processing, sending emails, or performing system maintenance. In Python, you can easily schedule and execute cron jobs using the croniter library. In this guide, we will explore how to run cron jobs in Python and automate your tasks effectively.

Installing the croniter Library

To get started with running cron jobs in Python, you need to install the croniter library. Open your terminal or command prompt and run the following command:

pip install croniter

This command will install the croniter library and make it available for your Python projects.

Scheduling and Running Cron Jobs

Once you have installed the croniter library, you can begin scheduling and running cron jobs in your Python application. Here's a step-by-step process to help you get started:

  1. Import the necessary modules:
import datetime
from croniter import croniter
  1. Define your cron job function:
def my_cron_job():
    # Your cron job logic here
  1. Create a cron schedule expression:
cron_expression = '0 0 * * *'

The example above sets the cron schedule to run at midnight every day. You can customize the cron expression based on your specific scheduling requirements. Visit the croniter documentation for more details on how to define cron expressions.

  1. Check if the cron job should be executed:
iter = croniter(cron_expression,
if iter.get_next(datetime.datetime) ==

The code snippet above uses croniter to check if the current time matches the cron schedule. If they match, the my_cron_job function is executed.

  1. Execute the cron job on a regular interval:
while True:
    if iter.get_next(datetime.datetime) <=
    time.sleep(60)  # Wait for 60 seconds before checking again

The above code creates an infinite loop that continuously checks if the cron job should be executed. It sleeps for 60 seconds between each check to avoid excessive CPU usage.

Example: Running a Cron Job to Send Daily Email Reports

Let's walk through an example scenario of running a cron job in Python to send daily email reports. Here's a code snippet that demonstrates how to accomplish this using the croniter library and the smtplib module:

import datetime
from croniter import croniter
import smtplib
from email.mime.text import MIMEText

def send_daily_report():
    # Logic to generate and send the daily report via email
    # ...

    # Email configuration
    sender_email = ''
    receiver_email = ''
    subject = 'Daily Report'
    message = 'This is the daily report.'

    # Create the email
    email = MIMEText(message)
    email['Subject'] = subject
    email['From'] = sender_email
    email['To'] = receiver_email

    # Send the email
    with smtplib.SMTP('', 587) as smtp:
        smtp.login('your_username', 'your_password')

cron_expression = '0 9 * * *'  # Schedule the cron job to run at 9:00 AM every day
iter = croniter(cron_expression,

while True:

 if iter.get_next(datetime.datetime) <=
    time.sleep(60)  # Wait for 60 seconds before checking again

In this example, the cron job is scheduled to run at 9:00 AM every day (0 9 * * *). The send_daily_report function contains the logic to generate and send the daily report via email. You can replace the placeholder logic with your actual report generation and email sending implementation.


Running cron jobs in Python allows you to automate tasks and execute them on a predefined schedule. The croniter library provides an easy way to schedule and run cron jobs in your Python applications. By following the steps outlined in this guide, you can start scheduling and executing cron jobs to automate various tasks in your Python projects. Experiment with different cron schedules and leverage the power of automation in your applications.

Palzin Monitor Palzin Monitor offers comprehensive cron job monitoring capabilities, allowing you to monitor the execution status, set up alerts, and analyze the performance of your scheduled tasks. With Palzin Monitor, you can ensure the reliability and timely execution of your cron jobs.

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