首先我是從淘寶進去，爬取了按銷量排序的所有（100頁）女裝的列表信息按綜合、銷量分別爬取淘寶女裝列表信息，然后導(dǎo)出前100商品的 link，爬取其詳細信息。這些商品有淘寶的，也有天貓的，這兩個平臺有些區(qū)別，處理的時候要注意。比如，有的說“面料”、有的說“材質(zhì)成分”，其實是一個意思，等等。可以取不同的鏈接做一下測試。

import re from collections import OrderedDict from bs4 import BeautifulSoup from pyquery import PyQuery as pq  #獲取整個網(wǎng)頁的源代碼 from config import *  #可引用congif的所有變量  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  #獲取整個網(wǎng)頁的源代碼 import pandas as pd  # 測試 淘寶+天貓，可完整輸出及保存  browser = webdriver.Firefox() wait = WebDriverWait(browser,10)  ####### 天貓上半部分詳情 ############# def get_tianmao_header(url):   browser.get(url)   # wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR,'#mainsrp-itemlist .items .item'))) #加載所有寶貝   html=browser.page_source   doc = pq(html)   # print(doc)   info = OrderedDict() # 存放該商品所具有的全部信息   items = doc('#page')    # info['店鋪名'] = items.find('.slogo').find('.slogo-shopname').text()   # info['ID'] = items.find('#LineZing').attr['itemid']   info['寶貝'] = items.find('.tb-detail-hd').find('h1').text()   info['促銷價'] = items.find('#J_PromoPrice').find('.tm-promo-price').find('.tm-price').text()   info['原價'] = items.find('#J_StrPriceModBox').find('.tm-price').text()   # '月銷量' :items.find('.tm-ind-panel').find('.tm-ind-item tm-ind-sellCount').find('.tm-indcon').find('.tm-count').text(),   info['月銷量'] = items.find('.tm-ind-panel').find('.tm-indcon').find('.tm-count').text().split(' ',2)[0]   info['累計評價'] = items.find('#J_ItemRates').find('.tm-indcon').find('.tm-count').text()   # print(info)   return info  ######## 淘寶上半部分詳情 ############### def get_taobao_header(url):   browser.get(url)   # wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR,'#mainsrp-itemlist .items .item'))) #加載所有寶貝   html=browser.page_source   doc = pq(html)   # print(doc)   info = OrderedDict() # 存放該商品所具有的全部信息   items = doc('#page')    # info['店鋪名'] = items.find('.tb-shop-seller').find('.tb-seller-name').text()   # info['ID'] = items.find('#J_Pine').attr['data-itemid']   info['寶貝'] = items.find('#J_Title').find('h3').text()   info['原價'] = items.find('#J_StrPrice').find('.tb-rmb-num').text()   info['促銷價'] = items.find('#J_PromoPriceNum').text()   # '月銷量' :items.find('.tm-ind-panel').find('.tm-ind-item tm-ind-sellCount').find('.tm-indcon').find('.tm-count').text(),   info['月銷量'] = items.find('#J_SellCounter').text()   info['累計評價'] = items.find('#J_RateCounter').text()   # print(info)   return info  ####################### 詳情 ############################ # 抓取所有商品詳情 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%">材質(zhì)成分: 其他100%</li>,<li ...</li>]   attrs_name = []   attrs_value = []   '''''   [/s] 匹配空格，[/s]*,后面有 *，則可以為空   * : 匹配前面的子表達式任意次   '''    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', '材質(zhì)成分', ...]   # print('attrs_value=',attrs_value)  # attrs_value= ['薄', '其他100%', ...]    allattrs = OrderedDict() # 存放該產(chǎn)品詳情頁面所具有的屬性   for k in range(0, len(attrs_name)):     allattrs[attrs_name[k]] = attrs_value[k]   # print('allattrs=',allattrs)  # allattrs= OrderedDict([('厚薄', '薄'), ('材質(zhì)成分', '其他100%'),...])    # info = OrderedDict() # 存放該商品所具有的全部信息   # info = get_headdetail2(url)    # 下面三條語句獲取描述、服務(wù)、物流的評分信息    # 下面的語句用來判斷該商品具有哪些屬性，如果具有該屬性，將屬性值插入有序字典，否則，該屬性值為空   # 適用場景   if '材質(zhì)成分' in attrs_name:     info['材質(zhì)成分'] = allattrs['材質(zhì)成分']   elif '面料' in attrs_name:     info['材質(zhì)成分'] = allattrs['面料']   else:     info['材質(zhì)成分'] = 'NA'    # 適用對象   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'    #季節(jié)   if '年份季節(jié)' in attrs_name:     info['年份季節(jié)'] = allattrs['年份季節(jié)']   else:     info['年份季節(jié)'] = 'NA'    # 款式   if '袖長' in attrs_name:     info['袖長'] = allattrs['袖長']   else:     info['袖長'] = 'NA'   # 尺碼   if '銷售渠道類型' in attrs_name:     info['銷售渠道類型'] = allattrs['銷售渠道類型']   else:     info['銷售渠道類型'] = 'NA'   # 帽頂款式   if '貨號' in attrs_name:     info['貨號'] = allattrs['貨號']   else:     info['貨號'] = 'NA'   # 帽檐款式   if '服裝版型' in attrs_name:     info['服裝版型'] = allattrs['服裝版型']   else:     info['服裝版型'] = 'NA'   # 檐形   if '衣長' in attrs_name:     info['衣長'] = allattrs['衣長']   else:     info['衣長'] = 'NA'   # 主要材質(zhì)   if '領(lǐng)型' in attrs_name:     info['領(lǐng)型'] = allattrs['領(lǐng)型']   else:     info['領(lǐng)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'   # 風(fēng)格   if '圖案' in attrs_name:     info['圖案'] = allattrs['圖案']   elif '中老年女裝圖案' in attrs_name:     info['圖案'] = allattrs['中老年女裝圖案']   else:     info['圖案'] = 'NA'    # 款式細節(jié)   if '服裝款式細節(jié)' in attrs_name:     info['服裝款式細節(jié)'] = allattrs['服裝款式細節(jié)']   else:     info['服裝款式細節(jié)'] = 'NA'    # 適用年齡   if '適用年齡' in attrs_name:     info['適用年齡'] = allattrs['適用年齡']   else:     info['適用年齡'] = 'NA'    # 風(fēng)格   if '風(fēng)格' in attrs_name:     info['風(fēng)格'] = allattrs['風(fēng)格']   elif '中老年風(fēng)格' in attrs_name:     info['風(fēng)格'] = allattrs['中老年風(fēng)格']   else:     info['風(fēng)格'] = 'NA'    #通勤   if '通勤' in attrs_name:     info['通勤'] = allattrs['通勤']   else:     info['通勤'] = 'NA'    if '裙長' in attrs_name:     info['裙長'] = allattrs['裙長']   else:     info['裙長'] = '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'    # 顏色分類   if '主要顏色' in attrs_name:     info['主要顏色'] = allattrs['主要顏色']   else:     info['主要顏色'] = 'NA'   if '顏色分類' in attrs_name:     info['主要顏色'] = allattrs['顏色分類']   else:     info['主要顏色'] = 'NA'    #尺碼   if '尺碼' in attrs_name:     info['尺碼'] = allattrs['尺碼']   else:     info['尺碼'] = 'NA'    if '組合形式' in attrs_name:     info['組合形式'] = allattrs['組合形式']   else:     info['組合形式'] = 'NA'    if '褲長' in attrs_name:     info['褲長'] = allattrs['褲長']   else:     info['褲長'] = 'NA'    return info   import csv  def main():   # 提取 列   with open('clothes_detai.csv', 'w', newline='', encoding='utf-8') as csvfile:     # fieldnames = ['店鋪ID','店鋪名','鏈接','寶貝','原價','促銷價','月銷量','累計評價','材質(zhì)成分','流行元素','袖長','年份季節(jié)','銷售渠道類型','貨號','服裝版型','衣長','領(lǐng)型','袖型',     #        '裙型','裙長','腰型','褲長','組合形式','品牌','圖案','服裝款式細節(jié)', '適用年齡','風(fēng)格','通勤','主要顏色','尺碼']     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({'店鋪ID':f['shop_id'],'店鋪名':f['shop']})     keys, values = [], []     # for url in urls:     for i in urls:       url = 'http:' + i       #  endswith 判斷字符串是否以指定的字符串結(jié)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')  # 淘寶 class       else:         info = get_tianmao_header(url)          res = requests.get(url)         soup = BeautifulSoup(res.text, "html.parser")         attrs = soup.select('#J_AttrUL li') # 天貓 id         # print('attrs=',attrs)        d = get_Details(attrs,info)       print(d)       # for j in f[shop_id]:       #   d['店鋪ID'] = j       # for s in f['shop']:       #   d['店鋪名'] = s       #'Shop':d['店鋪名'],'Data_id':d['ID'],       writer.writerow({'Link':url,'Brand':d['品牌'],'Title':d['寶貝'], 'Price':d['原價'], 'Sale price':d['促銷價'], 'Sales':d['月銷量'], 'Evaluations':d['累計評價'],                'Component':d['材質(zhì)成分'], 'Fashion elements':d['流行元素'], 'Sleeve':d['袖長'], 'Seasons':d['年份季節(jié)'], 'Sales channels':d['銷售渠道類型'],                'Number':d['貨號'],'Clothes_Style':d['服裝版型'],'Long':d['衣長'],'Collar type':d['領(lǐng)型'], 'Sleeve type':d['袖型'],                'Skirt type':d['裙型'], 'Skirt length':d['裙長'], 'Waist':d['腰型'], 'Combining form':d['組合形式'], 'Outseam':d['褲長'],                'Design':d['圖案'], 'Fashion pattern detail':d['服裝款式細節(jié)'], 'Applicable age':d['適用年齡'],                'Style':d['風(fēng)格'], 'Commuter':d['通勤'], 'color':d['主要顏色'], 'Size':d['尺碼']})  if __name__=='__main__':   main()