aws | python | boto3 | Delete all objects from a bucket

This article is to give you a small piece of code that can help you delete all objects from a bucket on aws using boto3 and python.

Code is in python

import boto3

s3 = boto3.client('s3')

def delete_all_bucket_objects(bucket_name):
    try:
        # Get all objects in the bucket
        response = s3.list_objects_v2(Bucket=bucket_name)

        # Check if there are any objects in the bucket
        if 'Contents' in response:
            objects = response['Contents']

            # Delete each object
            for obj in objects:
                s3.delete_object(Bucket=bucket_name, Key=obj['Key'])
                
            print(f"All objects deleted from bucket: {bucket_name}")
        else:
            print(f"The bucket: {bucket_name} is empty.")
            
    except Exception as e:
        print(f"Error: {e}")


delete_all_bucket_objects('invoices-linaro-org')

Python Package needed

pip install boto3

About Boto3

In today’s digital landscape, cloud computing has become an integral part of businesses, offering scalable and flexible solutions for various computing needs. Amazon Web Services (AWS) stands as a leading cloud service provider, and managing resources on AWS can be a complex task. This is where Boto3, a powerful Python library, comes into play, making AWS management more accessible and efficient.

What is Boto3?

Boto3 is the Amazon Web Services (AWS) Software Development Kit (SDK) for Python. It provides an easy-to-use and comprehensive interface to interact with AWS services using Python programming. With Boto3, developers can automate tasks, manage resources, and build applications that utilize various AWS services, all within the familiar environment of Python programming.

Amazon Web Services (AWS): Empowering the Cloud Computing Landscape

In the realm of modern technology, cloud computing has emerged as a cornerstone of innovation, offering unparalleled scalability, flexibility, and efficiency to businesses and individuals alike. At the forefront of this revolution stands Amazon Web Services (AWS), the industry’s premier cloud service provider.

AWS provides a comprehensive suite of cloud computing services that cater to a wide array of needs, from computing power and storage to databases, analytics, machine learning, and more. With data centers strategically located across the globe, AWS ensures low-latency access to resources, facilitating seamless operations for businesses of all sizes.

One of AWS’s core strengths lies in its ability to empower businesses to innovate without the constraints of upfront infrastructure costs. This pay-as-you-go model enables organizations to scale resources up or down based on demand, promoting cost-efficiency and eliminating the need for complex hardware maintenance.

Furthermore, AWS’s security measures and compliance certifications instill confidence in users, safeguarding sensitive data and ensuring regulatory compliance across various industries. Its user-friendly management console, along with powerful tools like AWS Management Console and AWS Command Line Interface (CLI), streamlines resource management and deployment.

In conclusion, Amazon Web Services continues to reshape the digital landscape by revolutionizing how businesses approach computing resources. As technology evolves, AWS remains a driving force, allowing companies to unlock new potentials, drive innovation, and navigate the ever-changing demands of the digital age.

Happy Pythoning 🙂

You can red this same article at my medium blog here.