python爬虫获取淘宝天猫商品详细参数

import re from collections import OrderedDict from bs4 import BeautifulSoup from pyquery import PyQuery as pq  #获取整个网页的源代码 from config import *  #可引用congif的所有变量  import pymysql import urllib import json import bs4 import requests from selenium import webdriver from selenium.webdriver.support.ui import WebDriverWait from pyquery import PyQuery as pq  #获取整个网页的源代码 import pandas as pd  # 测试 淘宝+天猫，可完整输出及保存  browser = webdriver.Firefox() wait = WebDriverWait(browser,10)  ####### 天猫上半部分详情 ############# def get_tianmao_header(url):   browser.get(url)   # wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR,'#mainsrp-itemlist .items .item'))) #加载所有宝贝   html=browser.page_source   doc = pq(html)   # print(doc)   info = OrderedDict() # 存放该商品所具有的全部信息   items = doc('#page')    # info['店铺名'] = items.find('.slogo').find('.slogo-shopname').text()   # info['ID'] = items.find('#LineZing').attr['itemid']   info['宝贝'] = items.find('.tb-detail-hd').find('h1').text()   info['促销价'] = items.find('#J_PromoPrice').find('.tm-promo-price').find('.tm-price').text()   info['原价'] = items.find('#J_StrPriceModBox').find('.tm-price').text()   # '月销量' :items.find('.tm-ind-panel').find('.tm-ind-item tm-ind-sellCount').find('.tm-indcon').find('.tm-count').text(),   info['月销量'] = items.find('.tm-ind-panel').find('.tm-indcon').find('.tm-count').text().split(' ',2)[0]   info['累计评价'] = items.find('#J_ItemRates').find('.tm-indcon').find('.tm-count').text()   # print(info)   return info  ######## 淘宝上半部分详情 ############### def get_taobao_header(url):   browser.get(url)   # wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR,'#mainsrp-itemlist .items .item'))) #加载所有宝贝   html=browser.page_source   doc = pq(html)   # print(doc)   info = OrderedDict() # 存放该商品所具有的全部信息   items = doc('#page')    # info['店铺名'] = items.find('.tb-shop-seller').find('.tb-seller-name').text()   # info['ID'] = items.find('#J_Pine').attr['data-itemid']   info['宝贝'] = items.find('#J_Title').find('h3').text()   info['原价'] = items.find('#J_StrPrice').find('.tb-rmb-num').text()   info['促销价'] = items.find('#J_PromoPriceNum').text()   # '月销量' :items.find('.tm-ind-panel').find('.tm-ind-item tm-ind-sellCount').find('.tm-indcon').find('.tm-count').text(),   info['月销量'] = items.find('#J_SellCounter').text()   info['累计评价'] = items.find('#J_RateCounter').text()   # print(info)   return info  ####################### 详情 ############################ # 抓取所有商品详情 def get_Details(attrs,info):   # res = requests.get(url)   # soup = BeautifulSoup(res.text, "html.parser")   #   # attrs = soup.select('.attributes-list li')    # attrs= [<li title=" 薄">厚薄: 薄</li>, <li title=" 其他100%">材质成分: 其他100%</li>,<li ...</li>]   attrs_name = []   attrs_value = []   '''''   [/s] 匹配空格，[/s]*,后面有 *，则可以为空   * : 匹配前面的子表达式任意次   '''    for attr in attrs:     attrs_name.append(re.search(r'(.*?):[/s]*(.*)', attr.text).group(1))     attrs_value.append(re.search(r'(.*?):[/s]*(.*)', attr.text).group(2))    # print('attrs_name=',attrs_name)  # attrs_name= ['厚薄', '材质成分', ...]   # print('attrs_value=',attrs_value)  # attrs_value= ['薄', '其他100%', ...]    allattrs = OrderedDict() # 存放该产品详情页面所具有的属性   for k in range(0, len(attrs_name)):     allattrs[attrs_name[k]] = attrs_value[k]   # print('allattrs=',allattrs)  # allattrs= OrderedDict([('厚薄', '薄'), ('材质成分', '其他100%'),...])    # info = OrderedDict() # 存放该商品所具有的全部信息   # info = get_headdetail2(url)    # 下面三条语句获取描述、服务、物流的评分信息    # 下面的语句用来判断该商品具有哪些属性，如果具有该属性，将属性值插入有序字典，否则，该属性值为空   # 适用场景   if '材质成分' in attrs_name:     info['材质成分'] = allattrs['材质成分']   elif '面料' in attrs_name:     info['材质成分'] = allattrs['面料']   else:     info['材质成分'] = 'NA'    # 适用对象   if '流行元素' in attrs_name:     info['流行元素'] = allattrs['流行元素']   else:     info['流行元素'] = 'NA'    #季节   if '年份季节' in attrs_name:     info['年份季节'] = allattrs['年份季节']   else:     info['年份季节'] = 'NA'    # 款式   if '袖长' in attrs_name:     info['袖长'] = allattrs['袖长']   else:     info['袖长'] = 'NA'   # 尺码   if '销售渠道类型' in attrs_name:     info['销售渠道类型'] = allattrs['销售渠道类型']   else:     info['销售渠道类型'] = 'NA'   # 帽顶款式   if '货号' in attrs_name:     info['货号'] = allattrs['货号']   else:     info['货号'] = 'NA'   # 帽檐款式   if '服装版型' in attrs_name:     info['服装版型'] = allattrs['服装版型']   else:     info['服装版型'] = 'NA'   # 檐形   if '衣长' in attrs_name:     info['衣长'] = allattrs['衣长']   else:     info['衣长'] = 'NA'   # 主要材质   if '领型' in attrs_name:     info['领型'] = allattrs['领型']   else:     info['领型'] = 'NA'   # 人群   if '袖型' in attrs_name:     info['袖型'] = allattrs['袖型']   else:     info['袖型'] = 'NA'   # 品牌   if '品牌' in attrs_name:     info['品牌'] = allattrs['品牌']   else:     info['品牌'] = 'NA'   # 风格   if '图案' in attrs_name:     info['图案'] = allattrs['图案']   elif '中老年女装图案' in attrs_name:     info['图案'] = allattrs['中老年女装图案']   else:     info['图案'] = 'NA'    # 款式细节   if '服装款式细节' in attrs_name:     info['服装款式细节'] = allattrs['服装款式细节']   else:     info['服装款式细节'] = 'NA'    # 适用年龄   if '适用年龄' in attrs_name:     info['适用年龄'] = allattrs['适用年龄']   else:     info['适用年龄'] = 'NA'    # 风格   if '风格' in attrs_name:     info['风格'] = allattrs['风格']   elif '中老年风格' in attrs_name:     info['风格'] = allattrs['中老年风格']   else:     info['风格'] = 'NA'    #通勤   if '通勤' in attrs_name:     info['通勤'] = allattrs['通勤']   else:     info['通勤'] = 'NA'    if '裙长' in attrs_name:     info['裙长'] = allattrs['裙长']   else:     info['裙长'] = 'NA'    if '裙型' in attrs_name:     info['裙型'] = allattrs['裙型']   else:     info['裙型'] = 'NA'    if '腰型' in attrs_name:     info['腰型'] = allattrs['腰型']   else:     info['腰型'] = 'NA'    # 颜色分类   if '主要颜色' in attrs_name:     info['主要颜色'] = allattrs['主要颜色']   else:     info['主要颜色'] = 'NA'   if '颜色分类' in attrs_name:     info['主要颜色'] = allattrs['颜色分类']   else:     info['主要颜色'] = 'NA'    #尺码   if '尺码' in attrs_name:     info['尺码'] = allattrs['尺码']   else:     info['尺码'] = 'NA'    if '组合形式' in attrs_name:     info['组合形式'] = allattrs['组合形式']   else:     info['组合形式'] = 'NA'    if '裤长' in attrs_name:     info['裤长'] = allattrs['裤长']   else:     info['裤长'] = 'NA'    return info   import csv  def main():   # 提取 列   with open('clothes_detai.csv', 'w', newline='', encoding='utf-8') as csvfile:     # fieldnames = ['店铺ID','店铺名','链接','宝贝','原价','促销价','月销量','累计评价','材质成分','流行元素','袖长','年份季节','销售渠道类型','货号','服装版型','衣长','领型','袖型',     #        '裙型','裙长','腰型','裤长','组合形式','品牌','图案','服装款式细节', '适用年龄','风格','通勤','主要颜色','尺码']     fieldnames=[ 'Link','Brand','Title','Price','Sale price','Sales','Evaluations',           'Component', 'Fashion elements','Sleeve','Seasons','Sales channels',           'Number','Clothes_Style','Long','Collar type','Sleeve type',           'Skirt type','Skirt length','Waist','Combining form','Outseam',           'Design','Fashion pattern detail','Applicable age',           'Style','Commuter','color','Size']     # 'Shop','Data_id','Shop_id','Shop','Link','Data_id',     writer = csv.DictWriter(csvfile, fieldnames = fieldnames)     writer.writeheader()      # urls = ['//detail.tmall.com/item.htm?spm=a230r.1.14.1.ebb2eb2eGyUw1&id=549177691667&ns=1&abbucket=4',         # '//item.taobao.com/item.htm?id=548443640333&ns=1&abbucket=0#detail']      f = pd.read_csv('women_clothes_sales2.csv')     urls = f['link'][0:100]     # sh = f['shop_id'][0:3]     # s = f['shop'][0:3]     # for url in urls:     #   print(url)     # writer.writerow({'店铺ID':f['shop_id'],'店铺名':f['shop']})     keys, values = [], []     # for url in urls:     for i in urls:       url = 'http:' + i       #  endswith 判断字符串是否以指定的字符串结尾       if url.endswith('detail'):         info = get_taobao_header(url)          res = requests.get(url)         soup = BeautifulSoup(res.text, "html.parser")         attrs = soup.select('.attributes-list li')  # 淘宝 class       else:         info = get_tianmao_header(url)          res = requests.get(url)         soup = BeautifulSoup(res.text, "html.parser")         attrs = soup.select('#J_AttrUL li') # 天猫 id         # print('attrs=',attrs)        d = get_Details(attrs,info)       print(d)       # for j in f[shop_id]:       #   d['店铺ID'] = j       # for s in f['shop']:       #   d['店铺名'] = s       #'Shop':d['店铺名'],'Data_id':d['ID'],       writer.writerow({'Link':url,'Brand':d['品牌'],'Title':d['宝贝'], 'Price':d['原价'], 'Sale price':d['促销价'], 'Sales':d['月销量'], 'Evaluations':d['累计评价'],                'Component':d['材质成分'], 'Fashion elements':d['流行元素'], 'Sleeve':d['袖长'], 'Seasons':d['年份季节'], 'Sales channels':d['销售渠道类型'],                'Number':d['货号'],'Clothes_Style':d['服装版型'],'Long':d['衣长'],'Collar type':d['领型'], 'Sleeve type':d['袖型'],                'Skirt type':d['裙型'], 'Skirt length':d['裙长'], 'Waist':d['腰型'], 'Combining form':d['组合形式'], 'Outseam':d['裤长'],                'Design':d['图案'], 'Fashion pattern detail':d['服装款式细节'], 'Applicable age':d['适用年龄'],                'Style':d['风格'], 'Commuter':d['通勤'], 'color':d['主要颜色'], 'Size':d['尺码']})  if __name__=='__main__':   main()