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!
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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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