This article describes the Python crawling Jingdong, Amazon book information code examples, it has a certain reference value, a friend in need can refer to.
Note:
1. This program uses MSSQLserver database to store, modify the program manually before running the program at the beginning of the database link information
2. Need bs4, requests, pymssql library support
3. Support multithreading
from bs4 import BeautifulSoup
import re,requests,pymysql,threading,os,traceback
'''
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'''
try:
conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='root', db='book',charset="utf8")
cursor = conn.cursor()
except:
print('\n错误：数据库连接失败')
#返回指定页面的html信息
def getHTMLText(url):
try:
headers = {'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36'}
r = requests.get(url,headers = headers)
r.raise_for_status()
r.encoding = r.apparent_encoding
return r.text
except:
return ''
#返回指定url的Soup对象
def getSoupObject(url):
try:
html = getHTMLText(url)
soup = BeautifulSoup(html,'html.parser')
return soup
except:
return ''
#获取该关键字在图书网站上的总页数
def getPageLength(webSiteName,url):
try:
soup = getSoupObject(url)
if webSiteName == 'DangDang':
a = soup('a',{'name':'bottom-page-turn'})
return a[-1].string
elif webSiteName == 'Amazon':
a = soup('span',{'class':'pagnDisabled'})
return a[-1].string
except:
print('\n错误：获取{}总页数时出错...'.format(webSiteName))
return -1
class DangDangThread(threading.Thread):
def __init__(self,keyword):
threading.Thread.__init__(self)
self.keyword = keyword
def run(self):
print('\n提示：开始爬取当当网数据...')
count = 1
length = getPageLength('DangDang','http://search.dangdang.com/?key={}'.format(self.keyword))#总页数
tableName = 'db_{}_dangdang'.format(self.keyword)
try:
print('\n提示：正在创建DangDang表...')
cursor.execute('create table {} (id int ,title text,prNow text,prPre text,link text)'.format(tableName))
print('\n提示：开始爬取当当网页面...')
for i in range(1,int(length)):
url = 'http://search.dangdang.com/?key={}&page_index={}'.format(self.keyword,i)
soup = getSoupObject(url)
lis = soup('li',{'class':re.compile(r'line'),'id':re.compile(r'p')})
for li in lis:
a = li.find_all('a',{'name':'itemlist-title','dd_name':'单品标题'})
pn = li.find_all('span',{'class': 'search_now_price'})
pp = li.find_all('span',{'class': 'search_pre_price'})
if not len(a) == 0:
link = a[0].attrs['href']
title = a[0].attrs['title'].strip()
else:
link = 'NULL'
title = 'NULL'
if not len(pn) == 0:
prNow = pn[0].string
else:
prNow = 'NULL'
if not len(pp) == 0:
prPre = pp[0].string
else:
prPre = 'NULL'
sql = "insert into {} (id,title,prNow,prPre,link) values ({},'{}','{}','{}','{}')".format(tableName,count,title,prNow,prPre,link)
cursor.execute(sql)
print('\r提示：正在存入当当数据,当前处理id：{}'.format(count),end='')
count += 1
conn.commit()
except:
pass
class AmazonThread(threading.Thread):
def __init__(self,keyword):
threading.Thread.__init__(self)
self.keyword = keyword
def run(self):
print('\n提示：开始爬取亚马逊数据...')
count = 1
length = getPageLength('Amazon','https://www.amazon.cn/s/keywords={}'.format(self.keyword))#总页数
tableName = 'db_{}_amazon'.format(self.keyword)
try:
print('\n提示：正在创建Amazon表...')
cursor.execute('create table {} (id int ,title text,prNow text,link text)'.format(tableName))
print('\n提示：开始爬取亚马逊页面...')
for i in range(1,int(length)):
url = 'https://www.amazon.cn/s/keywords={}&page={}'.format(self.keyword,i)
soup = getSoupObject(url)
lis = soup('li',{'id':re.compile(r'result_')})
for li in lis:
a = li.find_all('a',{'class':'a-link-normal s-access-detail-page a-text-normal'})
pn = li.find_all('span',{'class': 'a-size-base a-color-price s-price a-text-bold'})
if not len(a) == 0:
link = a[0].attrs['href']
title = a[0].attrs['title'].strip()
else:
link = 'NULL'
title = 'NULL'
if not len(pn) == 0:
prNow = pn[0].string
else:
prNow = 'NULL'
sql = "insert into {} (id,title,prNow,link) values ({},'{}','{}','{}')".format(tableName,count,title,prNow,link)
cursor.execute(sql)
print('\r提示：正在存入亚马逊数据,当前处理id：{}'.format(count),end='')
count += 1
conn.commit()
except:
pass
class JDThread(threading.Thread):
def __init__(self,keyword):
threading.Thread.__init__(self)
self.keyword = keyword
def run(self):
print('\n提示：开始爬取京东数据...')
count = 1
tableName = 'db_{}_jd'.format(self.keyword)
try:
print('\n提示：正在创建JD表...')
cursor.execute('create table {} (id int,title text,prNow text,link text)'.format(tableName))
print('\n提示：开始爬取京东页面...')
for i in range(1,100):
url = 'https://search.jd.com/Search?keyword={}&page={}'.format(self.keyword,i)
soup = getSoupObject(url)
lis = soup('li',{'class':'gl-item'})
for li in lis:
a = li.find_all('div',{'class':'p-name'})
pn = li.find_all('div',{'class': 'p-price'})[0].find_all('i')
if not len(a) == 0:
link = 'http:' + a[0].find_all('a')[0].attrs['href']
title = a[0].find_all('em')[0].get_text()
else:
link = 'NULL'
title = 'NULL'
if(len(link) > 128):
link = 'TooLong'
if not len(pn) == 0:
prNow = '￥'+ pn[0].string
else:
prNow = 'NULL'
sql = "insert into {} (id,title,prNow,link) values ({},'{}','{}','{}')".format(tableName,count,title,prNow,link)
cursor.execute(sql)
print('\r提示：正在存入京东网数据,当前处理id：{}'.format(count),end='')
count += 1
conn.commit()
except :
pass
def closeDB():
global conn,cursor
conn.close()
cursor.close()
def main():
print('提示：使用本程序，请手动创建空数据库：Book，并修改本程序开头的数据库连接语句')
keyword = input("\n提示：请输入要爬取的关键字：")
dangdangThread = DangDangThread(keyword)
amazonThread = AmazonThread(keyword)
jdThread = JDThread(keyword)
dangdangThread.start()
amazonThread.start()
jdThread.start()
dangdangThread.join()
amazonThread.join()
jdThread.join()
closeDB()
print('\n爬取已经结束，即将关闭....')
os.system('pause')
main()
Example screenshots:
Keywords: operating results section under Android (to export to Excel)
