注:1.本程序采用MSSQLserver数据库存储,请运行程序前手动修改程序开头处的数据库链接信息
2.需要bs4、requests、pymssql库支持
3.支持多线程
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from bs4 import BeautifulSoup import re,requests,pymysql,threading,os,traceback 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() |
示例截图:
关键词:Android下的部分运行结果(以导出至Excel)
总结
以上就是本文关于Python爬取当当、京东、亚马逊图书信息代码实例的全部内容,希望对大家有所帮助。如有不足之处,欢迎留言指出。感谢朋友们对本站的支持!
原文链接:http://blog.csdn.net/yuanlaijike/article/details/65936197