爬取豆瓣读书Top250，导入sqlist数据库（或excel表格）中

爬取豆瓣读书Top250，导入sqlist数据库（或excel表格）中

获取源代码请访问https://github.com/zhang020801/douban_bookTop250

一、程序源代码

import re                           #正则表达式
from bs4 import BeautifulSoup       #提取数据
import urllib.request,urllib.error  #申请访问网页，返回网页源代码
import xlwt                         #保存数据到excel表格
import sqlite3                      #保存数据到sqlist数据库中

def main():
    #声明爬取的网页
    baseurl = "https://book.douban.com/top250?start="
    #获取数据
    datalist = getData(baseurl)
    #print(datalist)
    #保存数据
    #savepath = "豆瓣读书Top250.xls"
    dbpath = "book.db"
    #saveData(datalist,savepath)
    saveData2(datalist,dbpath)

#正则表达式
findlink = re.compile(r'<a href="(.*?)" οnclick=".*?" title=".*?">')        #图书链接
findtitle = re.compile(r'<a href=".*?" οnclick=".*?" title="(.*?)">')       #图书名
findimglink = re.compile(r'<img src="(.*?)" width="90"/>')                  #封面链接
findauthor = re.compile(r'<p class="pl">(.*?) / (.*?) / .*? / .*?/.*?</p>') #作者/译者
findpress = re.compile(r'<p class="pl">.*? / .*? / (.*?) / .*?/.*?</p>')    #出版社
findtime = re.compile(r'<p class="pl">.*? / .*? / .*? / (.*?) / .*?</p>')   #出版时间
findmoney = re.compile(r'<p class="pl">.*? / .*? / .*? / .*? / (.*?)</p>')  #图书售价
findscore = re.compile(r'<span class="rating_nums">(.*?)</span>')           #评分
findpeople = re.compile(r'<span class="pl">.*?(.*?)人评价.*?</span>',re.S)   #评价人数
findjieshao = re.compile(r'<span class="inq">(.*?)</span>')                 #介绍


def getData(baseurl):
    datalist = []
    for i in range(0,10):
        url = baseurl + str(i*25)
        html = askURL(url)
        #print(html)

        soup = BeautifulSoup(html,"html.parser")
        for item in soup.find_all('table',width="100%"):
            item = str(item)    #转换成str格式
            #print(item)
            data = []

            title = re.findall(findtitle, item)[0]
            #print(title)
            data.append(title)

            score = re.findall(findscore,item)[0]
            #print(score)
            data.append(score)

            link = re.findall(findlink,item)[0]
            #print(link)
            data.append(link)

            imglink = re.findall(findimglink,item)[0]
            #print(imglink)
            data.append(imglink)

            author = re.findall(findauthor,item)
            if len(author)==0:
                author = re.findall(r'<p class="pl">(.*?) / .*? / .*?</p>',item)
            author = author[0]
            #print(author)
            data.append(author)

            press = re.findall(findpress,item)
            if len(press)==0:
                press = re.findall(r'<p class="pl">.*? / (.*?) / .*? / .*?</p>',item)
            if len(press)==0:
                press = " "
            else:press = press[0]
            #print(press)
            data.append(press)

            time = re.findall(findtime,item)
            if len(time)==0:
                time = re.findall(r'<p class="pl">.*? / .*? / (.*?) / .*?</p>',item)
            if len(time)==0:
                time = " "
            else:time = time[0]
            #print(time)
            data.append(time)

            money = re.findall(findmoney,item)
            if len(money)==0:
                money = re.findall(r'<p class="pl">.*? / .*? / .*?/ (.*?)</p>',item)
            if len(money)==0:
                money = " "
            else:money = money[0]
            #print(money)
            data.append(money)

            people = re.findall(findpeople,item)
            #people = people[0].replace(" ","")
            people = people[0].replace("(\n                    ","")
            #print(people)
            data.append(people)

            jieshao = re.findall(findjieshao,item)
            if len(jieshao)==0:
                jieshao = " "
            jieshao = jieshao[0]
            #print(jieshao)
            data.append(jieshao)


            datalist.append(data)
    return datalist
def askURL(url):
    head = {
    
    
        "User-Agent": "Mozilla / 5.0(Windows NT 10.0;Win64;x64) AppleWebKit / 537.36(KHTML, likeGecko) Chrome / 80.0.3987.163Safari / 537.36"
    }
    request = urllib.request.Request(url,headers=head)
    html = ""
    try:
        response = urllib.request.urlopen(request)
        html = response.read().decode('utf-8')
    except urllib.error.URLError as e:
        if hasattr(e,"code"):
            print(e.code)
        if hasattr(e,"reason"):
            print(e.reason)
    return html

def saveData(datalist,savepath):
    print("开始保存...")
    book = xlwt.Workbook(encoding="utf-8",style_compression=0)
    sheet = book.add_sheet('豆瓣读书Top250',cell_overwrite_ok=True)
    col = ("图书名","评分","图书链接","封面图片链接","作者/译者","出版社","出版时间","售价","评价人数","简要介绍")
    for i in range(0,10):
        sheet.write(0,i,col[i])
    for i in range(0,250):
        print("第%d条"%(i+1))
        data = datalist[i]
        for j in range(0,10):
            sheet.write(i+1,j,data[j])
    book.save(savepath)
    print("保存完成")
def saveData2(datalist,dbpath):
    init_db(dbpath)
    conn = sqlite3.connect(dbpath)
    cur = conn.cursor()

    for data in datalist:
        # for index in range(len(data)):
        #     if index==1 or index==8:
        #         continue
        #     else:data[index] = '"' + data[index] + '"'
        sql = '''
        insert into book250(
        title,score,book_link,Img_link,author,press,time,money,num,jieshao)
        values ("%s","%s","%s","%s","%s","%s","%s","%s","%s","%s")'''%(data[0],data[1],data[2],data[3],data[4],data[5],data[6],data[7],data[8],data[9])
        print(sql)
        cur.execute(sql)
        conn.commit()
    cur.close()
    conn.close()
def init_db(dbpath):
    sql = '''
    create table book250
    (
    id integer primary key autoincrement,
    title varchar ,
    score numeric ,
    book_link text,
    Img_link text,
    author text,
    press text,
    time text,
    money text,
    num numeric ,
    jieshao text
    )
    '''
    conn = sqlite3.connect(dbpath)
    cursor = conn.cursor()
    cursor.execute(sql)
    conn.commit()
    conn.close()
if __name__ =="__main__":
    main()

二、程序运行结果

1）将数据导入到excel表格中


2）将数据导入到sqlist数据库中