def __init__(self):
self.tiebaName = input("请需要访问的贴吧：")
self.beginPage = int(input("请输入起始页："))
self.endPage = int(input("请输入终止页："))
self.num =1
self.url = 'http://tieba.baidu.com/f?'
self.headers =User_Agt()
def run(self):
'''逻辑处理'''
self.get_data()
# 获取页码列表
page = self.get_url_list()
print(page)
# 遍历每页数据
for num in page:
# 设置页码
self.pamans['pn'] = num
print(self.pn)
# 获取当前页数据
# data = self.get_data()
# 调用发送函数，发送请求相应
resp = self.pares_url()
# 随机产生一个用户代理
self.header = User_Agt()
# 调用保存数据方法，进行数据保存
self.save_data(resp)
print(BaiduZhaopin.count)
# 当把所有页码遍历结束后，将数据保存成csv
data1 = pandas.DataFrame(BaiduZhaopin.list1)
data1.to_csv('最新招聘信息.csv', encoding='gb18030')
def __init__(self):
self.url = None
self.user_agt = User_Agt()
def __init__(self):
self.get_url = 'http://zhaopin.baidu.com/api/quanzhiasync?'
self.headers = User_Agt()
self.city = '西安'
self.name = 'python'
self.pn = 0
# -*- coding:utf-8 -*-
import requests
from User_agent import User_Agt
user_url = 'http://www.renren.com/327550029/profile'
post_url = 'http://www.renren.com/PLogin.do'
post_data = {"email": "*****@*****.**", "password": "******"}
headers = User_Agt()
# 实例化session
session = requests.session()
res = session.post(post_url, data=post_data, headers=headers)
# 请求个人主页
session.get(user_url, headers=headers)
res2 = session.post(user_url, data=post_data, headers=headers)
print(res2.status_code)
def __init__(self, tiba_name):
self.url_temp = 'https://tieba.baidu.com/f?kw=' + tiba_name + '&pn={}'
self.headers = User_Agt()
self.name = tiba_name
def __init__(self):
self.url = 'https://www.qiushibaike.com/imgrank/page/{}/'
self.user_agt = User_Agt()