I wrote this code over the last few days and I learned a lot, and it works as I expect. However I suspect it's woefully inefficient:

import requests, bs4, os

wallpaperFolder = os.makedirs('Wallpapers', exist_ok=True)

pageCount = 1
GalleryUrl = 'https://wall.alphacoders.com/search.php?search=Game+Of+Thrones&page=%s' % (pageCount)

linkList = []
while not GalleryUrl.endswith('page=3'):
    # Download the page
    GalleryUrl = 'https://wall.alphacoders.com/search.php?search=Game+Of+Thrones&page=%s' % (pageCount)
    print('Opening gallary... %s' % (GalleryUrl))
    res = requests.get(GalleryUrl)
    soup = bs4.BeautifulSoup(res.text, 'html.parser')

    # find urls to image page
    section = soup.find_all('div', attrs={'class': 'boxgrid'})

    for images in section:
        imageLink = images.find_all('a')
        for a in imageLink:
            imageUrl = a.get('href')
            print('Image found at... ' + imageUrl)
    linkCount = 0
# Follow links and download images on page.
    while linkCount != len(linkList):
        print('Downloading image at... %s' % (str(linkList[linkCount])))
        imagePageUrl = ('https://wall.alphacoders.com/' + str(linkList[linkCount]))
        res = requests.get(imagePageUrl)

        wallpaperSoup = bs4.BeautifulSoup(res.text, 'html.parser')

        link = wallpaperSoup.find(id='main_wallpaper')
        imageSrc = link['src']

        # Save image to folder

        res = requests.get(imageSrc)
        imageFile = open(os.path.join(os.getcwd(), 'Wallpapers', os.path.basename(imageSrc)), 'wb')
        for chunk in res.iter_content(12000):
        linkCount += 1

    # Move to next page and empty link list
    pageCount += 1
    del linkList[:]       


Aside from cutting the print statements and simply letting the program do its thing, how could I optimize this code to run more efficiently?


1 Answer 1


Halt. Stop right there. This assumes the script is located at some specific location. Desktop happens to be always in the same place, but this assumes the script to be in a place relative to Desktop. On what OS do you intent to run this? If it's Linux-only, you could replace it by:


Now it will work regardless of where the script is located. Of-course, you just made the problem worse for non-Linux systems.

Even better would be to ask where the user wants to drop his files, possibly by using arguments (take a look at argparse).

But why don't you simply drop it instead? A map named Wallpapers will simply be created in the current directory. This would be obvious and expected behaviour.

for images in section:
    imageLink = images.find_all('a')
    for a in imageLink:
        imageUrl = a.get('href')
        print('Image found at... ' + imageUrl)

This isn't your bottleneck (not by a long shot), but that second for reeks of bad time complexity for something simple as telling the user where the images are.

One of the major time-consumers appears to be the downloading itself.

I ran cProfile against your code to find the bottleneck(s):

python3 -m cProfile -s tottime CR_133564.py

This automatically sorts the output on the total time taken per function, highest first. Don't forget to import cProfile. Let's take a look at everything with a total time higher than 0.5 seconds:

         8989953 function calls (8984594 primitive calls) in 108.880 seconds

   Ordered by: internal time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
    20393   59.314    0.003   59.314    0.003 {method 'read' of '_ssl._SSLSocket' objects}
      183   28.853    0.158   28.853    0.158 {method 'do_handshake' of '_ssl._SSLSocket' objects}
      183    9.689    0.053    9.689    0.053 {method 'connect' of '_socket.socket' objects}
      183    1.547    0.008    1.548    0.008 {built-in method _socket.getaddrinfo}
      183    1.005    0.005    1.005    0.005 {method 'load_verify_locations' of '_ssl._SSLContext' objects}
    78129    0.621    0.000    3.383    0.000 parser.py:301(parse_starttag)
   585660    0.580    0.000    0.580    0.000 {method 'match' of '_sre.SRE_Pattern' objects}
       93    0.549    0.006    5.750    0.062 parser.py:134(goahead)

That's responsible for 102.2 seconds out of the 108.9 it takes. If you want to optimize, do it here. The rest is peanuts.

Do you notice anything? You're wasting half a minute on handshakes. That's almost 30 seconds you could be doing something useful instead. Unless you find a trick to carry all files over one handshake, there's not much you can do about it. It also takes almost 60 seconds simply to read (AKA: download) the data. That's only slightly more than I'd expect with my internet connection, so there's not much you can do about that either.

  • 1
    \$\begingroup\$ Thanks Mast. This introduces a few concepts I'm not yet familiar with, but now I know what direction to look. \$\endgroup\$
    – Lachy Vass
    Commented Jul 15, 2016 at 2:09

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.