boto3 upload file to s3 with code examples

Boto3 is the Amazon Web Services (AWS) SDK for Python, which allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2. In this article, we will demonstrate how to use Boto3 to upload a file to an S3 bucket.

To get started, you will need to have the following:

• An AWS account
• Access keys for the AWS account (you can find these in the IAM section of the AWS Management Console)
• The Boto3 library installed on your machine (you can install it via pip by running pip install boto3)

Once you have these items, you can proceed to the following steps:

1. Import the necessary modules from Boto3:

import boto3

2. Create a client for S3 using the access keys:

s3 = boto3.client('s3', aws_access_key_id='YOUR_ACCESS_KEY', aws_secret_access_key='YOUR_SECRET_KEY')

3. Upload the file to S3:

s3.upload_file('path/to/file', 'bucket_name', 'file_name_on_s3')

In the above example, path/to/file is the path to the file on your local machine, bucket_name is the name of the S3 bucket where you want to upload the file, and file_name_on_s3 is the name you want the file to have in S3.

Here's an example of how you could upload a file called "image.jpg" in your local machine to an S3 bucket called "my-bucket" with the same file name.

import boto3

#creating s3 client
s3 = boto3.client('s3', aws_access_key_id='YOUR_ACCESS_KEY', aws_secret_access_key='YOUR_SECRET_KEY')

#uploading file
s3.upload_file('image.jpg', 'my-bucket', 'image.jpg')

You can also use the boto3.resource method to create a resource object for S3, which allows you to perform additional operations on the bucket and its contents. Here's an example of how you could use the boto3.resource method to upload a file:

import boto3

#creating s3 resource
s3 = boto3.resource('s3', aws_access_key_id='YOUR_ACCESS_KEY', aws_secret_access_key='YOUR_SECRET_KEY')

#uploading file
s3.Bucket('my-bucket').upload_file('image.jpg', 'image.jpg')

In this example, we first create an S3 resource object, then use it to access the "my-bucket" bucket, and then call the upload_file method on that bucket to upload the file "image.jpg" with the same name.

You can also set additional parameters like ExtraArgs to set metadata, Callback for progress bar, etc.

That's it! You should now have a file uploaded to your S3 bucket. You can verify this by going to the S3 section of
In addition to uploading files to S3, Boto3 also allows you to download files from S3, list the contents of a bucket, create and delete buckets, and set and retrieve bucket permissions and metadata.

For example, to download a file from S3, you can use the download_file method of the S3 client:

s3.download_file('bucket_name', 'file_name_on_s3', 'path/to/save/file')

In this example, bucket_name is the name of the S3 bucket where the file is located, file_name_on_s3 is the name of the file in S3, and path/to/save/file is the local path where you want to save the downloaded file.

To list the contents of a bucket, you can use the list_objects method of the S3 client:

response = s3.list_objects(Bucket='my-bucket')
for content in response.get('Contents'):
    print(content.get('Key'))

In this example, we first call the list_objects method on the S3 client, passing in the name of the bucket as a parameter. The method returns a response object containing information about the objects in the bucket. We can then iterate over the contents of the response and print the key (i.e. the name) of each object.

To create a new bucket, you can use the create_bucket method of the S3 client:

s3.create_bucket(Bucket='my-new-bucket')

In this example, we pass in the name of the new bucket as a parameter to the create_bucket method.

To delete a bucket, you can use the delete_bucket method of the S3 client:

s3.delete_bucket(Bucket='my-bucket')

In this example, we pass in the name of the bucket to be deleted as a parameter to the delete_bucket method.

To set or retrieve bucket permissions, you can use the put_bucket_acl and get_bucket_acl methods of the S3 client respectively:

# setting bucket permissions
s3.put_bucket_acl(
    Bucket='my-bucket',
    ACL='private'
)

# getting bucket permissions
response = s3.get_bucket_acl(
    Bucket='my-bucket'
)
print(response)

In the above example, we first set the permissions of the "my-bucket" bucket to "private" using the put_bucket_acl method. Then we get the current permissions of the "my-bucket" bucket using the get_bucket_acl method, which returns the permissions of the bucket in the form of a response object that we can print.

Similarly, you can set and retrieve bucket metadata using put_bucket_metadata and get_bucket_metadata method respectively.

It is also possible to perform these operations using the boto3.resource method. The boto3.resource method provides a higher-level interface for working with S3 and allows for more fine-grained control over the bucket and

Popular questions

1. How do I import the necessary modules from Boto3 to upload a file to S3?

You can import the necessary modules from Boto3 by running the following command:

import boto3

2. How do I create a client for S3 using Boto3?

You can create a client for S3 using the Boto3 client method and passing in the 's3' service as a parameter. You also need to pass in the access keys for your AWS account:

s3 = boto3.client('s3', aws_access_key_id='YOUR_ACCESS_KEY', aws_secret_access_key='YOUR_SECRET_KEY')

3. How do I upload a file to S3 using Boto3?

You can use the upload_file method of the S3 client to upload a file to S3. The method takes in three parameters: the path to the file on your local machine, the name of the S3 bucket where you want to upload the file, and the name you want the file to have in S3:

s3.upload_file('path/to/file', 'bucket_name', 'file_name_on_s3')

4. Can I use the boto3.resource method to upload a file to S3?

Yes, you can use the boto3.resource method to create a resource object for S3, which allows you to perform additional operations on the bucket and its contents, including uploading files. Here's an example of how you could use the boto3.resource method to upload a file:

import boto3

#creating s3 resource
s3 = boto3.resource('s3', aws_access_key_id='YOUR_ACCESS_KEY', aws_secret_access_key='YOUR_SECRET_KEY')

#uploading file
s3.Bucket('my-bucket').upload_file('image.jpg', 'image.jpg')

5. Can I set additional parameters while uploading a file to S3 using Boto3?

Yes, you can set additional parameters while uploading a file to S3. ExtraArgs can be used to set metadata, Callback can be used for progress bar, etc.

s3.upload_file('path/to/file', 'bucket_name', 'file_name_on_s3', ExtraArgs={'Metadata':{'Name':'MyFile'}},Callback=ProgressPercentage())

Tag

AWS