scrapy 抓取动态数据---以淘宝为例

Python爬虫实战:2026最新版淘宝商品详情页数据抓取与价格监控 在2026年的今天,电商数据已经成为商业决策、市场分析和价格策略制定的核心资产。淘宝作为中国最大的电商平台之一,其商品详情页包含了海量有价值的信息:商品标题、价格、销量、评价数、店铺信息、SKU属性等。对于从事电商运营、竞品分析、价格监控的从业者来说,能够高效、稳定地获取这些数据至关重要。然而,淘宝平台的反爬虫策略在2026年已经演进到了相当成熟的阶段。 阅读详情

1.首先,确保安装了ptantomjs,如没有安装,安装教程链接为:https://blog.youkuaiyun.com/weixin_42657103/article/details/81543113

安装完成后,创建爬虫项目,然后进入middleware.py 中,进行如下操作:

from scrapy import signals

from selenium import webdriver
from scrapy.http.response.html import HtmlResponse
from scrapy.http.response import Response
class SeleniumSpiderMiddleware(object):
   def __init__(self):
       self.driver = webdriver.PhantomJS()
   def process_request(self,request,spider):
# 当引擎从调度器中取出request进行请求发送给下载器之前,会先执行当前爬虫的中间件,
   #在中间件里面使用selenium请求这个request,拿到动态网站的数据,然后将请求返回给spider爬虫对象
       if spider.name == 'taobao':
           # 使用爬虫文件的url地址
           spider.driver.get(request.url)
           for x in range(1,12,2):
               i =float(x)/11
               # scrollTop从上往下的滑动距离
               js = 'document.body.scrollTop = document.body.scrollHeight * %f' % i
       
DSH-Work:一个让DeepSeek下载即用的Harness客户端 使用大模型工具时,环境配置往往比模型本身更让人头疼。DeepSeek Harness作为一类封装层,将模型调用、上下文管理、参数控制等复杂细节统一收拢,对外提供简洁操作入口。开源的DSH-Work正是这样一款Harness客户端,它通过自带运行时与保守默认配置,实现了下载即用、免配环境的目标,让使用者无需掌握Python、CUDA等专业知识即可快速连接DeepSeek云端或本地服务。对于非技术背景的用户,它降低了AI工具的使用门槛;对于开发者,它把时间从环境排错中解放出来,更专注于提示词调优与工作流设计。无 阅读详情

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