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Introducing 60 lines of python code to write a simple Biquge crawler

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Release: 2021-01-13 09:51:07
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Introducing 60 lines of python code to write a simple Biquge crawler

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文章目录

  • 系列文章目录
  • 前言
  • 一、网页解析
  • 二、代码填写
    • 1.获取Html及写入方法
    • 2.其余代码
  • 总结

前言

利用python写一个简单的笔趣阁爬虫,根据输入的小说网址爬取整个小说并保存到txt文件。爬虫用到了BeautifulSoup库的select方法
结果如图所示:
Introducing 60 lines of python code to write a simple Biquge crawler
本文只用于学习爬虫


一、网页解析

这里以斗罗大陆小说为例 网址:
http://www.biquge001.com/Book/2/2486/
Introducing 60 lines of python code to write a simple Biquge crawler
可以发现每章的网页地址和章节名都放在了 中的a标签中,所以利用BeautfulSoup中的select方法可以得到网址和章节名

Tag = BeautifulSoup(getHtmlText(url), "html.parser") #这里的getHtmlText是自己写的获取html的方法urls = Tag.select("p #list dl dd a")
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然后遍历列表

for url in urls:
    href = "http://www.biquge001.com/" + url['href']  # 字符串的拼接 拼接成正确的网址
    pageName = url.text  # 每章的章名
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然后每章小说的内容都存放在

Introducing 60 lines of python code to write a simple Biquge crawler
  substance = Tag.select("p #content")  # 文章的内容
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最后同理在首页获取小说的名称

Introducing 60 lines of python code to write a simple Biquge crawler

bookName = Tag.select("p #info h1")
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二、代码填写

1.获取Html及写入方法

def getHtmlText(url):
    r = requests.get(url, headers=headers)
    r.encoding = r.apparent_encoding  # 编码转换
    r.raise_for_status()
    return r.textdef writeIntoTxt(filename, content):
    with open(filename, "w", encoding="utf-8") as f:
        f.write(content)
        f.close()
        print(filename + "已完成")
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2.其余代码

代码如下(示例):

url = "http://www.biquge001.com/Book/2/2486/"substanceStr = ""bookName1 = ""html = getHtmlText(url)# 判断是否存在这个文件Tag = BeautifulSoup(getHtmlText(url), "html.parser")urls = Tag.select("p #list dl dd a")bookName = Tag.select("p #info h1")for i in bookName:
    bookName1 = i.textif not os.path.exists(bookName1):
    os.mkdir(bookName1)
    print(bookName1 + "创建完成")else:
    print("文件已创建")for url in urls:
    href = "http://www.biquge001.com/" + url['href']  # 字符串的拼接 拼接成正确的网址
    pageName = url.text  # 每章的章名
    path = bookName1 + "\\"  # 路径
    fileName = path + url.text + ".txt"  # 文件名 = 路径 + 章节名 + ".txt"
    Tag = BeautifulSoup(getHtmlText(href), "html.parser")  # 解析每张的网页
    substance = Tag.select("p #content")  # 文章的内容
    for i in substance:
        substanceStr = i.text
    writeIntoTxt(fileName, substanceStr)
    time.sleep(1)
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总结

简单利用了BeautfulSoup的select方法对笔趣阁的网页进行了爬取           

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