python爬虫获取淘宝天猫商品详细参数

首先我是从淘宝进去，爬取了按销量排序的所有（100页）女装的列表信息按综合、销量分别爬取淘宝女装列表信息，然后导出前100商品的 link，爬取其详细信息。这些商品有淘宝的，也有天猫的，这两个平台有些区别，处理的时候要注意。比如，有的说“面料”、有的说“材质成分”，其实是一个意思，等等。可以取不同的链接做一下测试。

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() 

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