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Python爬虫:爬取某网站关键词对应商品ID,且存入DB2数据库

时间:2016-05-19 14:43:05      阅读:274      评论:0      收藏:0      [点我收藏+]

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公司研发不给力,我就自己写了一个,专门爬关键词对应的商品ID。

其中还学会了用Python操作DB2数据库、Python发送邮件、写日志文件、处理浏览器访问限制。

 


#!/usr/bin/python
# -*- encoding:utf-8 -*-


import requests
from lxml import etree
import ibm_db
import logging
import sys
import time
import smtplib

#配置写入日志
logging.basicConfig(level=logging.INFO,
format=‘%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s‘,
datefmt=‘%a, %d %b %Y %H:%M:%S‘,
filename=‘keywords_weekly.log‘,
filemode=‘a‘)

#编码
reload(sys)
sys.setdefaultencoding(‘utf-8‘)

# 解决服务器限制访问问题
def get_url_data(url,headers,max_tries=10):
remaining_tries = max_tries
while remaining_tries > 0:
try:
return requests.get(url,headers=headers)
except requests.exceptions:
time.sleep(60)
remaining_tries = remaining_tries - 1
raise Exception("Couldn‘t get the url_data.")



#写入db2
def write_db2(resultdict):
rank=resultdict[‘rank‘]
#由于中文编码问题,关键词直接用update的方法更新
# keywords=resultdict[‘keywords‘]
uv=resultdict[‘uv‘]
frequency=resultdict[‘frequency‘]
goods_id=resultdict[‘goods_id‘]
sql_in="insert into T_KEYWORDS_weekly(K_RANK,UV,FREQUENCY,GOODS_ID,week_YEAR)" \
" values (%r,%r,%r,%r,year(current date)||‘-‘||WEEK_ISO(current date))" % (rank,uv,frequency,goods_id)
ibm_db.exec_immediate(conn, sql_in)
ibm_db.commit(conn)

# #翻页
def get_html(keywords):
#keywords="沙发"
user_agent = ‘Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML like Gecko) Chrome/31.0.1650.63 Safari/537.36‘
headers = { ‘User-Agent‘ : user_agent }
  #网址被我隐藏了哈,可以猜猜
url=‘http://www.XXX.com/category-9999/list-p1/?fl=q&keywords=%s‘%keywords
html = get_url_data(url,headers)
html_list=[html]
selector = etree.HTML(html.text)
#page_f="http://www.meilele.com"
#得到共有多少页,循环得到各个页面的url
page_e=selector.xpath(‘/html/body/div[@class="page-panel"]/div/div/span[@class="p-info"]/b/text()‘)
if page_e:
for i in range(2,int(page_e[0])+1):
url_temp=‘http://www.meilele.com/category-9999/list-p%d/?fl=q&keywords=%s‘%(i,keywords)
html_temp=requests.get(url_temp,headers=headers)
html_list.append(html_temp)
return html_list

# #获取内容
def get_id(dictionary):
keywords=dictionary[1]
html_list=get_html(keywords)
logging.info("get the html_list %s successfully" %keywords)
for each in html_list:
html=each
selector = etree.HTML(html.text)
result={}
try:
content_field = selector.xpath(‘//*[@id="JS_list_panel"]/div[@class="w list-wrap"]/ul[@class="list-goods clearfix"]‘)[0]
except:
content_field=[]
result[‘rank‘]=str(dictionary[0])
# result[‘keywords‘]=str(keywords)
result[‘uv‘]=str(dictionary[2])
result[‘frequency‘]=str(dictionary[3])
result[‘goods_id‘]=str(‘‘)
write_db2(result)
else:
for i in range(1,len(content_field)+1):
goods_id = content_field.xpath(‘li[%d]/@data-goods-id‘%i)[0]
#return goods_id
result[‘rank‘]=str(dictionary[0])
# result[‘keywords‘]=str(keywords)
result[‘uv‘]=str(dictionary[2])
result[‘frequency‘]=str(dictionary[3])
result[‘goods_id‘]=str(goods_id)
write_db2(result)




if __name__ == "__main__":
  #把密码也隐藏起来
conn=ibm_db.connect("DATABASE=aedw;HOSTNAME=miranda;PORT=50000;PROTOCOL=TCPIP;UID=miranda; PWD=miranda;", "", "")
#测试连接
try:
conn
logging.info("connect to DB2 successfully")
except:
logging.info("couldn‘t connect to DB2")
# #创建表
# sql_create=‘create table T_keywords_weekly_TEMP like V_keywords_weekly‘
# stmt_create = ibm_db.exec_immediate(conn, sql_create)
# try:
# stmt_create
# logging.info("create table T_keywords_weekly_TEMP successfully")
# except:
# logging.info("couldn‘t create table T_keywords_weekly_TEMP")
# #插入表
# sql_insert="insert into T_keywords_weekly_TEMP select * from V_keywords_weekly where rank>=100"
# stmt_insert = ibm_db.exec_immediate(conn, sql_insert)
# try:
# stmt_insert
# logging.info("insert into T_keywords_weekly_TEMP successfully")
# except:
# logging.info("couldn‘t insert into table T_keywords_weekly_TEMP")


sql_select="select * from T_keywords_weekly_TEMP where rank>=162"
stmt_select = ibm_db.exec_immediate(conn, sql_select)
try:
stmt_select
logging.info("get the data from T_keywords_weekly_TEMP")
except:
logging.info("couldn‘t get the data from T_keywords_weekly_TEMP")
else:
dictionary = ibm_db.fetch_both(stmt_select)
while dictionary != False:
logging.info (‘rank:‘+str(dictionary[0])+ ‘ keywords:‘+str(dictionary[1]))
get_id(dictionary)
dictionary = ibm_db.fetch_both(stmt_select) #这一句不能少啊
# 更新关键字
sql_update=‘‘‘
MERGE INTO T_KEYWORDS_weekly as tkm
USING T_keywords_weekly_TEMP as tkmt
ON tkm.K_RANK=tkmt.RANK
and tkm.week_YEAR=year(current date)||‘-‘||WEEK_ISO(current date)
WHEN MATCHED
THEN UPDATE SET tkm.KEYWORDS=tkmt.KEYWORDS
ELSE IGNORE
‘‘‘
stmt_update=ibm_db.exec_immediate(conn, sql_update)
try:
stmt_update
logging.info("update the keywords")
except:
logging.info("couldn‘t update the keywords")

# sql_drop="drop table T_keywords_weekly_TEMP"
# stmt_drop = ibm_db.exec_immediate(conn, sql_drop)
# try:
# stmt_drop
# logging.info("drop table T_keywords_weekly_TEMP successfully")
# except:
# logging.info("couldn‘t drop table T_keywords_weekly_TEMP")
#
# ibm_db.close(conn)
# logging.info("close the connect!")

# 配置发送邮件
sender = ‘tangxin2@meilele.com‘
receivers = [‘tangxin2@meilele.com‘]
SUBJECT = "Successfully update T_KEYWORDS_weekly"
TEXT = ‘‘‘
Dear miranda,
your python script of update T_KEYWORDS_weekly of last month have successed.
may you have a good mood
‘‘‘

message = """\
From: %s
To: %s
Subject: %s

%s
""" % (sender, ", ".join(receivers), SUBJECT, TEXT)

try:
smtpObj = smtplib.SMTP(‘mail.meilele.com‘, 25)
smtpObj.sendmail(sender, receivers, message)
logging.info("Successfully sent email")
except:
logging.info("Error: unable to send email" )

print(‘finish‘)

Python爬虫:爬取某网站关键词对应商品ID,且存入DB2数据库

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原文地址:http://www.cnblogs.com/miranda-tang/p/5508390.html

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