This approach connects to a container, retrieves a list of all blobs, and saves them to a local directory.

To download a subset of files, use list_blobs(name_starts_with="prefix") to target specific virtual directories or naming conventions.

You will also need your , which can be found in the Azure Portal under your Storage Account’s "Access keys" section. Method 1: Download All Blobs in a Container

import os from azure.storage.blob import BlobServiceClient # Setup connection blob_service_client = BlobServiceClient.from_connection_string("your_connection_string") container_client = blob_service_client.get_container_client("container_name") local_path = "./downloaded_files" os.makedirs(local_path, exist_ok=True) # Iterate and download for blob in container_client.list_blobs(): file_path = os.path.join(local_path, blob.name) os.makedirs(os.path.dirname(file_path), exist_ok=True) blob_client = container_client.get_blob_client(blob.name) with open(file_path, "wb") as f: f.write(blob_client.download_blob().readall()) Use code with caution. Method 2: Download by Prefix (Virtual Folders)

To download multiple files from Azure Blob Storage using Python, you must iterate through the blobs in a container using the list_blobs() method and download each individually using a BlobClient . While the Python SDK does not offer a single "download all" command, you can easily automate this process for entire containers, specific virtual directories, or files matching a prefix. Prerequisites

For better performance with many small files, use azure.storage.blob.aio to handle downloads concurrently, reducing total execution time. Key Considerations