import os
import requests
from bs4 import BeautifulSoup
# 登陆, 模仿用户浏览器
r1 = requests.get(
# 要爬取的网页
url='https://dig.chouti.com/',
# 浏览器的信息
headers={
'user-agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36'
}
)
# 编码
# r1.encoding = 'gbk'
# 获取第一条cookie
r1_cookie_dict = r1.cookies.get_dict()
# 登陆信息,需要的时候再加上
# r2 = requests.post(
# url='https://dig.chouti.com/login',
# # 加入浏览器信息
# headers={
# 'user-agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36'
# },
# # 填写账号密码
# data={
# 'phone':'861352039****',
# 'password':'******',
# 'oneMonth':1
# },
# # 抽屉网还要用第一次那个cookies值
# cookies=r1_cookie_dict
# )
# 去响应体中j解析我们想要的数据
soup = BeautifulSoup(r1.text, 'html.parser')
# 按照规则找名字: div标签且id=content-list 找到匹配的第一个
container = soup.find(name='div', attrs={'id':'content-list'})
# 去container找到所有的class=item的div标签
div_list = container.find_all(name='div',attrs={'class':'item'})
# 循环所有的标签
for tag in div_list:
# 找到class='part2'的所有div标签
articles = tag.find(name='div', attrs={'class': 'part2'})
# 如果为空就跳过
if not articles:
continue
# 找到class='summary'的所有span标签
summay = tag.find(name='span', attrs={'class': 'summary'})
if not summay:
continue
# 找到class='show-content color-chag'的所有a标签
articles_addr = tag.find(name='a', attrs='show-content color-chag')
if not articles_addr:
continue
print('标题:',articles['share-title'])
print('简介:',summay.text)
print('文章地址:', articles_addr['href'])
print('图片地址:', articles['share-pic'])
print('------------------------------------------------')
# 下载图片
# 找到图片地址https://img.jandan.net/news/2018/07/D5BA3729EF7F435B8BD5BC7DC8DCDA8C_W550H698.jpg
img_addr = articles['share-pic']
# 切割出文件名D5BA3729EF7F435B8BD5BC7DC8DCDA8C_W550H698.jpg
file_name = img_addr.rsplit('/', maxsplit=1)[1]
# 创建一个文件夹来存要下载的图片
root = "F:/简单项目在这里/pacongfirst/img/"
# join连接 拼接一个完整文件名
path_filename = os.path.join('root', file_name)
# 或 path_filename = root + file_name
try:
# 如果文件夹不存在就创建
if not os.path.exists('root'):
os.mkdir('root')
# 如果文件不存在就下载
if not os.path.exists(path_filename):
# 拿到图片
r3 = requests.get(
url=img_addr
)
with open(path_filename, 'wb') as f:
f.write(r3.content)
else:
print('文件已存在')
except:
print('爬取失败')