代理池搭建完成爬取新闻和视频
代理池搭建完成爬取新闻和视频
requests高级用法
-
ssl认证
# https 和http有什么区别
-https=http+ssl/tsl 证书
# 没有被认证过的机构，签发的证书，用的时候，浏览器会提示不安全
# 1 ssl认证
# 1.1 不认证证书了
# import requests
# respone = requests.get('https://www.12306.cn', verify=False) # 不验证证书,报警告,返回200
# print(respone.status_code)
#
# # 1.2 手动携带证书访问
# import requests
# respone=requests.get('https://www.12306.cn',cert=('/path/server.crt','/path/key'))
# print(respone.status_code)
-
使用代理
# 频率限制，封账号，通过ip或用户id限制，做爬虫，就要避免这些
-封ip：代理
-封账号：注册很多小号
# 代理是什么？
-正向代理：代理客户端
-反向代理：代理服务端，nginx是反向代理服务器
# 收费的，免费，基本都收费
# 发送http请求，使用代理发送
## 2 使用代理ip发送请求
import requests
proxies = {
'http': '192.168.10.102:9003',
}
respone=requests.get('https://www.baidu.com',proxies=proxies)
print(respone.text)
-
超时设置
# 3 超时设置
# respone=requests.get('https://www.baidu23.com',timeout=3)
# print(respone)
-
异常处理
# 4 异常处理
# import requests
# from requests.exceptions import * #可以查看requests.exceptions获取异常类型
# try:
# r=requests.get('http://www.baidu.com',timeout=0.00001)
# except ReadTimeout:
# print('===:')
# except ConnectionError: #网络不通
# print('-----')
# except Timeout:
# print('aaaaa')
#
# except RequestException:
# print('Error')
-
上传文件
## 5 上传文件
# import requests
# files={'file':open('a.txt','rb')}
# respone=requests.post('http://httpbin.org/post',files=files)
# print(respone.text)
代理池搭建
# github开源的，代理池的代码，本地跑起来
-爬虫技术：爬取免费的代理网站，获取免费代理，验证过后，存到本地
-使用flask搭建一个web后端，访问某个接口就可以随机返回一个可用的代理地址
-https://github.com/jhao104/proxy_pool
# 搭建步骤：
1 git clone https://github.com/jhao104/proxy_pool.git
2 创建虚拟环境，安装依赖：pip install -r requirements.txt
3 修改配置文件settings.py ---》redis服务启动
# 配置API服务
HOST = "0.0.0.0" # IP
PORT = 5000 # 监听端口
# 配置数据库
DB_CONN = 'redis://127.0.0.1:8888/0'
# 配置 ProxyFetcher
PROXY_FETCHER = [
"freeProxy01",
"freeProxy02",
]
4 启动爬虫，启动web服务
# 启动调度程序
python proxyPool.py schedule
# 启动webApi服务
python proxyPool.py server
5 随机获取ip
127.0.0.1:5000/get
-
代理配置
import requests
# http://127.0.0.1:5010/get/
# 获取一个随机ip
res = requests.get('http://127.0.0.1:5010/get/').json()
if res['https']:
http = 'https'
else:
http = 'http'
proxie = {
http: res['proxy']
}
print(proxie)
res = requests.get('https://www.cnblogs.com/liuqingzheng/p/16005896.html', proxies=proxie)
print(res.status_code)
-
django后端获取客户端
# 写一个返回用户ip地址的django程序
def ip_test(request):
# 获取客户端ip
ip=request.META.get('REMOTE_ADDR')
return HttpResponse('您的ip是：%s'%ip)
#部署在云服务器
#本地使用requests+代理访问，查看是否返回代理的ip地址
import requests
res = requests.get('http://127.0.0.1:5010/get/').json()
if res['https']:
http = 'https'
else:
http = 'http'
proxie = {
http: http+'://'+res['proxy']
}
print(proxie)
# 服务端部署在本地，是访问不到的，内网穿透，或者部署在服务器上
# res = requests.get('http://192.168.1.143:8000/ip/', proxies=proxie)
# res = requests.get('https://46b3k95600.zicp.fun/ip/', proxies=proxie) # 不生效
res = requests.get('http://101.133.225.166/ip/', proxies=proxie)
print(res.text)
# 如果代理不可用，就不用代理了
爬取某视频网站视频
import requests
import re
res = requests.get('https://www.pearvideo.com/category_loading.jsp?reqType=5&categoryId=1&start=1')
# 使用正则，解析出该页面中所有的视频地址
video_list = re.findall('<a href="(.*?)" class="vervideo-lilink actplay">', res.text)
# print(video_list)
for video in video_list:
# video_url = 'https://www.pearvideo.com/' + video
# print(video_url)
# res = requests.get(video_url)
# print(res.text)
# break
# 向https://www.pearvideo.com/videoStatus.jsp?contId=1646509&mrd=0.6761335369801458发送请求获取视频地址
video_id = video.split('_')[-1]
header = {
'Referer': 'https://www.pearvideo.com/%s' % video
}
res = requests.get('https://www.pearvideo.com/videoStatus.jsp?contId=%s&mrd=0.6761335369801458' % video_id,
headers=header).json()
real_mp4_url = res['videoInfo']['videos']['srcUrl']
real_mp4_url = real_mp4_url.replace(real_mp4_url.rsplit('/', 1)[-1].split('-')[0], 'cont-%s' % video_id)
print(real_mp4_url)
res = requests.get(real_mp4_url)
with open('./video/%s.mp4' % video_id, 'wb') as f:
for line in res.iter_content():
f.write(line)
爬取新闻
import requests
# 解析库；bs4 pip3 install beautifulsoup4
from bs4 import BeautifulSoup
res = requests.get('https://www.autohome.com.cn/news/1/#liststart')
# print(res.text) # 从返回的html中查找，bs是解析html，xml格式的
soup = BeautifulSoup(res.text, 'html.parser')
# 查找：类名等于article的ul标签
ul_list = soup.find_all(name='ul', class_='article')
print(len(ul_list)) # 4 个ul取出来了
for ul in ul_list:
# 找到ul下所有的li标签
li_list = ul.find_all(name='li')
for li in li_list:
h3 = li.find(name='h3')
if h3: # 获取h3标签的文本内容
title = h3.text
desc = li.find(name='p').text
url = 'https:' + li.find(name='a').attrs.get('href')
img = li.find(name='img').attrs.get('src')
if not img.startswith('http'):
img='https:'+img
print('''
文章标题：%s
文章摘要：%s
文章地址：%s
文章图片：%s
''' % (title, desc, url, img))
#把数据保存到mysql：创建库，创建表，pymysql insert conn.commit()
BautifulSoup4介绍
# Beautiful Soup 是一个可以从HTML或XML文件中提取数据的Python库
# pip3 install BeautifulSoup4
# 解析库解释
BeautifulSoup('要解析的内容：xml格式字符串', "html.parser") #内置解析库html.parser
BeautifulSoup('要解析的内容：xml格式字符串', "lxml") # 速度快 必须要装lxml pip3 install lxml
bs4遍历文档树
from bs4 import BeautifulSoup
html_doc = """
<html><head><title>The Dormouse's story</title></head>
<body>
<p class="title" id='id_p' name='lqz' xx='yy'>lqz is handsome <b>The Dormouse's story</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were
<a href="http://example.com/elsie" class="sister" id="link1">Elsie</a>,
<a href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and
<a href="http://example.com/tillie" class="sister" id="link3">Tillie</a>;
and they lived at the bottom of a well.</p>
<p class="story">...</p>
"""
soup = BeautifulSoup(html_doc, 'lxml')
# 1 美化html:了解
# print(soup.prettify())
# 2 遍历文档树
'''
#遍历文档树：即直接通过标签名字选择，特点是选择速度快，但如果存在多个相同的标签则只返回第一个
#1、用法
#2、获取标签的名称
#3、获取标签的属性
#4、获取标签的内容
#5、嵌套选择
#6、子节点、子孙节点
#7、父节点、祖先节点
#8、兄弟节点
'''
# 1 基本用法，直接 .标签名字
# res=soup.title
# print(res)
# res=soup.a
# print(res)
# 可以嵌套使用
# res=soup.head.title
# print(res)
# 2 获取标签的名称
# 拿到的所有标签都是一个对象，Tag对象 bs4.element.Tag
# res=soup.head.title
# res=soup.body
# print(res.name)
# 3 获取标签的属性
# res=soup.p
# print(res.attrs) # 属性字典
# 4 获取标签的内容
# res = soup.p
# print(res.text) # 把该标签子子孙孙内容拿出来拼到一起 字符串
# print(res.string) # None 必须该标签没有子标签，才能拿出文本内容
# print(list(res.strings) )# generator 生成器，把子子孙孙的文本内容放到生成器中
# 5 嵌套选择
# res=soup.html.body.a
# print(res.text)
# 6、子节点、子孙节点
# print(soup.p.contents) #p下所有子节点
# print(soup.p.children) #得到一个迭代器,包含p下所有子节点
# 7、父节点、祖先节点
# print(soup.a.parent) #获取a标签的父节点,直接父节点
# print(list(soup.a.parents)) #找到a标签所有的祖先节点，父亲的父亲，父亲的父亲的父亲...
# 8、兄弟节点
# print(soup.a.next_sibling) # 下一个兄弟
# print(soup.a.previous_sibling) # 上一个兄弟
print(list(soup.a.next_siblings)) #下面的兄弟们=>生成器对象
print('-----')
print(list(soup.a.previous_siblings)) #上面的兄弟们=>生成器对象
爬取某图片网站
import requests
import re
from bs4 import BeautifulSoup
# while True:
# headers = {
# 'cookie': 'Hm_lvt_d2a75ad7351d6f3df75c55dce20d1a2e=1669290780; Hm_lpvt_d2a75ad7351d6f3df75c55dce20d1a2e=1669291384',
# 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36',
# 'referer': 'https://www.yeitu.com/',
# }
import requests
# res = requests.get('https://www.meitu131.com/hot/%E6%80%A7%E6%84%9F%E7%BE%8E%E5%A5%B3-2.html')
# print(res.text)
res = requests.get('http://127.0.0.1:5010/get/').json()
if res['https']:
http = 'https'
else:
http = 'http'
proxie = {
http : res['proxy']
}
print(proxie)
headers = {
# 'Referer':' http://www.netbian.com/shouji/meinv/index.html',
}
# addr =
for num in range(1,13):
addr = f'https://www.qqtn.com/wm/meinvtp_{num}.html'
print(addr)
res = requests.get(addr,proxies=proxie,headers=headers)
soup = BeautifulSoup(res.text,'html.parser')
ul_list = soup.find_all(name='ul')
for ul in ul_list:
li_list = ul.find_all(name='li')
for li in li_list:
# print(li)
url = li.find(name='a').attrs.get('href')
img = li.find(name='img')
if img:
# print(img)
title = img.get('alt')
title = title.encode("iso-8859-1").decode('gbk').encode('utf8').decode('utf8')
title = title.split(' ')[1]
print(title)
src = img.get('src')
print(src)
# img = li.find(name='img').attrs.get('src')
# print(img)
# if __name__ == '__main__':
