Simple image scraping in Python
Project description
Configurable, extensible image scraping for Python. Inspired by the design and internals of Kenneth Reitz’ Requests library.
>>> from snatch import snatch
>>> images = snatch('http://octodex.github.com/pythocat/')
>>> images.extensions
[u'png']
>>> images[1]
<Image ["pythocat.png"]>
>>> images[1].url
u'http://octodex.github.com/images/pythocat.png'
Easily usable, easily configurable:
>>> url = 'url/with/54/images'
>>> snatch(url)
<ImageList [54]>
# reduce your results by extension:
>>> _.with_extension('gif')
<ImageList [2]>
# or more explicitly limit your extension in the inital api call:
>>> snatch(url, with_extension=('gif',))
<ImageList [2]>
It’s also very easy to hook your own filters or operations into Snatch’s callbacks system. Let’s say you only wanted to capture images that were larger than 250 px wide:
import requests
import Image
from StringIO import StringIO
from snatch import snatch
def wider_than_250(images):
def filter_fn(image):
if image.width is None:
res = requests.get(image.src)
img = Image.open(StringIO(res.content))
image.width = img.size[0]
return image.width > 250
return filter(filter_fn, images)
url = 'http://octodex.github.com/images/pythocat.png'
callbacks = {'complete': wider_than_250}
images = snatch(url, callbacks=callbacks)
And even simpler to download all images from a URL:
import os
import requests
from snatch import snatch
directory = 'snatched-images'
if not os.path.exists(directory):
os.mkdir(directory)
for image in snatch('http://octodex.github.com/pythocat/'):
contents = requests.get(image.url).content
with open('%s/%s' % (directory, image.filename), 'w') as image_file:
image_file.write(contents)
Release History
0.1.0 (2013-10-12)
Initial write/scaffold, lots to fix/improve upon
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