豆瓣读书TOP500页面如下,爬取每本书的书名、作者、出版社、出版日期、价格、星级和评论数。代码简单,本着先抓大、后抓小、寻找循环点的原则编写代码即可,直接附上不做解释。
from lxml import etree
import requests
import csv
headers = {
'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36'
}
fp = open('douban.csv','w+',newline='',encoding='utf-8-sig')
writer = csv.writer(fp)
writer.writerow(('书名','链接','作者','出版社','出版日期','价格','星级','评论数'))
urls = ['https://book.douban.com/top250?start={}'.format(str(i)) for i in range(0,250,25)]
for url in urls:
html = requests.get(url)
selector = etree.HTML(html.text)
infos = selector.xpath('//tr[@class="item"]')
for info in infos:
name = info.xpath('td/div/a/@title')[0]
url = info.xpath('td/div/a/@href')[0]
book_infos = info.xpath('td/p/text()')[0]
author = book_infos.split('/')[0]
publisher = book_infos.split('/')[-3]
date = book_infos.split('/')[-2]
price = book_infos.split('/')[-1]
rate = info.xpath('td/div/span[2]/text()')[0]
comments = info.xpath('td/div/span[3]/text()')
comment = comments[0] if len(comments)!=0 else "空"
writer.writerow((name,url,author,publisher,date,price,rate,comment))
fp.close()
结果保存到CSV中,由于使用了utf-8-sig编码,不会乱码,部分结果如下: