Python实现的百度站长自动URL提交小工具，python从入门到精通pdf

URL提交是百度提供的一个站长工具用于给站长提供手工收录某些URL的接口但是该接口有验证码识别部分网络软文但是该接口有验证码识别部分比较难弄。所以编写了如下程序进行验证码自动识别：

主要思路

主要思路

获取多个验证码提交到 进行多次识别什么是网络营销提交到 进行多次识别然后计算每个验证码图片识别出来的 字母或数字 进行统计得出统计率最高的 即为验证码。

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import requests
import time
import json
import re

if __name__ == “__main__”:
i = 1
s = requests.session()
s.headers.update({‘Referer’:’’,’User-Agent’:’Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.154 Safari/537.36′})
r = s.get(‘’)
s2 = requests.session()
r = s.post(‘’,data={‘async’:’false’,’n’:time.time()})
url = json.loads(r.content)[‘url’]
temp = []
while 1:
try:
r = s.get(url)
img_data = r.content
r = s2.get(‘’)
try:
content = ‘ ‘.join(r.content.split())
sid = re.findall(r'”sid” : “(.+)”‘,content)[0]
hash_1 = re.findall(r'”hash” : “(.+)”‘,content)[0]
timestamp = re.findall(r'”timestamp” : “(.+)”‘,content)[0]
except:
print ‘error on get orking info!’
continue
files = {‘Filedata’:(‘icode.jpeg’, img_data)}
data = {‘Filename’:’icode.jpeg’,’sid’:sid,’hash’:hash_1,’timestamp’:timestamp}
r = s2.post(‘’,files = files,data= data)
r = s2.post(‘’,data={‘upfile’:r.content,’type’:’captcha’,’charset’:’7′})
icode = re.findall(r’OcrResult(.+)/OcrResult’,r.content)[0]
if len(icode) != 4 :
continue
temp.append(icode)
i = i + 1
if i == 3 :
break
except Exception,e:
print e
pass

a = {‘0′:{},’1′:{},’2′:{},’3’:{}}
for aa in temp:
i = 0
while i =3 :
try:
a[str(i)][aa[i]] = a[str(i)][aa[i]] + 1
except:
a[str(i)][aa[i]] = 1
i = i + 1
icode = [”,”,”,”]
for index in a:
temp_times = 0
for index_1 in a[index]:
if a[index][index_1] = temp_times :
temp_times = a[index][index_1]
icode[int(index)] = index_1

icode = ”.join(icode)

img_name = ‘temp\\’+icode+’.png’
file_object = open(img_name, ‘w’)
file_object.write(img_data)
file_object.close()

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