The requests are made using a single session to reuse the session’s internal connection pool. It uses a single ClientSession and a task is created for each image that is being downloaded. The coroutine bulk_request() serves as the main entry point into the script’s chain of coroutines. Resp = await session.request(method="GET", url=url)Īsync with aiofiles.open(path, 'wb') as f: The asynchronous version of our script will look like this in the simplest version: import asyncio It allows to read and save files in a non-blocking manner.
aiofiles is a library for handling local disk files in asyncio applications. So our program will be executed in less time than its synchronous version because while we are waiting for a response from the server we can send another concurrent request which starts downloading the second image and so on.įirst, we will need to install the required packages: pip install aiohttp aiofilesĪlso, we need aiofiles package to save images on the local filesystem. It allows us to send multiple requests asynchronously to the image resource's server ( ). It's blazingly fast asynchronous HTTP Client/Server for asyncio and Python. Next, we will rewrite our program to use aiohttp library. On my laptop, it took approximately 33.983 seconds. url attribute.Īlso, we track the time to measure how much time it takes to download and save 25 images from the resource. When we send a request to the URL above it will redirect us to another URL like. Also, unique names will be given to images using function uuid4(). To extract the file extension we use packages os, urllib. images) keeping the downloaded image's extension. Let’s take a look at the full program: import osĮxtension = os.path.splitext(parse.urlsplit(response.url).path)Īs you can see the preceding script will download 25 images with defined sizes and saves them on the local file system (.
It will install the latest version of the package. It is not in Python's standard library, so first, we will need to install it.Īctivate your virtual environment and enter pip install requests. Our first script will use Python's the most popular package for HTTP requests: requests package. So our URL will be Using requests package In this script, we will get images with sizes 370x250 px. This resource allows downloading images with specified sizes.
In this tutorial, we will write a simple Python program that downloads random images from a resource called.
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