人生有起有落,有起有伏,无论你现在是在人生的顶峰,还是在人生的低谷,都是人生必经的一个过程。站在山峰的你,回头看看曾经在山谷的你,是多么的发奋图强,自强不息。所有的好事不是不来,而是在等红绿灯的路上。
花瓣图片的加载使用了延迟加载的技术,源代码只能下载20多张图片,修改后基本能下载所有的了,只是速度有点慢,后面再优化下
import urllib, urllib2, re, sys, os,requests
path=r"C:\wqa\beautify"
url = 'http://huaban.com/favorite/beauty'
#http://huaban.com/explore/zhongwenlogo/?ig1un9tq&max=327773629&limit=20&wfl=1
i_headers = {"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.71 Safari/537.36"}
count=0
def urlHandle(url):
req = urllib2.Request(url, headers=i_headers)
html = urllib2.urlopen(req).read()
reg = re.compile(r'"pin_id":(\d+),.+?"file":{"farm":"farm1", "bucket":"hbimg",.+?"key":"(.*?)",.+?"type":"image/(.*?)"', re.S)
groups = re.findall(reg, html)
return groups
def imgHandle(groups):
if groups:
for att in groups:
pin_id = att[0]
att_url = att[1] + '_fw236'
img_type = att[2]
img_url = 'http://img.hb.aicdn.com/' + att_url
r = requests.get(img_url)
with open(path + att_url + '.' + img_type, 'wb') as fd:
for chunk in r.iter_content():
fd.write(chunk)
groups = urlHandle(url)
imgHandle(groups)
while(groups):
count+=1
print count
pin_id = groups[-1][0]
print pin_id
urltemp = url+'/?max=' + str(pin_id) + '&limit=' + str(20) + '&wfl=1'
print(urltemp)
groups = urlHandle(urltemp)
#print groups
imgHandle(groups)
到此这篇关于python制作花瓣网美女图片爬虫就介绍到这了。拼两个春夏秋冬,博高考无怨无悔。更多相关python制作花瓣网美女图片爬虫内容请查看相关栏目,小编编辑不易,再次感谢大家的支持!