Explain Codes LogoExplain Codes Logo

Download large file in python with requests

python
file-downloading
requests-library
streaming
Nikita BarsukovbyNikita Barsukov·Feb 6, 2025
TLDR

Stream your large file download with the requests library in Python. Maintain efficiency by downloading in chunks and keep memory use in check. Here’s your quick solution:

import requests url = 'http://example.com/largefile.zip' # Replace with your file's URL with requests.get(url, stream=True) as r: r.raise_for_status() # Don't neglect error handling with open('largefile.zip', 'wb') as f: for chunk in r.iter_content(chunk_size=8192): f.write(chunk) # Write the chunk like it told a great joke

Remember to adjust 'http://example.com/largefile.zip' and 'largefile.zip' according to your file's URL and desired save location.

Accommodating different content types

Different content types like JSON or binary files require distinct processing methods. Make sure you know your file like the back of your keyboard:

  • Binary content recommends the streaming method above.
  • JSON data starts a party with r.json(), right after r.raise_for_status().

Confirm the Content-Type header is as predictable as your coffee order by checking r.headers['Content-Type'].

Error-proofing and file names extraction

Prevent unexpected HTTP errors or URL mishaps by introducing r.raise_for_status() immediately after making your request. If you're playing guessing games with the filename, try url.split('/')[-1] - it's fun!

Different strategies for downloading files

The urllib.request alternative

urllib.request.urlretrieve makes for a viable request alternative when emotions aren't involved:

import urllib.request urllib.request.urlretrieve('http://example.com/largefile.zip', 'largefile.zip')

The temporary file route

Sometimes, we need to stream a response direct to a temporary file. It's easier than it sounds:

import shutil from requests import get from tempfile import NamedTemporaryFile response = get('http://example.com/largefile.zip', stream=True) with NamedTemporaryFile(delete=False) as f: shutil.copyfileobj(response.raw, f) # Making a RAW deal here!

The wget module option

Always go simple when you can. Using the wget module is like sending a trained retriever (the wget dog) to fetch your frisbee (the large file):

import wget filename = wget.download('http://example.com/largefile.zip') # Go fetch, wget!

Optimizing your download

Memory management

Watch memory consumption like an eagle during download and adjust chunk_size for a good balance of speed and efficiency.

Disk write performance

To make sure data is written instantly to disk, f.flush() and os.fsync(f.fileno()) make a compelling duo.

Working with compressed content

When downloading gzipped content, you'll need to manually unpackage it like an eager kid on a Christmas morning:

if r.headers.get('Content-Encoding') == 'gzip': file_content = gzip.decompress(r.raw.read()) # Unwrapping a shiny new toy!