Azure blob read using python

When working with Azure Blob Storage in Python, there are multiple ways to read data from a blob. In this article, we will explore three different approaches to solve the problem of reading Azure blobs using Python.

Approach 1: Using the Azure Storage SDK

The first approach involves using the Azure Storage SDK for Python. This SDK provides a high-level interface to interact with Azure Blob Storage. To read a blob using this approach, you need to install the Azure Storage SDK by running the following command:

pip install azure-storage-blob

Once the SDK is installed, you can use the following code to read a blob:

from import BlobServiceClient

connection_string = "your_connection_string"
container_name = "your_container_name"
blob_name = "your_blob_name"

blob_service_client = BlobServiceClient.from_connection_string(connection_string)
blob_client = blob_service_client.get_blob_client(container=container_name, blob=blob_name)

blob_data = blob_client.download_blob()
content = blob_data.readall()


This code establishes a connection to the Azure Blob Storage using the connection string, container name, and blob name. It then downloads the blob data and reads its content. Finally, it prints the content of the blob.

Approach 2: Using the requests library

If you prefer a more lightweight approach, you can use the requests library to read the blob data. This approach does not require installing any additional libraries. Here’s an example code snippet:

import requests

url = ""
response = requests.get(url)

content = response.content


In this code, we use the requests library to send a GET request to the URL of the blob. The response object contains the content of the blob, which we can access using the content attribute. Finally, we print the content of the blob.

Approach 3: Using the Azure CLI

If you have the Azure CLI installed, you can also read a blob using the command-line interface. This approach is useful if you prefer working with the command line or need to automate the process. Here’s an example command:

az storage blob download --account-name your_storage_account --container-name your_container_name --name your_blob_name --file output.txt

This command downloads the blob and saves it to a file named output.txt. You can then read the content of the file using Python code.

After exploring these three approaches, it is clear that the best option depends on your specific requirements. If you are already using the Azure Storage SDK for Python in your project, it makes sense to use Approach 1. If you prefer a lightweight solution without any additional dependencies, Approach 2 is a good choice. Finally, if you need to automate the process or prefer working with the command line, Approach 3 using the Azure CLI is the way to go.

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