I need to crawl several thousand subsites and extract information.
Now, unfortunately the information in question is not a regular HTML text, but a image with text rendered on it dynamically.
How can I extract these images to further process them? I'm using Selenium Webdriver on Python.
There are very few things that you cannot do with mechanize
plus BeautifulSoup
. The further processing of the images can be done with pytesser , I however have not experience there. It would be interesting to have an advise from a knowledgeable person in Python OCR stuff.
import mechanize, BeautifulSoup
browser = mechanize.Browser()
html = browser.open("http://www.dreamstime.com/free-photos")
soup = BeautifulSoup.BeautifulSoup(html)
for ii, image in enumerate(soup.findAll('img')):
_src = image['src']
if str(_src).startswith('http://') and str(_src).endswith('.jpg'):
print 'Storing this image:', _src
data = browser.open(_src).read()
fl = 'image' + str(ii) + '.jpg'
with open(fl, 'wb') as f:
f.write(data)
f.closed
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