这篇文章主要介绍scrapy怎么追踪python爬虫的商品评价，文中介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们一定要看完！
创建一个测试的spider
scrapy genspider jdcomment01spider club.jd.com scrapy list --查看一下
1.一些缺的数据信息探索
--人名
comment0 = response.xpath('//div[@id="comment-0"]')
print comment0.xpath('.//div[@class="item"]//div[@class="user"]//div[@class="u-name"]/text()').extract_first().replace("\r\n", '')--获取所有评价
一个商品的总的评价信息可以从这个URL获取
/tupian/20230522/ProductPageService.aspx>{"SkuId":1601991,"ProductId":1601991,"Score1Count":115,"Score2Count":24,"Score3Count":77,"Score4Count":229,"Score5Count":3250,"ShowCount":311,"CommentCount":3695,"AverageScore":5,"GoodCount":3479,"GoodRate":0.942,"GoodRateShow":94,"GoodRateStyle":141,"GeneralCount":101,"GeneralRate":0.027,"GeneralRateShow":3,"GeneralRateStyle":4,"PoorCount":115,"PoorRate":0.031,"PoorRateShow":3,"PoorRateStyle":5}
具体有多少评论页 = CommentCount/30
其他的如Score1Count一星评论的有多少，AverageScore平均得分都很有用，下次再处理。
2.获取所有评论数
在第一部分的基础上修改读取多少也即可，修改jdcomment01spider.py，代码如下
# -*- coding: utf-8 -*-
import scrapy
from scrapy.spiders import Spider
from scrapy.selector import Selector
from tutorial.items import DmozItem
import urllib2
import math
import json
itemnum = '1601991'
commentpeypage = 30
class Jdcomment01spiderSpider(scrapy.Spider):
name = "jdcomment01spider"
allowed_domains = ["club.jd.com"]
itemsummaryurl='/tupian/20230522/ProductPageService.aspx
itemsummaryresponse = urllib2.urlopen(url)
itemsummaryjson_dict = json.loads(itemsummaryresponse.read())
commentrange = int(math.ceil(itemsummaryjson_dict.get('CommentCount'))/commentpeypage)
start_urls = []
for i in range(commentrange):
s_url = "http://club.jd.com/review/" + itemnum + "-" + str(i) + "-0.html/",
start_urls.append(s_url)
def parse(self, response):
sel = Selector(response)
sites = sel.xpath('//ul/li')
items = []
for i in range(0, commentpeypage):
divs = response.xpath('//div[@id="' + str(i) + '"]')
uid = divs.xpath('.//div[@class="item"]//div[@class="user"]//div[@class="u-name"]/text()').extract_first().replace("\r\n", '')
for zz in divs.xpath('.//dl'):
item = DmozItem()
item['prodid'] = itemnum
item['userid'] = 'userid'
item['type'] = zz.xpath('.//dt/text()').extract_first().replace("\r\n", '')
item['desc'] = zz.xpath('.//dd/text()').extract_first().replace("\r\n", '')
items.append(item)
return item检查结果
scrapy crawl jdcomment01spider -o items.json -t csv
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