python 获取网站上所有图片的元数据信息

!/usr/bin/python

coding=utf-8

import optparse
from PIL import Image
from PIL.ExifTags import TAGS
import urllib2
from bs4 import BeautifulSoup as BS
from os.path import basename
from urlparse import urlsplit

通过BeautifulSoup查找URL中所有的img标签

def findImages(url):
print '[+] Finding images on ' + url
urlContent = urllib2.urlopen(url).read()
soup = BS(urlContent, 'lxml')
imgTags = soup.findAll('img')
return imgTags

通过img标签的src属性的值来获取图片URL下载图片

def downloadImage(imgTag):
try:
print '[+] Dowloading image...'
imgSrc = imgTag['src']
imgContent = urllib2.urlopen(imgSrc).read()
imgFileName = basename(urlsplit(imgSrc)[2])
imgFile = open(imgFileName, 'wb')
imgFile.write(imgContent)
imgFile.close()
return imgFileName
except:
return ' '

获取图像文件的元数据，并寻找是否存在Exif标签“GPSInfo”

def testForExif(imgFileName):
try:
exifData = {}
imgFile = Image.open(imgFileName)
info = imgFile._getexif()
if info:
for (tag, value) in info.items():
decoded = TAGS.get(tag, tag)
exifData[decoded] = value
exifGPS = exifData['GPSInfo']
if exifGPS:
print '[*] ' + imgFileName + ' contains GPS MetaData'
except:
pass

def main():
parser = optparse.OptionParser('[*]Usage: python Exif.py -u ')
parser.add_option('-u', dest='url', type='string', help='specify url address')
(options, args) = parser.parse_args()
url = options.url
if url == None:
print parser.usage
exit(0)
else:
imgTags = findImages(url)
for imgTag in imgTags:
imgFileName = downloadImage(imgTag)
testForExif(imgFileName)

if name == 'main':
main()