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) * regenerated arm-servicemap * regenerated arm-edgegateway * regen arm-streamanalytics * regenerate graph * add dom to tsconfig for graphrbac * 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 Task 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