Master Python File Downloads: Requests, Wget, urllib, Boto3 & Asyncio
This tutorial walks you through using various Python modules—including requests, wget, urllib, urllib3, boto3, and asyncio—to download regular files, web pages, Amazon S3 objects, handle redirects, large files, parallel downloads, proxies, and progress bars, all with clear code examples.
1. Using requests
You can download a file from a URL with requests.get(url) and write the response content to a local file.
2. Using wget
Install the wget module via pip and call wget.download(url, path) to fetch files such as the Python logo.
3. Downloading redirected files
Set allow_redirects=True in requests.get to follow HTTP redirects and save the final target file.
4. Chunked download of large files
Enable streaming with requests.get(url, stream=True), write data in 1024‑byte chunks, and optionally display a progress bar using the clint module.
5. Parallel / batch download
Import ThreadPool (along with os and time) to run multiple download threads, defining a helper function that writes each response to a file.
6. Using urllib
Download a webpage with the standard library function urllib.request.urlretrieve(url, filename), specifying the target file name.
7. Download via proxy
Create a ProxyHandler, build an opener with urllib.request.build_opener, and fetch the page through the proxy.
8. Using urllib3
Install urllib3, create a PoolManager, and download content, optionally using shutil to write the response to a file.
9. Downloading from Amazon S3 with boto3
Install boto3, configure AWS credentials, create an S3 resource via boto3.resource('s3'), and call download_file(bucket, key, filename) to retrieve objects.
10. Asynchronous download with asyncio
Define async functions using async def and await, build a task queue of URLs, and run the event loop with asyncio.get_event_loop() and run_until_complete to download files concurrently.
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