Comprehensive Guide to Downloading Files in Python Using Requests, wget, urllib, urllib3, Boto3, and asyncio

In this article we explore how to download files from the web using various Python modules, covering regular files, web pages, Amazon S3 objects, and other resources.

1. Using requests – a simple requests.get call stores the response in a variable and writes it to a file.

2. Using wget – install the module via pip install wget and call wget.download(url, path) to retrieve files such as images.

3. Downloading redirected files – use requests.get(url, allow_redirects=True) to follow redirects and save the final content.

4. Chunked download of large files – set stream=True in requests.get , iterate over chunks (e.g., 1024 bytes), and write each chunk to a file, optionally displaying a progress bar.

5. Parallel / batch download – import os , time , and a thread‑pool (e.g., ThreadPool ) to download multiple URLs concurrently, timing the operation.

6. Using wget for batch download – the same module can be called inside a loop or thread pool for multiple files.

7. Using urllib – the standard library’s urllib.request.urlretrieve saves a URL directly to a local file without extra installation.

8. Proxy download with urllib – create a ProxyHandler , build an opener, and fetch pages through the proxy.

9. Using urllib3 – install via pip install urllib3 , create a PoolManager , and download content with pool_manager.request , handling connections efficiently.

10. Downloading from Amazon S3 with boto3 – install boto3 and awscli , configure credentials, create an S3 resource, and call download_file(bucket, key, filename) .

11. Asynchronous download with asyncio – define async coroutines, use await for network calls, gather tasks, and run the event loop to download files concurrently.

The article concludes with encouragement to apply these techniques whenever a download requirement arises.