Download large file in python with requests
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:
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 afterr.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:
The temporary file route
Sometimes, we need to stream a response direct to a temporary file. It's easier than it sounds:
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):
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:
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