BeautifulSoup的一些用法

Posted 2022-08-03 Icy Hunter

文章目录

• 前言
• prettify()
• find_all()
• tag.get、tag.string

前言

xpath确实好用，但是对于网页结构不太一样，但是我们需要的内容的标签是一样的适合，可能BeautifulSoup会更简单些

prettify()

能够使得html非常美观好看：

import requests
from bs4 import BeautifulSoup
headers = 
    'authority': 'www.amazon.com',
    'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
    'accept-language': 'zh-CN,zh;q=0.9',
    # Requests sorts cookies= alphabetically
    # 'cookie': 'session-id=146-9554352-7241337; i18n-prefs=USD; ubid-main=131-8725565-8106466; av-timezone=Asia/Shanghai; session-id-time=2082787201l; lc-main=en_US; skin=noskin; csm-hit=tb:SS9VMRPJNKAAQ188PJ81+s-R3FAJTKYBMR48FHFKANG|1658566295845&t:1658566295845&adb:adblk_no; session-token="HkMB3OYPMO+kqXfcANFKCAk5ZslBpMiVjjm6qx3W0ZymVpaswxVYesgvN9Agpzyi9Riv4lvHwkdZCdE+T4i+9rq9Pj9DZ65sN1btJqxODob2xX3bOPwQoShuzGatDpuYCUwEvqvUQfq8GwGizfic1qtSuVDCKgT2u6CHD5ALOL97sRm2PXBtvSEfN+4xtNdu/2+pvUQDBSS8exN0DLudJw=="',
    'device-memory': '8',
    'downlink': '1.4',
    'dpr': '1.25',
    'ect': '3g',
    'referer': 'https://www.amazon.com/s?k=case&crid=1Q6U78YWZGRPO&sprefix=ca%2Caps%2C761&ref=nb_sb_noss_2',
    'rtt': '300',
    'sec-ch-device-memory': '8',
    'sec-ch-dpr': '1.25',
    'sec-ch-ua': '".Not/A)Brand";v="99", "Google Chrome";v="103", "Chromium";v="103"',
    'sec-ch-ua-mobile': '?0',
    'sec-ch-ua-platform': '"Windows"',
    'sec-ch-viewport-width': '1229',
    'sec-fetch-dest': 'document',
    'sec-fetch-mode': 'navigate',
    'sec-fetch-site': 'same-origin',
    'sec-fetch-user': '?1',
    'upgrade-insecure-requests': '1',
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36',
    'viewport-width': '1229',

response = requests.get('https://www.baidu.com/', headers=headers)
soup = BeautifulSoup(response.text, features='lxml')
print(type(soup.prettify()))
print(soup.prettify())

输出结果：

可以看到prettify后数据类型变成了str，这个美观是用\\n、” “（双空格）、\\t来完成的

s = soup.prettify()
s = s.replace("\\t", "")
s = s.replace("\\n", "")
s = s.replace("  ", "")
print(s)

加上这段，就会变回去了

find_all()

能够找到需要的特定标签内的内容

import requests
from bs4 import BeautifulSoup
headers = 
    'authority': 'www.amazon.com',
    'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
    'accept-language': 'zh-CN,zh;q=0.9',
    # Requests sorts cookies= alphabetically
    # 'cookie': 'session-id=146-9554352-7241337; i18n-prefs=USD; ubid-main=131-8725565-8106466; av-timezone=Asia/Shanghai; session-id-time=2082787201l; lc-main=en_US; skin=noskin; csm-hit=tb:SS9VMRPJNKAAQ188PJ81+s-R3FAJTKYBMR48FHFKANG|1658566295845&t:1658566295845&adb:adblk_no; session-token="HkMB3OYPMO+kqXfcANFKCAk5ZslBpMiVjjm6qx3W0ZymVpaswxVYesgvN9Agpzyi9Riv4lvHwkdZCdE+T4i+9rq9Pj9DZ65sN1btJqxODob2xX3bOPwQoShuzGatDpuYCUwEvqvUQfq8GwGizfic1qtSuVDCKgT2u6CHD5ALOL97sRm2PXBtvSEfN+4xtNdu/2+pvUQDBSS8exN0DLudJw=="',
    'device-memory': '8',
    'downlink': '1.4',
    'dpr': '1.25',
    'ect': '3g',
    'referer': 'https://www.amazon.com/s?k=case&crid=1Q6U78YWZGRPO&sprefix=ca%2Caps%2C761&ref=nb_sb_noss_2',
    'rtt': '300',
    'sec-ch-device-memory': '8',
    'sec-ch-dpr': '1.25',
    'sec-ch-ua': '".Not/A)Brand";v="99", "Google Chrome";v="103", "Chromium";v="103"',
    'sec-ch-ua-mobile': '?0',
    'sec-ch-ua-platform': '"Windows"',
    'sec-ch-viewport-width': '1229',
    'sec-fetch-dest': 'document',
    'sec-fetch-mode': 'navigate',
    'sec-fetch-site': 'same-origin',
    'sec-fetch-user': '?1',
    'upgrade-insecure-requests': '1',
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36',
    'viewport-width': '1229',

response = requests.get('https://www.baidu.com/', headers=headers)
soup = BeautifulSoup(response.text, features='lxml')
div = soup.find_all("div", class_="s-isindex-wrap")
for d in div:
    print(d) 
# print(all_a)
# print(soup.prettify())

上述代码就是寻找class中包含s-isindex-wrap的div，不过只要包含就会取出。如果我想找出只包含的呢？目前还不知道咋设置参数，望指教
输出截取：

符合预期

tag.get、tag.string

获取对应属性或者文本

import requests
from bs4 import BeautifulSoup
headers = 
    'authority': 'www.amazon.com',
    'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
    'accept-language': 'zh-CN,zh;q=0.9',
    # Requests sorts cookies= alphabetically
    # 'cookie': 'session-id=146-9554352-7241337; i18n-prefs=USD; ubid-main=131-8725565-8106466; av-timezone=Asia/Shanghai; session-id-time=2082787201l; lc-main=en_US; skin=noskin; csm-hit=tb:SS9VMRPJNKAAQ188PJ81+s-R3FAJTKYBMR48FHFKANG|1658566295845&t:1658566295845&adb:adblk_no; session-token="HkMB3OYPMO+kqXfcANFKCAk5ZslBpMiVjjm6qx3W0ZymVpaswxVYesgvN9Agpzyi9Riv4lvHwkdZCdE+T4i+9rq9Pj9DZ65sN1btJqxODob2xX3bOPwQoShuzGatDpuYCUwEvqvUQfq8GwGizfic1qtSuVDCKgT2u6CHD5ALOL97sRm2PXBtvSEfN+4xtNdu/2+pvUQDBSS8exN0DLudJw=="',
    'device-memory': '8',
    'downlink': '1.4',
    'dpr': '1.25',
    'ect': '3g',
    'referer': 'https://www.amazon.com/s?k=case&crid=1Q6U78YWZGRPO&sprefix=ca%2Caps%2C761&ref=nb_sb_noss_2',
    'rtt': '300',
    'sec-ch-device-memory': '8',
    'sec-ch-dpr': '1.25',
    'sec-ch-ua': '".Not/A)Brand";v="99", "Google Chrome";v="103", "Chromium";v="103"',
    'sec-ch-ua-mobile': '?0',
    'sec-ch-ua-platform': '"Windows"',
    'sec-ch-viewport-width': '1229',
    'sec-fetch-dest': 'document',
    'sec-fetch-mode': 'navigate',
    'sec-fetch-site': 'same-origin',
    'sec-fetch-user': '?1',
    'upgrade-insecure-requests': '1',
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36',
    'viewport-width': '1229',

response = requests.get('https://www.baidu.com/', headers=headers)
soup = BeautifulSoup(response.text, features='lxml')
div = soup.find_all("div", class_="s-isindex-wrap")
for d in div:
    d = d.prettify() # 美化后为str
    d = BeautifulSoup(d, features='lxml') # 再次解析可以find_all
    dd = d.find_all("div", class_="s-top-left-new") # 找出有s-top-left-new类的div
    for ddd in dd: # 遍历div
        a_all = ddd.find_all("a") # 找出a标签
        for a in a_all: # 遍历a标签
            href = a.get("href") # 找出href
            string = a.string
            try:
                string = string.replace("  ", "")
                string = string.replace("\\t", "")
                string = string.replace("\\n", "")
            except:
                print("string为空")
            print(href)
            print(string)