本篇内容主要讲解“如何用Python爬取当当、京东、亚马逊图书信息”，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习“如何用Python爬取当当、京东、亚马逊图书信息”吧!
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。
源码
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'}) 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 ）
到此，相信大家对“如何用Python爬取当当、京东、亚马逊图书信息”有了更深的了解，不妨来实际操作一番吧！这里是编程网网站，更多相关内容可以进入相关频道进行查询，关注我们，继续学习！
