之前写过爬取京东商品导航信息,现在献上爬取京东商品详情页信息。
#爬取京东商品详情页信息
#2017/7/30
import requests
from bs4 import BeautifulSoup
import os
import csv
import re
import json
import time
#爬取页面链接
def make_a_link(keyword,page):
try:
r = requests.get("https://search.jd.com/Search?keyword=" + keyword +'&enc=utf-8&page=' + str(2*page-1))
r.raise_for_status
print('正在爬取第{}页...'.format(page))
print('---'*45)
r.encoding = 'gbk'
return r.text
except:
print('链接错误!!!')
return ''
#爬取页面链接
def find_only_link(html):
soup = BeautifulSoup(html,'lxml')
links = soup.find_all('div',class_='gl-i-wrap')
return (link.find('div',class_='p-name p-name-type-2').a['href'] for link in links)#页面链接的生成表达式
#链接单页面
def link_to_url(link):
try:
r = requests.get(link)
r.raise_for_status
r.encoding = 'gbk'
return r.text
except:
print('此页无法链接!!!')
return ''
#爬取商品价格
def getprice(purl):
uid = re.match(r'.+?(\d+).+',purl).group(1)
content = link_to_url('https://p.3.cn/prices/mgets?skuIds=J_' + uid)
jd = json.loads(content.lstrip('[').rstrip(']\n'))#生成json数据格式
return jd['p']
#爬取商品评论
def getcomment(purl):
uid = re.match(r'.+?(\d+).+',purl).group(1)
content = link_to_url('https://club.jd.com/comment/productCommentSummaries.action?referenceIds=' + uid)
jd = json.loads(content)
comment = []
jds = jd['CommentsCount'][0]
comment.append(jds['CommentCountStr'])#评论数
comment.append(jds['GoodCountStr'])#好评数
comment.append(jds['GoodRate'])#好评率
return comment
#爬取商品名称
def getname(purl):
uid = re.match(r'.+?(\d+).+',purl).group(1)
content = link_to_url('https://c.3.cn/recommend?&methods=accessories&sku=' + uid + '&cat=9987%2C653%2C655')
try:
jd = json.loads(content)
return jd['accessories']['data']['wName']
except:
return ''
#爬取卖家
def getseller(purl):
uid = re.match(r'.+?(\d+).+',purl).group(1)
content = link_to_url('https://chat1.jd.com/api/checkChat?pid=' + uid + '&returnCharset=utf-8')
try:
jd = json.loads(content.lstrip('null(').rstrip(');'))
try:
return jd['seller']
except:
return ''
except:
''
#保存到csv
def save_to_csv(ulist,keyword):
path = 'D:/数据/'
if not os.path.exists(path):
os.mkdir(path)
with open(path + '京东' + keyword + '数据.csv','w+' ) as f:
writer = csv.writer(f)
writer.writerow(['商品','价格','店铺','链接','评论数','好评数','好评率'])
for i in range(len(ulist)):
if ulist[i] and ulist[i][0]:
writer.writerow([ulist[i][0],ulist[i][1],ulist[i][2],ulist[i][3],ulist[i][4],ulist[i][5],ulist[i][6]])
#主函数
def relmain(keyword):#高阶函数
def main(page):
r = re.compile(r'.*?html')
ulist = []
for p in range(page):
p += 1
text = make_a_link(keyword,p)
for url in find_only_link(text):
ul = []
if r.match(url):
if getname(url):
ul.append(getname(url))#商品名称
print(getname(url))
ul.append(getprice(url))#价格
ul.append(getseller(url))#店铺
ul.append('https:' + url)#链接
print('https:' + url)
ul.extend(getcomment(url))#评论
print('*-*' * 45)
ulist.append(ul)
save_to_csv(ulist,keyword)
return main
if __name__ == '__main__':
keyword = input('输入要爬取的商品:')
pages = int(input('输入要爬取的页数:'))
time_start = time.time()
relmain(keyword)(pages)
print('耗时{}秒。'.format(time.time() - time_start))#爬取所需时间