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What's the Most Efficient Way to Download Images with Python's Requests Module?

Barbara Streisand
Release: 2024-12-16 02:21:13
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What's the Most Efficient Way to Download Images with Python's Requests Module?

How to Download Images Efficiently Using Requests

When downloading images from the web using Python's requests module, it's important to understand the proper use of response elements. This article addresses the question of which attribute to utilize for image downloads.

One approach involves accessing the response.raw file object. This method allows for direct access to the image data, but it requires configuring the decode_content attribute to ensure proper decoding of compressed responses. Subsequently, the shutil.copyfileobj() function can be used to stream the data to the desired file. Here's an example:

import requests
import shutil

r = requests.get(settings.STATICMAP_URL.format(**data), stream=True)
if r.status_code == 200:
    with open(path, 'wb') as f:
        r.raw.decode_content = True
        shutil.copyfileobj(r.raw, f)  
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Alternatively, you can iterate over the response to ensure data decompression. This method guarantees that data is processed in smaller chunks.

import requests

r = requests.get(settings.STATICMAP_URL.format(**data), stream=True)
if r.status_code == 200:
    with open(path, 'wb') as f:
        for chunk in r:
            f.write(chunk)
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You can customize the chunk size by using the Response.iter_content() method:

import requests

r = requests.get(settings.STATICMAP_URL.format(**data), stream=True)
if r.status_code == 200:
    with open(path, 'wb') as f:
        for chunk in r.iter_content(1024):
            f.write(chunk)
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Remember to open the destination file in binary mode to avoid any unexpected transformations. Additionally, setting the stream=True parameter prevents the entire image from being downloaded into memory at once. By following these guidelines, you can download images efficiently using Python's requests module.

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