Master Python File Downloads: Requests, Wget, Asyncio, S3, and More

1. Using requests

You can download a file from a URL with the requests module. Call requests.get(url) and write response.content to a local file.

2. Using wget

Install the wget module via pip install wget and use wget.download(url, filename) 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 file.

4. Chunked download of large files

Enable streaming with stream=True, iterate over response.iter_content(chunk_size=1024), and write each chunk to the file. This approach works well for large files.

5. Parallel / batch downloading multiple files

Use ThreadPool (or concurrent.futures) together with os and time to download several files concurrently, measuring total time.

6. Adding a progress bar

Install the clint module and wrap the write loop with clint.textui.bar to display download progress.

7. Downloading webpages with urllib

urllib.request.urlretrieve(url, filename)

saves a webpage to a local .html file without extra installation.

8. Downloading through a proxy

Configure a ProxyHandler, build an opener with urllib.request.build_opener, and open the URL through the proxy.

9. Using urllib3

Install urllib3 via pip, create a PoolManager, and fetch a URL, writing the response to a file.

10. Downloading from Amazon S3 with boto3

Install awscli and boto3, configure credentials, then use boto3.resource('s3') and download_file(bucket, key, filename) to retrieve objects.

11. Asynchronous download with asyncio

Define async functions using async def and await, create a coroutine that downloads a file, and run it with an event loop ( asyncio.get_event_loop() or asyncio.run()).

Using these techniques, you can efficiently download files of any size or source in Python.