The boto3.client is generally faster and more thread-safe than boto3.resource .
If your bucket is in a specific region (e.g., us-west-2 ), specify that region when creating your client to reduce latency. If you'd like to dive deeper, let me know: Do you need to download private files using Presigned URLs ? Are you working with AWS Lambda (memory constraints)? boto3 download files
from botocore.exceptions import ClientError try: s3.download_file('my-bucket', 'secret.pdf', 'secret.pdf') except ClientError as e: if e.response['Error']['Code'] == "404": print("The object does not exist.") else: print(f"An error occurred: {e}") Use code with caution. Best Practices 💡 The boto3
This method is used when you want to download a file into a file-like object (like io.BytesIO ) rather than saving it to disk immediately. This is useful for processing data in memory. Are you working with AWS Lambda (memory constraints)
import io f = io.BytesIO() s3.download_fileobj('my-bucket-name', 'data.csv', f) # Move to the start of the file-like object to read it f.seek(0) print(f.read().decode('utf-8')) Use code with caution. 3. get_object()
Boto3 does not have a native download_directory function. To download a "folder" (which is actually just a prefix in S3), you must list the objects and download them individually.
This is a low-level method that returns a dictionary containing the object's metadata and a streaming body. Use this if you need to inspect headers (like Content-Type) before reading the data.