python

超轻量级php框架startmvc

python实现爬虫抓取小说功能示例【抓取金庸小说】

更新时间:2020-07-22 10:24 作者:startmvc
本文实例讲述了python实现爬虫抓取小说功能。分享给大家供大家参考,具体如下:#-*-coding:u

本文实例讲述了python实现爬虫抓取小说功能。分享给大家供大家参考,具体如下:


# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
from urllib import request
import re
import os,time
#访问url,返回html页面
def get_html(url):
 req = request.Request(url)
 req.add_header('User-Agent','Mozilla/5.0')
 response = request.urlopen(url)
 html = response.read()
 return html
#从列表页获取小说书名和链接
def get_books(url):#根据列表页,返回此页的{书名:链接}的字典
 html = get_html(url)
 soup = BeautifulSoup(html,'lxml')
 fixed_html = soup.prettify()
 books = soup.find_all('div',attrs={'class':'bbox'})
 book_dict = {}
 for book in books:
 book_name = book.h3.a.string
 book_url = book.h3.a.get('href')
 book_dict[book_name] = book_url
 return book_dict
#根据书名链接,获取具体的章节{名称:链接} 的字典
def get_parts(url):
 html = get_html(url)
 soup = BeautifulSoup(html,'lxml')
 fixed_html = soup.prettify()
 part_urls = soup.find_all('a')
 host = "http://www.xiaoshuotxt.org"
 part_dict = {}
 for p in part_urls:
 p_url = str(p.get('href'))
 if re.search(r'\d{5}.html',p_url) and ("xiaoshuotxt" not in p_url):
 part_dict[p.string] = host + p_url
 return part_dict
#根据章节的url获取具体的章节内容
def get_txt(url):
 html = get_html(url)
 soup = BeautifulSoup(html,'lxml')
 fixed_html = soup.prettify()
 title = soup.h1.string #获取文章标题
 content = soup.find('div',attrs={'class':'zw'})
 txt = BeautifulSoup.get_text(content) #正文内容
 return txt
if __name__ == "__main__":
 root_dir= r'e:\books'
 #url = 'http://www.xiaoshuotxt.org/mingzhu/index_2.html' #第2页的小说
 url = "http://www.xiaoshuotxt.org/writer/58" #金庸的小说
 books = get_books(url)
 for book_name,book_url in books.items():
 os.mkdir(os.path.join(root_dir,book_name))
 part_dict = get_parts(book_url)
 print(book_name,"共:",len(part_dict),"章节")
 for part_name,part_url in part_dict.items():
 print("正在保存:",part_name)
 f1 = open(r'e:\books\%s\%s.txt'%(book_name,part_name),'w',encoding='utf-8')#以utf-8编码创建文件
 part_txt = get_txt(part_url)
 f1.write(str(part_txt))
 f1.close()
 time.sleep(2)

运行效果: