蘇寧的爬取和京東的爬取是一樣的，方法類似
這是爬取京東的例子：
https://blog.csdn.net/Dream____Fly/article/details/99698222
現(xiàn)在分析蘇寧的首頁，這個頁面還算比較

這個很容易獲取，獲取之后在前面拼接https就行了
到這里就可以看代碼操作了：

            
              import requests
from bs4 import BeautifulSoup

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36',
}

def two_request(new_url):
    print(new_url)
    # two_response = requests.get(url=new_url,headers=headers,verify=False)
    # two_soup = BeautifulSoup(two_response.text,'lxml')
    #需要什么加什么
def first_resquest(first_response):
    soup = BeautifulSoup(first_response.text,'lxml')
    first_body = soup.select('.u-items-list > .f-rt-list > ul > li > a')
    for num in first_body:
        new_url = 'https:' + str(num['href'])
        #發(fā)起二次請求
        two_request(new_url)

def main():
    url = 'https://pindao.suning.com/city/caidian.html?safp=d488778a.homepage1.99345513004.6'
    #第一次請求，獲得請求
    first_response = requests.get(url=url,headers=headers,verify=False)
    first_resquest(first_response)

if __name__ == '__main__':
    main()

            
          

接下來獲取蘇寧易購的商品評論，這里需要抓取json包

到這里應該已經(jīng)完成了所有的需求

2.蘇寧易購直接獲取商品的評論

            
              import urllib.request
import json,jsonpath

url = 'https://review.suning.com/ajax/cluster_review_lists/general-30075272-000000000627657477-0000000000-total-2-default-10-----reviewList.htm?callback=reviewList'

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36',
}

request = urllib.request.Request(url=url,headers=headers)
content = urllib.request.urlopen(request).read().decode('utf8')
# print('*'*100)
# print(content)
# print('*'*100)
content = content.strip('reviewList()')
# print('-'*100)
# print(content)
# print('-'*100)
obj = json.loads(content)
#找到所有的品論列表
comments = obj['commodityReviews']
fp = open('蘇寧評論.txt','w',encoding='utf8')
for comment in comments:
    #評論時間
    publishTime = comment['publishTime']
    #用戶
    nickname = comment['userInfo']['nickName']
    #評論內(nèi)容
    content = comment['content']
    #圖片地址
    is_have = comment['picVideoFlag']
    if is_have == True:
        image_src = jsonpath.jsonpath(comment,'$..imageInfo[*].url')
    else:
        image_src = "無"

    #保存
    item = {
        '評論時間':publishTime,
        '用戶':nickname,
        '評論內(nèi)容':content,
        '圖片地址':image_src,
    }
    string = str(item)
    fp.write(string + '\n')