Downloading Files in Python Using requests, wget, urllib, boto3, and asyncio

This article teaches how to download files from the web using Python, covering regular files, web pages, Amazon S3 objects, and other resources.

1. Using requests : Perform a GET request with requests.get(url) , store the response in a variable (e.g., myfile ), and write the content to a local file.

2. Using wget module: Install via pip install wget and download a file with wget.download(url, out_path) .

3. Handling redirects and large files: Use requests.get(url, allow_redirects=True, stream=True) , open a file in binary mode, and write the response in 1024‑byte chunks until the download completes.

4. Parallel/batch downloading: Import os , time , and ThreadPool (or similar) to run multiple download threads, measure execution time, and optionally replace a simple for loop with a thread pool for faster downloads.

5. Adding a progress bar: Install the clint library and wrap the chunk‑writing loop with clint.textui.progress.bar to display download progress.

6. Using urllib : The standard library’s urllib.request.urlretrieve(url, filename) can download a webpage or file without extra dependencies.

7. Using urllib3 : Install via pip install urllib3 , create a PoolManager , and download content with http.request('GET', url) , offering better connection pooling.

8. Downloading through a proxy: Create a ProxyHandler with proxy settings, build an opener with urllib.request.build_opener(proxy) , and fetch the URL through the proxy.

9. Downloading from Amazon S3 with boto3 : Install boto3 and awscli , configure credentials, create an S3 resource via boto3.resource('s3') , and call Bucket.download_file(key, local_path) to retrieve objects.

10. Asynchronous downloading with asyncio : Define async coroutines using async def , await network operations, and run them in an event loop with asyncio.get_event_loop().run_until_complete() for concurrent downloads.