爬虫 简单使用

import requests
# 模块作用：伪造浏览器请求
response = requests.get(访问的url)
from bs4 import BeautifulSoup
# 将html的内容解析成对象 
bs4 = BeautifulSoup(response.text, ‘html.parser‘)
# 查找的方法
bs4.find(name=‘标签名‘, attrs={‘属性名：‘属性值’})
# find_all查找全部
# 获取内容
# content 原始内容 用于获取bytes数据类型(图片、视频)
# text 获取

import requests
from bs4 import BeautifulSoup
import os
#
path = os.path.join(os.getcwd(), ‘img‘)
# 1.伪造浏览器请求
response = requests.get("......")
response.encoding = ‘gbk‘
# 2.获取网页的html文件
# print(response.text)
# 3.使用bs4将html文件解析成对象
bs4 = BeautifulSoup(response.text, ‘html.parser‘)
# print(bs4)
div = bs4.find(name=‘div‘, attrs={‘id‘: ‘auto-channel-lazyload-article‘})
# print(div)
li_list = div.find_all(name=‘li‘)
for li in li_list:
    print(‘=‘*120)
    # print(li)
    h3 = li.find(name=‘h3‘)
    if not h3:
        continue
    print(h3.text)
    a = li.find(name=‘a‘)
    href = a.get(‘href‘)
    print(‘https:{}‘.format(href))
    img = li.find(name=‘img‘)
    src = img.get(‘src‘)
    src = ‘https:{}‘.format(src)
    print(src)
    file_name = src.rsplit(‘/‘, maxsplit=1)[1]
    # print(file_name)
    file_path = os.path.join(path, file_name)
    # print(file_path)
    # src是地址，重新伪造get请求
    ret = requests.get(src)
    # content是获取原始的数据
    # print(ret.content)
    # 保存图片
    with open(file_path, ‘wb‘) as f:
        f.write(ret.content)