python爬虫——xpath 爬取一本小说，初级爬虫入门。

import requests
from lxml import etree
import time

'''
思路：
1，确定想要爬取的小说及入口url
2，爬章节链接并通过字符串拼接得到所有章节详情页的
3，爬取书名
4，爬取每章的标题5，爬取每章具体内容的文本
6，将每章小说以章节累加并保存为一个单独的txt文件
'''
# 设置请求头
headers = {'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.116 Safari/537.36'}

url = 'http://www.biquge.info/84_84283/'


def get_html(url):
    # 获取网页数据
    html = requests.get(url, headers=headers)
    html.encoding = 'utf-8'
    html_code = html.text
    # 解析网页
    soup = etree.HTML(html_code)
    # 返回解析后的页面内容
    return soup


# 获取各章节目录链接
def get_list(url):
    soup = get_html(url)
    # 查找所有章节的链接
    list_box = soup.xpath('//*[@id="list"]/dl/dd/a/@href')
    # 新建列表用来储存list的url
    book_lists = []
    for i in list_box:
        # 放进列表里
        book_lists.append(url + i)
    return book_lists


# 获取书的名称
def get_book_title(url):
    soup = get_html(url)
    book_title = soup.xpath('//*[@id="info"]/h1/text()')
    book_title = str(book_title)
    return book_title


# 获取文章页 标题
def get_title(url):
    soup = get_html(url)
    title = soup.xpath('//*[@id="wrapper"]/div[4]/div/div[2]/h1/text()')
    return title


# 获取文章页 正文
def get_novel_content(url):
    soup = get_html(url)
    # 获得需要的正文内容
    content = soup.xpath('//*[@id="content"]/text()')
    return content


# 保存到本地
def save_novel(url):
    book_lists = get_list(url)
    # title = get_title(url)
    book_title = get_book_title(url)
    num = 1
    with open(book_title+'.txt', 'a', encoding='utf-8') as f:
        for list_url in book_lists:
            chapter_title = get_title(list_url)
            # 这个地方写的有问题，标题的标签没有清理干净
            for t in chapter_title:
                f.write(t)

            chapter_content = get_novel_content(list_url)
            for c in chapter_content:
                f.write(c+"\n")

            # time.sleep(2)

            print('***第{}章下载完成***'.format(num))
            num += 1

        f.close()


if __name__ == '__main__':
    save_novel(url)

 

参考： 一个妹子在B站的视频+微信链接https://mp.weixin.qq.com/s?__biz=MzIxOTcyMDM4OQ==&mid=2247483927&idx=1&sn=d4c9fcb6becc3e1d26a8d8385d8c2b99&chksm=97d7bdbda0a034ab3faf0f30ed50a1e35a0a9edcceb9b2ae9a0a6c7e4efd72a64cde07df439f&token=1524452913&lang=zh_CN#rd

比较优雅的代码，看的很舒服，思路很清晰：

https://blog.csdn.net/sinat_34937826/article/details/105562463?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-10.nonecase&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-10.nonecase