一、安装库

  使用conda安装:

conda install requests

  如果出现解析环境问题,需要激活conda环境:

    https://www.cnblogs.com/jdemarryme/p/8745138.html

  之后就可以使用conda list查看已安装的库了(激活环境:https://blog.csdn.net/helloworld_again/article/details/91127603

二、入门

  参考教程:https://www.w3cschool.cn/python3/python3-o3x12pw7.html

  先试试发送一个简单的GET请求:(pychram中如果request不显示,请更换项目环境!)

import requests

url = "https://api.github.com/events"
res = requests.get(url)
print(res.text)

  输出如下:

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graphrbac","distinct":false,"url":"https://api.github.com/repos/AzureSDKAutomation/azure-sdk-for-js/commits/f269557d28e7242523ced77ce5e8a973ded3e75b"},{"sha":"4f2b764f361bbfd7cefb67b0e155231827f51792","author":{"email":"amzavery@microsoft.com","name":"Amar Zavery"},"message":" delete old files from the graph package (#4474)\n\n* regenerated arm-servicemap\r\n\r\n* regenerated arm-edgegateway\r\n\r\n* regen arm-streamanalytics\r\n\r\n* regenerate graph\r\n\r\n* add dom to tsconfig for graphrbac\r\n\r\n* delete old files from the graph package.","distinct":false,"url":"https://api.github.com/repos/AzureSDKAutomation/azure-sdk-for-js/commits/4f2b764f361bbfd7cefb67b0e155231827f51792"},{"sha":"1aa0ae8244696f5685acfb5864516ce8827b6ba6","author":{"email":"sdkautomation@microsoft.com","name":"SDK Automation"},"message":"Generated from e886dafd814e28ba42862f3b04bb63332b8f1def\n\nTask 4957070: ARM swagger update to include term in get reservation 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  发现存在乱码,使用encoding设置一下编码即可:

# -*- coding:UTF-8 -*-
import requests if __name__ == '__main__':
target = 'http://www.biqukan.com/1_1094/5403177.html'
r = requests.get(url=target)
r.encoding = "GBK"
print(r.text)

  爬取HTML后,使用soup进行解析:https://beautifulsoup.readthedocs.io/zh_CN/latest/

  可以支持常规的HTML的遍历方法,以及CSS选择器:  

使用conda或者pip安装:(可能conda已经安装了)

conda install beautifulsoup4

  结合soup后的代码如下:

# -*- coding:UTF-8 -*-
import requests
from bs4 import BeautifulSoup if __name__ == '__main__':
target = 'http://www.biqukan.com/1_1094/5403177.html'
r = requests.get(url=target)
r.encoding = "GBK"
html = r.text
soup = BeautifulSoup(html, 'html.parser')
print(soup.title)
print(soup.find_all('div', class_='content'))

  其实就是利用find_all查找元素了:find_all(‘div’, id = ‘content’, class_ = ‘showtxt’)

   之后再使用正则替换等,去除标签名等内容就能取出正文了

  取出正文后,根据章节列表,分析出章节信息

总结一下:小说每章的链接放在了class属性为listmain的<div>标签下的<a>标签中。链接具体位置放在html->body->div->dl->dd->a的href属性中。先匹配class属性为listmain的<div>标签,再匹配<a>标签

  当然,还有简单强大的xpath库:https://zhuanlan.zhihu.com/p/65177112

 xpath在谷歌有个xpath helper插件,这样在检查元素上直接copy就能copy to xpath了!

   一个简单的示例如下:(待优化)

# -*- coding:UTF-8 -*-
import requests
from lxml.html import etree if __name__ == '__main__':
target = 'http://www.weather.com.cn/weather/101210101.shtml'
res = requests.get(url=target)
res.encoding = "UTF-8"
html = res.text
content = etree.HTML(html)
date = content.xpath('//ul[@class="t clearfix"]/li/h1/text()')
wea = content.xpath('//ul[@class="t clearfix"]/li/p[1]/text()')
tem_low = content.xpath('//ul[@class="t clearfix"]/li/p[2]/i/text()')
tem_high = content.xpath('//ul[@class="t clearfix"]/li/p[2]/span/text()')
if len(tem_high) < 7:
tem_high.insert(1, tem_high[0])
win1 = content.xpath('//ul[@class="t clearfix"]/li/p[3]//span[1]/@title')
win2 = content.xpath('//ul[@class="t clearfix"]/li/p[3]//span[2]/@title')
if len(win2) < 7:
win2.insert(1, win2[0])
win3 = content.xpath('//ul[@class="t clearfix"]/li/p[3]/i/text()')

三、爬取图片

  

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