Python爬取当当、京东、亚马逊图书信息代码实例

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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

from bs4 import BeautifulSoup 
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import re,requests,pymysql,threading,os,traceback 
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try: 
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 conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='root', db='book',charset="utf8") 
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 cursor = conn.cursor() 
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except: 
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 print('\n错误：数据库连接失败') 
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#返回指定页面的html信息 
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def getHTMLText(url): 
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 try: 
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 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'} 
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 r = requests.get(url,headers = headers) 
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 r.raise_for_status() 
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 r.encoding = r.apparent_encoding 
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 return r.text 
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 except: 
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 return '' 
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#返回指定url的Soup对象 
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def getSoupObject(url): 
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 try: 
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 html = getHTMLText(url) 
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 soup = BeautifulSoup(html,'html.parser') 
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 return soup 
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 except: 
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 return '' 
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#获取该关键字在图书网站上的总页数 
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def getPageLength(webSiteName,url): 
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 try: 
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 soup = getSoupObject(url) 
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 if webSiteName == 'DangDang': 
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 a = soup('a',{'name':'bottom-page-turn'}) 
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 return a[-1].string 
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 elif webSiteName == 'Amazon': 
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 a = soup('span',{'class':'pagnDisabled'}) 
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 return a[-1].string 
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 except: 
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 print('\n错误：获取{}总页数时出错...'.format(webSiteName)) 
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 return -1
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class DangDangThread(threading.Thread): 
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 def __init__(self,keyword): 
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 threading.Thread.__init__(self) 
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 self.keyword = keyword 
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 def run(self): 
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 print('\n提示：开始爬取当当网数据...') 
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 count = 1
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 length = getPageLength('DangDang','http://search.dangdang.com/?key={}'.format(self.keyword))#总页数 
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 tableName = 'db_{}_dangdang'.format(self.keyword) 
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 try: 
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 print('\n提示：正在创建DangDang表...') 
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 cursor.execute('create table {} (id int ,title text,prNow text,prPre text,link text)'.format(tableName)) 
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 print('\n提示：开始爬取当当网页面...') 
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 for i in range(1,int(length)): 
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 url = 'http://search.dangdang.com/?key={}&page_index={}'.format(self.keyword,i) 
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 soup = getSoupObject(url) 
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 lis = soup('li',{'class':re.compile(r'line'),'id':re.compile(r'p')}) 
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 for li in lis: 
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 a = li.find_all('a',{'name':'itemlist-title','dd_name':'单品标题'}) 
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 pn = li.find_all('span',{'class': 'search_now_price'}) 
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 pp = li.find_all('span',{'class': 'search_pre_price'}) 
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 if not len(a) == 0: 
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 link = a[0].attrs['href'] 
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 title = a[0].attrs['title'].strip() 
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 else: 
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 link = 'NULL'
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 title = 'NULL'
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 if not len(pn) == 0: 
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 prNow = pn[0].string 
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 else: 
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 prNow = 'NULL'
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 if not len(pp) == 0: 
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 prPre = pp[0].string 
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 else: 
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 prPre = 'NULL'
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 sql = "insert into {} (id,title,prNow,prPre,link) values ({},'{}','{}','{}','{}')".format(tableName,count,title,prNow,prPre,link) 
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 cursor.execute(sql) 
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 print('\r提示：正在存入当当数据,当前处理id：{}'.format(count),end='') 
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 count += 1
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 conn.commit() 
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 except: 
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 pass
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class AmazonThread(threading.Thread): 
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 def __init__(self,keyword): 
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 threading.Thread.__init__(self) 
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 self.keyword = keyword 
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 def run(self): 
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 print('\n提示：开始爬取亚马逊数据...') 
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 count = 1
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 length = getPageLength('Amazon','https://www.amazon.cn/s/keywords={}'.format(self.keyword))#总页数 
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 tableName = 'db_{}_amazon'.format(self.keyword) 
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 try: 
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 print('\n提示：正在创建Amazon表...') 
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 cursor.execute('create table {} (id int ,title text,prNow text,link text)'.format(tableName)) 
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 print('\n提示：开始爬取亚马逊页面...') 
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 for i in range(1,int(length)): 
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 url = 'https://www.amazon.cn/s/keywords={}&page={}'.format(self.keyword,i) 
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 soup = getSoupObject(url) 
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 lis = soup('li',{'id':re.compile(r'result_')}) 
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 for li in lis: 
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 a = li.find_all('a',{'class':'a-link-normal s-access-detail-page a-text-normal'}) 
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 pn = li.find_all('span',{'class': 'a-size-base a-color-price s-price a-text-bold'}) 
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 if not len(a) == 0: 
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 link = a[0].attrs['href'] 
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 title = a[0].attrs['title'].strip() 
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 else: 
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 link = 'NULL'
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 title = 'NULL'
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 if not len(pn) == 0: 
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 prNow = pn[0].string 
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 else: 
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 prNow = 'NULL'
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 sql = "insert into {} (id,title,prNow,link) values ({},'{}','{}','{}')".format(tableName,count,title,prNow,link) 
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 cursor.execute(sql) 
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 print('\r提示：正在存入亚马逊数据,当前处理id：{}'.format(count),end='') 
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 count += 1
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 conn.commit() 
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 except: 
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 pass
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class JDThread(threading.Thread): 
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 def __init__(self,keyword): 
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 threading.Thread.__init__(self) 
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 self.keyword = keyword 
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 def run(self): 
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 print('\n提示：开始爬取京东数据...') 
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 count = 1
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 tableName = 'db_{}_jd'.format(self.keyword) 
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 try: 
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 print('\n提示：正在创建JD表...') 
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 cursor.execute('create table {} (id int,title text,prNow text,link text)'.format(tableName)) 
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 print('\n提示：开始爬取京东页面...') 
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 for i in range(1,100): 
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 url = 'https://search.jd.com/Search?keyword={}&page={}'.format(self.keyword,i) 
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 soup = getSoupObject(url) 
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 lis = soup('li',{'class':'gl-item'}) 
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 for li in lis: 
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 a = li.find_all('div',{'class':'p-name'}) 
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 pn = li.find_all('div',{'class': 'p-price'})[0].find_all('i') 
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 if not len(a) == 0: 
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 link = 'http:' + a[0].find_all('a')[0].attrs['href'] 
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 title = a[0].find_all('em')[0].get_text() 
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 else: 
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 link = 'NULL'
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 title = 'NULL'
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 if(len(link) > 128): 
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 link = 'TooLong'
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 if not len(pn) == 0: 
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 prNow = '￥'+ pn[0].string 
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 else: 
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 prNow = 'NULL'
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 sql = "insert into {} (id,title,prNow,link) values ({},'{}','{}','{}')".format(tableName,count,title,prNow,link) 
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 cursor.execute(sql) 
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 print('\r提示：正在存入京东网数据,当前处理id：{}'.format(count),end='') 
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 count += 1
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 conn.commit() 
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 except : 
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 pass
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def closeDB(): 
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 global conn,cursor 
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 conn.close() 
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 cursor.close() 
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def main(): 
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 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') 
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 keyword = input("\n提示：请输入要爬取的关键字：") 
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 dangdangThread = DangDangThread(keyword) 
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 amazonThread = AmazonThread(keyword) 
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 jdThread = JDThread(keyword) 
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 dangdangThread.start() 
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 amazonThread.start() 
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 jdThread.start() 
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 dangdangThread.join() 
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 amazonThread.join() 
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 jdThread.join() 
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 closeDB() 
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 print('\n爬取已经结束，即将关闭....') 
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 os.system('pause') 
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main()

示例截图：

关键词：Android下的部分运行结果（以导出至Excel）

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