Python爬虫（6） --深层爬取

深层爬取

在前面几篇的内容中，我们都是爬取网页表面的信息，这次我们通过表层内容，深度爬取内部数据。

接着按照之前的步骤，我们先访问表层页面：

1. 指定url
2. 发送请求
3. 获取你想要的数据
4. 数据解析

我们试着将以下豆瓣读书页面的书籍进一步爬取：

https://book.douban.com/tag/%E4%BA%92%E8%81%94%E7%BD%91

在浏览器点击这本书，我们要通过这个页面进去这本书的详细页面爬取它的详细信息，它的详细页面链接在href标签中。

爬取

指定url

url ="https://book.douban.com/tag/%E4%BA%92%E8%81%94%E7%BD%91"

发送请求

import fake_useragent
import requests
head ={"User-Agent": fake_useragent.UserAgent().random
}
resp = requests.get(url, headers=head)

获取想要的数据

from lxml import etree
res_text = resp.text

数据解析

tree = etree.HTML(res_text)
a_list = tree.xpath("//ul[@class='subject-list']/li/div[2]/h2/a")

定位到位置之后，我们要取到具体的href标签中的链接，再次进行访问请求：

进入深层

爬取这个详细页面的内容：

for a in a_list:# 1、url
    book_url ="".join(a.xpath("./@href"))# 2、发送请求
    book_res = requests.get(book_url, headers=head)# 3、获取想要的信息
    book_text = book_res.text
    # 4、数据解析
    book_tree = etree.HTML(book_text)

    book_name ="".join(book_tree.xpath("//span[@property='v:itemreviewed']/text()"))

    author ="".join(book_tree.xpath("//div[@class='subject clearfix']/div[2]/span[1]/a/text()"))
    publish ="".join(book_tree.xpath("//div[@class='subject clearfix']/div[2]/a[1]/text()"))
    y ="".join(book_tree.xpath("//span[@class='pl' and text()='出版年:']/following-sibling::text()[1]"))
    page ="".join(book_tree.xpath("//span[@class='pl' and text()='页数:']/following-sibling::text()[1]"))
    price ="".join(book_tree.xpath("//span[@class='pl' and text()='定价:']/following-sibling::text()[1]"))
    bind ="".join(book_tree.xpath("//span[@class='pl' and text()='装帧:']/following-sibling::text()[1]"))
    isbn ="".join(book_tree.xpath("//span[@class='pl' and text()='ISBN:']/following-sibling::text()[1]"))

完整代码显示

# 通过表层内容 深度爬取内部数据import time
import fake_useragent
import requests
from lxml import etree

head ={"User-Agent": fake_useragent.UserAgent().random
}if __name__ =='__main__':# 1、url
    url ="https://book.douban.com/tag/%E4%BA%92%E8%81%94%E7%BD%91"# 2、发送请求
    resp = requests.get(url, headers=head)
    time.sleep(5)#请求时停留5秒，不然请求太快可能会被网页拒绝# 3、获取想要的数据
    res_text = resp.text
    # print(res_text)# 4、数据解析
    tree = etree.HTML(res_text)

    a_list = tree.xpath("//ul[@class='subject-list']/li/div[2]/h2/a")for a in a_list:
        time.sleep(3)# 1、url
        book_url ="".join(a.xpath("./@href"))# 2、发送请求
        book_res = requests.get(book_url, headers=head)# 3、获取想要的信息
        book_text = book_res.text
        # 4、数据解析
        book_tree = etree.HTML(book_text)

        book_name ="".join(book_tree.xpath("//span[@property='v:itemreviewed']/text()"))

        author ="".join(book_tree.xpath("//div[@class='subject clearfix']/div[2]/span[1]/a/text()"))
        publish ="".join(book_tree.xpath("//div[@class='subject clearfix']/div[2]/a[1]/text()"))
        y ="".join(book_tree.xpath("//span[@class='pl' and text()='出版年:']/following-sibling::text()[1]"))
        page ="".join(book_tree.xpath("//span[@class='pl' and text()='页数:']/following-sibling::text()[1]"))
        price ="".join(book_tree.xpath("//span[@class='pl' and text()='定价:']/following-sibling::text()[1]"))
        bind ="".join(book_tree.xpath("//span[@class='pl' and text()='装帧:']/following-sibling::text()[1]"))
        isbn ="".join(book_tree.xpath("//span[@class='pl' and text()='ISBN:']/following-sibling::text()[1]"))print(book_name, author, publish, y, page, price, bind, isbn)# print(a_list)pass

总结

其实与爬取视频的操作相差不大，先定位页面位置，再找到深层页面的链接，获取想要的信息。