爬虫的概念
- 爬虫是模拟浏览器发送请求,获取响应
爬虫的流程
- url--->发送请求,获取响应--->提取数据--->保存
- 发送请求,获取响应--->提取url
爬虫要根据当前url地址对应的响应为准 ,当前url地址的elements的内容和url的响应不一样
页面上的数据在哪里?
- 当前url地址对应的响应中
- 其他的url地址对应的响应中
- 比如ajax请求中
- js生成的
- 部分数据在响应中
- 全部通过js生成
requests中解决编解码的方法
- response.content.decode()
- response.content.decode("gbk")
- response.text
判断请求否是成功
assert response.status_code==200
字符串格式化的另一种方式
"i love python {}".format(1)
使用代理ip
- 准备一堆的ip地址,组成ip池,随机选择一个ip来时用
- 如何随机选择代理ip,让使用次数较少的ip地址有更大的可能性被用到
- {"ip":ip,"times":0}
- [{},{},{},{},{}],对这个ip的列表进行排序,按照使用次数进行排序
- 选择使用次数较少的10个ip,从中随机选择一个
- 检查ip的可用性
- 可以使用requests添加超时参数,判断ip地址的质量
- 在线代理ip质量检测的网站
携带cookie请求
- 携带一堆cookie进行请求,把cookie组成cookie池
使用requests提供的session类来请求登陆之后的网站的思路
- 实例化session
- 先使用session发送请求,登录对网站,把cookie保存在session中
- 再使用session请求登陆之后才能访问的网站,session能够自动的携带登录成功时保存在其中的cookie,进行请求
不发送post请求,使用cookie获取登录后的页面
- cookie过期时间很长的网站
- 在cookie过期之前能够拿到所有的数据,比较麻烦
- 配合其他程序一起使用,其他程序专门获取cookie,当前程序专门请求页面
字典推导式,列表推到是
cookies="anonymid=j3jxk555-nrn0wh; _r01_=1; _ga=GA1.2.1274811859.1497951251; _de=BF09EE3A28DED52E6B65F6A4705D973F1383380866D39FF5; ln_uact=mr_mao_hacker@163.com; depovince=BJ; jebecookies=54f5d0fd-9299-4bb4-801c-eefa4fd3012b|||||; JSESSIONID=abcI6TfWH4N4t_aWJnvdw; ick_login=4be198ce-1f9c-4eab-971d-48abfda70a50; p=0cbee3304bce1ede82a56e901916d0949; first_login_flag=1; ln_hurl=http://hdn.xnimg.cn/photos/hdn421/20171230/1635/main_JQzq_ae7b0000a8791986.jpg; t=79bdd322e760beae79c0b511b8c92a6b9; societyguester=79bdd322e760beae79c0b511b8c92a6b9; id=327550029; xnsid=2ac9a5d8; loginfrom=syshome; ch_id=10016; wp_fold=0"
cookies = {i.split("=")[0]:i.split("=")[1] for i in cookies.split("; ")}
[self.url_temp.format(i * 50) for i in range(1000)]
获取登录后的页面的三种方式
- 实例化session,使用session发送post请求,在使用他获取登陆后的页面
- headers中添加cookie键,值为cookie字符串
- 在请求方法中添加cookies参数,接收字典形式的cookie。字典形式的cookie中的键是cookie的name对应的值,值是cookie的value对应的值

# coding=utf-8
import requests
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36",
}
cookies="anonymid=j3jxk555-nrn0wh; _r01_=1; _ga=GA1.2.1274811859.1497951251; _de=BF09EE3A28DED52E6B65F6A4705D973F1383380866D39FF5; ln_uact=mr_mao_hacker@163.com; depovince=BJ; jebecookies=54f5d0fd-9299-4bb4-801c-eefa4fd3012b|||||; JSESSIONID=abcI6TfWH4N4t_aWJnvdw; ick_login=4be198ce-1f9c-4eab-971d-48abfda70a50; p=0cbee3304bce1ede82a56e901916d0949; first_login_flag=1; ln_hurl=http://hdn.xnimg.cn/photos/hdn421/20171230/1635/main_JQzq_ae7b0000a8791986.jpg; t=79bdd322e760beae79c0b511b8c92a6b9; societyguester=79bdd322e760beae79c0b511b8c92a6b9; id=327550029; xnsid=2ac9a5d8; loginfrom=syshome; ch_id=10016; wp_fold=0"
cookies = {i.split("=")[0]:i.split("=")[1] for i in cookies.split("; ")}
print(cookies)
r = requests.get("http://www.renren.com/327550029/profile",headers=headers,cookies=cookies)
#保存页面
with open("renren3.html","w",encoding="utf-8") as f:
f.write(r.content.decode())

# coding=utf-8
import requests
proxies = {"http":"http://163.177.151.23:80"}
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36"}
r = requests.get("http://www.baidu.com",proxies=proxies,headers=headers)
print(r.status_code)

# coding=utf-8
import requests
class TiebaSpider:
def __init__(self, tieba_name):
self.tieba_name = tieba_name
self.url_temp = "https://tieba.baidu.com/f?kw=" + tieba_name + "&ie=utf-8&pn={}"
self.headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36"}
def get_url_list(self): # 1.构造url列表
# url_list = []
# for i in range(1000):
# url_list.append(self.url_temp.format(i*50))
# return url_list
return [self.url_temp.format(i * 50) for i in range(1000)]
def parse_url(self, url): # 发送请求,获取响应
print(url)
response = requests.get(url, headers=self.headers)
return response.content.decode()
def save_html(self, html_str, page_num): # 保存html字符串
file_path = "{}—第{}页.html".format(self.tieba_name, page_num)
with open(file_path, "w", encoding="utf-8") as f: # "李毅—第4页.html"
f.write(html_str)
def run(self): # 实现主要逻辑
# 1.构造url列表
url_list = self.get_url_list()
# 2.遍历,发送请求,获取响应
for url in url_list:
html_str = self.parse_url(url)
# 3.保存
page_num = url_list.index(url) + 1 # 页码数
self.save_html(html_str, page_num)
if __name__ == '__main__':
tieba_spider = TiebaSpider("lol")
tieba_spider.run()

# coding=utf-8
import requests
import json
import sys
query_string = sys.argv[1]
headers = {"User-Agent":"Mozilla/5.0 (Linux; Android 5.1.1; Nexus 6 Build/LYZ28E) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Mobile Safari/537.36"}
post_data = {
"query":query_string,
"from":"zh",
"to":"en",
}
post_url = "http://fanyi.baidu.com/basetrans"
r = requests.post(post_url,data=post_data,headers=headers)
# print(r.content.decode())
dict_ret = json.loads(r.content.decode())
ret = dict_ret["trans"][0]["dst"]
print("result is :",ret)