python爬虫

bubbleJessica2024-06-15 18:14

{}字典[]列表

请求对象的定制

urllib.request.Request(url,headers)

urllib.request.urlopen(请求对象)

因为urlopen方法中不能存储字典 所以headers不能传递进去

注意：因为参数顺序的问题，不能直接写url和headers，中间还有data，所以我们需要关键字传参

python 复制代码 
import urllib.request

url = 'https://www.baidu.com'

# url组成
# https://www.baidu.com/s?wd=周杰伦
# http/https    www.baidu.com   80/443      s       wd = 周杰伦        #
#  协议               主机        端口号      路径       参数            锚点
# http 80
# https 443
# mysql 3306
# redis 6379
# mongodb 27017
# oracle 1521

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
}
request = urllib.request.Request(url=url, headers=headers)
response = urllib.request.urlopen(request)

content = response.read().decode('utf8')
print(content)

编解码

GET请求

urllib.parse.quote('周杰伦')得到对应编码：%E5%91%A8%E6%9D%B0%E4%BC%A6

python 复制代码 
import urllib.request
import urllib.parse

url = 'https://www.baidu.com/s?wd='

name = urllib.parse.quote('周杰伦')
# print(name)
# https://www.baidu.com/s?wd=%E5%91%A8%E6%9D%B0%E4%BC%A6
url = url + name
# print(url)

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
}
request = urllib.request.Request(url=url, headers=headers)
response = urllib.request.urlopen(request)

content = response.read().decode('utf8')
print(content)
python 复制代码 
data = {
    'wd': '周杰伦',
    'sex': '男',
    'location': '中国台湾省'
}

urllib.parse.urlencode(data)得到对应编码：wd=%E5%91%A8%E6%9D%B0%E4%BC%A6&sex=%E7%94%B7&location=%E4%B8%AD%E5%9B%BD%E5%8F%B0%E6%B9%BE%E7%9C%81

python 复制代码 
import urllib.request
import urllib.parse

# https://www.baidu.com/s?wd=周杰伦&sex=男&location=中国台湾省
base_url = 'https://www.baidu.com/s?'
data = {
    'wd': '周杰伦',
    'sex': '男',
    'location': '中国台湾省'
}
new_data = urllib.parse.urlencode(data)
# print(urllib.parse.urlencode(data))
url = base_url + new_data

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
}
request = urllib.request.Request(url=url, headers=headers)
response = urllib.request.urlopen(request)
content = response.read().decode('utf8')
print(content)

POST请求

post请求的参数是不会拼接在url后面的，而是需要放在请求对象定制的参数中，另外post请求的参数必须进行编码

python 复制代码 
import urllib.request
import urllib.parse

url = 'https://fanyi.baidu.com/sug'

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
}

data = {
    'kw': 'spider'
}
# post请求参数必须要进行编码
data = urllib.parse.urlencode(data).encode("utf-8")

request = urllib.request.Request(url=url, data=data, headers=headers)
response = urllib.request.urlopen(request)
content = response.read().decode('utf-8')
print(type(content))
# 字符串--》json对象
import json

obj = json.loads(content)
print(obj)

Ajax请求获取豆瓣电影第一页

python 复制代码 
import urllib.request
import urllib.parse

# 获取豆瓣电影第一页
url = 'https://movie.douban.com/j/chart/top_list?type=5&interval_id=100%3A90&action=&start=0&limit=20'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
}
request = urllib.request.Request(url=url, headers=headers)
response = urllib.request.urlopen(request)
content = response.read().decode('utf-8')
fp = open('douban.json', 'w', encoding='utf-8')
fp.write(content)

Ajax请求获取豆瓣电影前10页

1.请求对象的定制

2.获取响应的数据

3.下载数据

if name='main':

python 复制代码 
import urllib.request
import urllib.parse


# 获取豆瓣电影前10页数据

# https://movie.douban.com/j/chart/top_list?type=5&interval_id=100%3A90&action=&
# start=0&limit=20
# https://movie.douban.com/j/chart/top_list?type=5&interval_id=100%3A90&action=&
# start=20&limit=20
# https://movie.douban.com/j/chart/top_list?type=5&interval_id=100%3A90&action=&
# start=40&limit=20
# 找出规律 start=(page-1)*20
# page    1    2    3     4     5
# start   0    20   40    60    80
def create_request(page):
    base_url = 'https://movie.douban.com/j/chart/top_list?type=5&interval_id=100%3A90&action=&'
    data = {
        'start': (page - 1) * 20,
        'limit': 20
    }
    data = urllib.parse.urlencode(data)
    url = base_url + data
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
    }
    request = urllib.request.Request(url=url, headers=headers)
    return request


def get_response(request):
    response = urllib.request.urlopen(request)
    content = response.read().decode('utf-8')
    return content


def down_load(page, content):
    with open('douban_' + str(page) + '.json', 'w', encoding='utf-8') as wf:
        wf.write(content)


if __name__ == '__main__':
    start_page = int(input('请输入起始的页码：'))
    end_page = int(input('请输入结束的页码：'))

    for page in range(start_page, end_page + 1):
        # 每一页对应的请求对象定制
        request = create_request(page)
        # 获取响应的数据
        content = get_response(request)
        # 下载
        down_load(page, content)

Ajax请求获取肯德基北京餐厅信息查询信息

python 复制代码 
# 第一页
# https://www.kfc.com.cn/kfccda/ashx/GetStoreList.ashx?op=cname
# post
# cname: 北京
# pid:
# pageIndex: 1
# pageSize: 10

# 第二页
# https://www.kfc.com.cn/kfccda/ashx/GetStoreList.ashx?op=cname
# post
# cname: 北京
# pid:
# pageIndex: 2
# pageSize: 10

import urllib.request
import urllib.parse


def create_request(page):
    base_url = 'https://www.kfc.com.cn/kfccda/ashx/GetStoreList.ashx?op=cname'
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
    }

    data = {
        'cname': '北京',
        'pid': '',
        'pageIndex': page,
        'pageSize': 10
    }

    data = urllib.parse.urlencode(data).encode('utf-8')
    request = urllib.request.Request(url=base_url, data=data, headers=headers)
    return request


def get_response(request):
    response = urllib.request.urlopen(request)
    content = response.read().decode('utf-8')
    return content


def down_load(page, content):
    with open('kfc_' + str(page) + '.json', 'w', encoding='utf-8') as wf:
        wf.write(content)


if __name__ == '__main__':
    start_page = int(input('请输入起始页码：'))
    end_page = int(input('请输入结束页码：'))
    for page in range(start_page, end_page + 1):
        request = create_request(page)
        content = get_response(request)
        down_load(page, content)

HTTPError和URLError

HTTPError：路径错误

URLError：域名端口写错

微博的cookie登录

python 复制代码 
import urllib.request
import urllib.parse

url = 'https://weibo.cn/7278281557/info'
headers = {
    # 可以携带cookie进入到任何页面
    'Cookie': 'SCF=AoU7bQRwxo-YoBcPj9viD7uPYruPTlAD9Tze3kFz1Gl2J3r46ArWSU8JX5OZ73fdq_WKlsSvcxBrNDdsK14p5hc.; '
              'SUB=_2A25LYswbDeRhGeFM7FoT-C_JzjuIHXVoHkHTrDV6PUJbktAGLVbakW1NQKQzV5lr5ytRXCBieJfiPTxUBuLCklnl; '
              'SUBP=0033WrSXqPxfM725Ws9jqgMF55529P9D9WFBVN93Q_aw4plWnDQDi8sV5NHD95QNeoMReonpSK-NWs4DqcjMi--NiK.Xi-2Ri--ciKnRi-zNS0zN1hzReK-fS7tt; '
              'SSOLoginState=1718008908; ALF=1720600908; _T_WM=19f4c6b4c9b5f298db45a9719f1fd1ee',
    # 判断当前路径是不是由上一个路径进来的，一般情况下，是做图片防盗链
    'Referer': 'https://weibo.cn/',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
}

request = urllib.request.Request(url=url, headers=headers)
response = urllib.request.urlopen(request)
content = response.read().decode()
with open('weibo.html', 'w', encoding='utf-8') as wf:
    wf.write(content)

Handler处理器

python 复制代码 
# 获取handler对象
handler = urllib.request.HTTPHandler()
# 获取opener对象
opener = urllib.request.build_opener(handler)
# 调用open方法
response = opener.open(request)

上面三句相当于urllib.request.urlopen(request) 但是上面可以做代理

python 复制代码 
import urllib.request
import urllib.parse

url = 'https://www.baidu.com'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
}
request = urllib.request.Request(url=url, headers=headers)

# 获取handler对象
handler = urllib.request.HTTPHandler()
# 获取opener对象
opener = urllib.request.build_opener(handler)
# 调用open方法
response = opener.open(request)

content = response.read().decode('utf-8')
print(content)

代理

python 复制代码 
proxies = {
    'http': '117.42.94.79:17622'
}
# 获取handler对象
handler = urllib.request.ProxyHandler(proxies=proxies)
python 复制代码 
import urllib.request
import urllib.parse

url = 'http://www.baidu.com/s?wd=ip'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
}
request = urllib.request.Request(url=url, headers=headers)

proxies = {
    'http': '117.42.94.79:17622'
}
# 获取handler对象
handler = urllib.request.ProxyHandler(proxies=proxies)
# 获取opener对象
opener = urllib.request.build_opener(handler)
# 调用open方法
response = opener.open(request)

content = response.read().decode('utf-8')
with open('daili.html', 'w', encoding='utf-8') as wf:
    wf.write(content)

代理池

python 复制代码 
import random
proxies_pool = [
    {'http': '117.42.94.79:17622'},
    {'http': '117.42.94.78:17623'}
]
proxies = random.choice(proxies_pool)

解析

XPath.crx安装

浏览器打开按住Ctrl+Shift+x

XPath解析本地文件

html 复制代码 
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8"/>
    <title>Title</title>
</head>
<body>
<ul>
    <li id="l1" class="c1">北京</li>
    <li id="l2">上海</li>
    <li id="c3">广州</li>
    <li id="c4">深圳</li>
</ul>
</body>
</html>
python 复制代码 
from lxml import etree

# xpath解析
# 本地文件  etree.parse()
# 服务器响应的数据  etree.HTML()
tree = etree.parse('Xpath解析本地文件.html')
# print(tree)
# 查找ul下面的li
li_list = tree.xpath('//body/ul/li')
print(li_list)
print(len(li_list))  # 4

# 查找所有有id属性的li标签
li_list = tree.xpath('//ul/li[@id]')
print(li_list)
print(len(li_list))  # 2

# 查找所有有id属性的li标签的内容
li_list = tree.xpath('//ul/li[@id]/text()')
print(li_list)  # ['北京', '上海']
print(len(li_list))  # 2

# 查找id属性等于l1的li标签的内容
li_list = tree.xpath('//ul/li[@id="l1"]/text()')
print(li_list)  # ['北京']
print(len(li_list))  # 1

# 查找id属性等于l1的li标签class的属性值
li_list = tree.xpath('//ul/li[@id="l1"]/@class')
print(li_list)  # ['c1']
print(len(li_list))  # 1

# 查询id中包含l的li标签
li_list = tree.xpath('//ul/li[contains(@id,"l")]/text()')
print(li_list)  # ['北京', '上海']
print(len(li_list))  # 2

# 查询id值以l开头的li标签
li_list = tree.xpath('//ul/li[starts-with(@id,"c")]/text()')
print(li_list)  # ['广州', '深圳']
print(len(li_list))  # 2

# 查找id属性等于l1并且class属性等于c1的li标签的内容
li_list = tree.xpath('//ul/li[@id="l1" and @class="c1"]/text()')
print(li_list)  # ['北京']
print(len(li_list))  # 1

# 查找id属性等于l1或者class属性等于c1的li标签的内容
li_list = tree.xpath('//ul/li[@id="l1"]/text() | //ul/li[@class="c1"]/text()')
print(li_list)  # ['北京']
print(len(li_list))  # 1

获取百度网站

核心代码

python 复制代码 
# 解析网页源码 获取想要的数据
from lxml import etree

# 解析服务器响应的文件
tree = etree.HTML(content)
# 获取想要的数据
result = tree.xpath('//input[@id="su"]/@value')[0]
print(result)
python 复制代码 
# 获取网页的源码
# 解析服务器响应的文件 etree.HTML
# 打印
import urllib.request

url = 'https://www.baidu.com'

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
}
# 请求对象的定制
request = urllib.request.Request(url=url, headers=headers)

# 模拟浏览器访问服务器
response = urllib.request.urlopen(request);
# 获取网页源码
content = response.read().decode('utf8')
# 解析网页源码 获取想要的数据
from lxml import etree

# 解析服务器响应的文件
tree = etree.HTML(content)
# 获取想要的数据
result = tree.xpath('//input[@id="su"]/@value')[0]
print(result)

JsonPath

python 复制代码 
import urllib.request

url = 'https://dianying.taobao.com/cityAction.json?_ksTS=1718253005566_19&jsoncallback=jsonp20&action=cityAction&n_s=new&event_submit_doLocate=true'

headers = {
    'Cookie': 'cna=BWjTHN2sx34CAXBeYTZVYSoT; '
              't=9dc4fe3cd8292c5d6960214d0aabd4b7; '
              'cookie2=122c7f20c925da7e46dc8c127442cdee; '
              'v=0; _tb_token_=e5aebe87341b6; xlly_s=1; '
              'isg=BK-vc_rpFUz4FRFwwK-kv8L5PsO5VAN2gzvOIME8S54lEM8SySSTxq3GkgAuaNvu',
    'Referer': 'https://dianying.taobao.com/',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36'
}
request = urllib.request.Request(url=url, headers=headers)
response = urllib.request.urlopen(request)
content = response.read().decode('utf-8')
content = content.split('(')[1].split(')')[0]
with open('解析淘票票.json', 'w', encoding='utf-8') as wf:
    wf.write(content)

import json
import jsonpath

obj = json.load(open('解析淘票票.json', 'r', encoding='utf-8'))
city_list = jsonpath.jsonpath(obj, '$..name')
print(city_list)

BeautifulSoup

基本使用

html 复制代码 
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Title</title>
</head>
<body>
<div>
    <ul>
        <li id="l1">张三</li>
        <li id="l2">李四</li>
        <li>王五</li>
        <a href="" id="" class="a1">尚硅谷</a>
        <span>嘿嘿嘿</span>
    </ul>
</div>

<a href="" title="a2">百度</a>
<div id="d1">
    <span>
        哈哈哈
    </span>
</div>
<p id="p1" class="p1"></p>
</body>
</html>
python 复制代码 
from bs4 import BeautifulSoup

# 默认打开编码格式为GBK
soup = BeautifulSoup(open('bs4基本使用.html', encoding='utf-8'), 'lxml')
# print(soup)

# 根据标签名查找到第一个符合条件的节点
print(soup.a)
# 根据标签名查找到第一个符合条件的节点的属性
print(soup.a.attrs)
# 函数
# print(soup.find('a', title="a2"))
# print(soup.find('a', class_="a1"))
# print(soup.find_all(['a', 'span']))  # 返回的是一个列表
# print(soup.find_all('li', limit=2))
# print(soup.select('a'))
print(soup.select('.a1'))
print(soup.select('#l1'))

# 查询到li标签中有id的标签
print(soup.select('li[id]'))
print(soup.select('li[id="l2"]'))

# 层级选择器
# 后代选择器: 空格
# print(soup.select('div li'))
# 子代选择器: >
print(soup.select('div > ul > li'))
print(soup.select('a,li'))

# 节点信息
# 获取节点内容
obj = soup.select('#d1')[0]
# 如果对象中只有内容，那么string和get_text()都可以使用
# 如果对象中除了内容还有标签，那么string获取不到数据，而get_text()可以获取数据
print(obj.string)  # None
print(obj.get_text())  # 哈哈哈

# 获取属性
# name标签名字
obj = soup.select('#p1')[0]
print(obj.name)
# 将属性值作为一个字典返回
print(obj.attrs)

# 获取节点的属性
print(obj.attrs.get('class'))
print(obj.get('class'))
print(obj['class'])

获取星巴克数据

python 复制代码 
import urllib.request

url = 'https://www.starbucks.com.cn/menu/'

response = urllib.request.urlopen(url)
content = response.read().decode('utf-8')
print(content)

from bs4 import BeautifulSoup

soup = BeautifulSoup(content, 'lxml')
# < ul class ='grid padded-3 product' >
#   < li >
#       < a id = 'menu-product-related-affogato' href = '/menu/beverages/coffee-plus-ice-cream/' class ='thumbnail' >
#       < div class ='preview circle' style='background-image: url("/images/products/affogato.jpg")' > < / div >
#       < strong > 阿馥奇朵™ < / strong >
#       < / a >
#   < /li >
# </ul>

# //ul[@class="grid padded-3 product"]//strong/text()
name_list = soup.select('ul[class="grid padded-3 product"] strong')

for name in name_list:
    print(name.get_text())

requests

Requests: 让 HTTP 服务人类 --- Requests 2.18.1 文档

python 复制代码 
import requests

url = 'http://www.baidu.com'

response = requests.get(url=url)
# 一个类型和六个属性
# <class 'requests.models.Response'>
# print(type(response))
# 设置响应编码的格式
response.encoding = 'utf-8'
# 以字符串形式返回网页源码
# print(response.text)

# 返回url地址
print(response.url)

# 返回的是二进制的数据
print(response.content)

# 返回响应的状态码
print(response.status_code)

# 返回响应头
print(response.headers)

get请求

python 复制代码 
import requests

url = 'http://www.baidu.com/s'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
}
data = {
    'wd': '北京'
}

response = requests.get(url=url, params=data, headers=headers)
content = response.text
print(content)
  • 参数需要使用params传递
  • 参数无需urlencode编码
  • 不需要请求对象的定制
  • 请求资源路径中的？可以加可以不加

post请求

python 复制代码 
import requests

url = 'http://fanyi.baidu.com/sug?'

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36'
}

data = {
    'kw': 'eye'
}

response = requests.post(url=url, data=data, headers=headers)
content = response.text
import json

obj = json.loads(content, encoding='utf-8')
print(obj)

验证码登录案例

python 复制代码 
import requests

url = 'https://so.gushiwen.cn/user/login.aspx?from=http%3a%2f%2fso.gushiwen.cn%2fuser%2fcollect.aspx'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36'
}
response = requests.post(url=url, headers=headers)
content = response.text

from bs4 import BeautifulSoup

soup = BeautifulSoup(content, 'lxml')

# 获取__VIEWSTATE
viewstate = soup.select('#__VIEWSTATE')[0].attrs.get('value')

# 获取__VIEWSTATEGENERATOR
viewstategenerator = soup.select('#__VIEWSTATEGENERATOR')[0].attrs.get('value')
# print(viewstate)
# print(viewstategenerator)

# 获取验证码图片
code = soup.select('#imgCode')[0].attrs.get('src')
code_url = 'https://so.gushiwen.cn' + code
session = requests.session()
response_code = session.get(code_url)
# 图片下载使用二进制
content_code = response_code.content
# wb二进制写入文件
with open('code.jpg', 'wb') as fp:
    fp.write(content_code)

code_name = input('请输入你的验证码：')
# 点击登录
data_post = {
    '__VIEWSTATE': viewstate,
    '__VIEWSTATEGENERATOR': viewstategenerator,
    'from': 'https://so.gushiwen.cn/user/collect.aspx',
    'email': '',  # 输入邮箱
    'pwd': '',  # 输入密码
    'code': code_name,
    'denglu': '登录'
}
response_post = session.post(url=url, headers=headers, data=data_post)
content_post = response_post.text
with open('gushiwen.html', 'w', encoding='utf-8') as wf:
    wf.write(content_post)
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