关于xpath爬虫遇到的问题

Question

请问各位，用xpath提取评语（比如图片中标黄的：微信读书，推荐回想剧场有声响）怎么提取呀，本来（759548人评价）也不会的后来百度解决了，这第二个问题实在不会，麻烦各位优秀的程序员（媛）解答谢谢，谢谢

结果

"""
豆瓣图书top250数据抓取-lxml+xpath
"""

import requests
from lxml import etree
import time
import random
from  fake_useragent import UserAgent

class DoubanBookSpider:
    def __init__(self):
        self.url='https://www.douban.com/doulist/139873963/?start={}'


    def get_html(self,url):
        """请求函数-获取html"""
        headers={"User-Agent":UserAgent().random}
        html=requests.get(url=url,headers=headers).content.decode('utf-8','ignore')
        # 直接调用解析函数
        self.parse_html(html)

    def parse_html(self, html):
        """解析函数-解析提取数据"""
        parse=etree.HTML(html)
        table_list=parse.xpath('//div[@class="article"]')
        for table in table_list:
            item={}
            # item["name"]=table.xpath('.//div[@class="title"]/a/text()')
            # # print(item["name"])
            # item["comment"]=table.xpath('.//div[@class="abstract"]/text()')
            # # print(item["comment"])
            # item["score"]=table.xpath('.//span[@class="rating_nums"]/text()')
            # # print(item["score"])
            # item["number"]=table.xpath('.//div[@class="rating"]/span/text()')
            # # print(item["number"])
            # item["instructions"] = table.xpath('.//blockquote[@class="comment"]/text()')
            # # print(item["instructions"])
            # print(item)

             # 书的名称
            name_list=table.xpath('.//div[@class="title"]/a/text()')
            item["name"]=name_list[0].strip() if name_list else None
            # 以上相当于x=3 if 5>2 else 8

            # 书的描述
            comment_list=table.xpath('.//div[@class="abstract"]/text()')
            item["comment"] = comment_list[0].strip() if name_list else None

            # 书的评分
            comment_list=table.xpath('.//span[@class="rating_nums"]/text()')
            item["score"] = comment_list[0].strip() if name_list else None

            # 评论人数
            number_list=table.xpath('.//div[@class="rating"]/span[count(@*)=0]/text()')
            item["number"]= number_list[2].strip() if name_list else None

            # 评语
            instructions_list = table.xpath('.//blockquote[@class="comment"]/span/text()')
            item["instructions"]= instructions_list[0].strip() if name_list else None
            print(item)


    def run(self):
        for page in range(1,11):
            start=(page-1)*25
            page_url=self.url.format(start)
            self.get_html(url=page_url)
            # 控制数据抓取的频率
            time.sleep(random.uniform(0,2))

if __name__ == '__main__':
    spider=DoubanBookSpider()
    spider.run()

Answer 1

titles=html.xpath('//*[@class="title"]/a//text()')
abstracts=html.xpath('//*[@class="abstract"]')
ratings=html.xpath('//*[@class="rating"]')
comments=html.xpath('//*[@class="comment"]')
for n,i in enumerate(titles):
    print(f'{n+1}.{i.strip()}')
    abstarct=abstracts[n].xpath('.//text()')
    for j in abstarct:
        print(j.strip())
    rating=ratings[n].xpath('.//text()')
    for k in rating:
        print(k.strip())
    comment=comments[n].xpath('.//text()')
    for m in comment:
        print(m.strip())