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!