爬取豆瓣top250电影信息并存入数据库

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# -*- coding: utf-8 -*-
import sys
import re  # 正则表达式,进行文字匹配
from bs4 import BeautifulSoup  # (网页解析,获取数据)
import urllib.request, urllib.error  # 制定URL,获取网页数据,urllib.request urllib.error
import xlwt  # 进行Excel操作
import sqlite3  # 进行sqlite数据库操作
def main():
    # 爬取网页
    # 解析数据
    # 保存数据
    # headers = {"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.159 Safari/537.36 Edg/92.0.902.78"}
    # req = urllib.request.Request(url=url,headers=headers)
    # response = urllib.request.urlopen(req)
    # 上面为封装,伪装浏览器的headers
    baseurl = "https://movie.douban.com/top250?start="
    datalist = getdata(baseurl)
    # savepath = "豆瓣电影top250.xls"
    dbpath = "movie.db"
    saveData2DB(datalist, dbpath)

    # 保存数据
    # savedata(datalist,savepath)
    # askURL("https://movie.douban.com/top250?start=")



findlink = re.compile(r'<a href="(.*?)">')  # 找链接
findImgSrc = re.compile(r'<img.*src="(.*?)"', re.S)  # 图片
findTitle = re.compile(r'<span class="title">(.*)</span>')  # 片名
findRating = re.compile(r'<span class="rating_num" property="v:average">(.*)</span>')  # 评分
findJudge = re.compile(r'<span>(\d*)人评价</span>')  # 评价人数
findInq = re.compile(r'<span class="inq">(.*)</span>')  # 概况
findBd = re.compile(r'<p class="">(.*?)</p>', re.S)  # 简介

# 爬取网页
def getdata(baseurl):
    datalist = []
    for i in range(0, 10):
        url = baseurl + str(i * 25)
        html = askURL(url)
        # 逐一解析数据
        soup = BeautifulSoup(html, "html.parser")
        for item in soup.find_all('div', class_="item"):

            # print(item)   测试:查看电影item所有信息
            data = []  # 保存信息
            item = str(item)
            link = re.findall(findlink, item)[0]
            # print(link)#影片链接
            data.append(link)  # 添加影片链接
            imgSrc = re.findall(findImgSrc, item)[0]
            data.append(imgSrc)  # 添加图片
            titles = re.findall(findTitle, item)
            if (len(titles) == 2):
                ctitle = titles[0]  # 添加中国名
                data.append(ctitle)
                otitle = titles[1].replace("/", "")  # 去掉无关符号
                data.append(otitle)  # 添加外国名
            else:
                data.append(titles[0])
                data.append(' ')  # 留空
            rating = re.findall(findRating, item)[0]
            data.append(rating)  # 分数

            judgenum = re.findall(findJudge, item)[0]
            data.append(judgenum)  # 评价人数

            inq = re.findall(findInq, item)  # 概述
            if len(inq) != 0:
                inq = inq[0].replace("。", "")  # 去掉句号
                data.append(inq)
            else:
                data.append(" ")
            bd = re.findall(findBd, item)[0]
            bd = re.sub('<br(\s+)?/>(\s+)?', " ", bd)
            bd = re.sub('/', " ", bd)
            data.append(bd.strip())  # 去掉空格
            datalist.append(data)  # 将所有信息放入datalist

    # {
    #     "args": {},
    #     "headers": {
    #         "Accept": "application/json",
    #         "Accept-Encoding": "gzip, deflate",
    #         "Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6",
    #         "Host": "httpbin.org",
    #         "Referer": "http://httpbin.org/",
    #         "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.159 Safari/537.36 Edg/92.0.902.78",
    #         "X-Amzn-Trace-Id": "Root=1-6126847c-1d2b4dbf38d621cb3d2fa729"
    #     },
    #     "origin": "39.149.239.203",
    #     "url": "http://httpbin.org/get"
    # }

    return datalist


def askURL(url):
    head = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.159 Safari/537.36 Edg/92.0.902.78"}
    request = urllib.request.Request(url, headers=head)  # 封装
    html = ""
    try:
        response = urllib.request.urlopen(request)
        html = response.read().decode('utf-8', errors='ignore')
        # print(html)
    except urllib.error.URLError as e:

        if hasattr(e, "code"):
            print(e, code)
        if hasattr(e, "reason"):
            print(e, reason)
    return html


# 保存数据
def savedata(datalist, savepath):
    print("save....")
    book = xlwt.Workbook(encoding="utf-8", style_compression=0)  # 创建workbook对象
    sheet = book.add_sheet("豆瓣电影top250", cell_overwrite_ok=True)  # 创建工作表
    col = ("电影链接", "图片链接", "中文名", "外国名", "评分", "评价人数", "概况", "相关信息")
    for i in range(0, 8):
        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, 8):
            sheet.write(i + 1, j, data[j])

    book.save(savepath)


def saveData2DB(datalist, dbpath):
    print("loading.................")
    init_db(dbpath)
    conn = sqlite3.connect(dbpath)
    cur = conn.cursor()
    for data in datalist:
        for index in range(len(data)):
            if index == 4 or index == 5:
                continue
            data[index] = '"' + data[index] + '"'
        sql = '''
                insert into movie250_2(
                info_link,pic_link,cname,ename,score,rated,instroduction,info)
                values(%s)''' % ",".join(data)
        print(sql)
        cur.execute(sql)

        conn.commit()

    cur.close()

    conn.close()

    print("已完成数据库操作")


def init_db(dbpath):
    sql = '''
        create table movie250_2
        (
        id integer primary key autoincrement,
        info_link text,
        pic_link text,
        cname varchar,
        ename varchar,
        score numeric,
        rated numeric,
        instroduction text,
        info,text


        )




    '''
    conn = sqlite3.connect(dbpath)
    cursor = conn.cursor()
    cursor.execute(sql)
    conn.commit()
    conn.close()


if __name__ == "__main__":
    main()

print("爬取完毕!")

经典系列啊,爬取豆瓣电影信息,但是我觉得还是有点技术在里面的 ,跟大家分享一下我的技术心得:

1.首先是数据库操作,学过数据库的应该了解基础的数据库操作,我用的是MySQL数据库,然后用户名和密码都是自己设置的,具体的数据库操作我会单独放出来再讲讲

2.再就是xlwt,是用于Excel操作的,我们将收集到的信息,打包到Excel上,方便展示

3.爬虫部分就是老一套,伪装headers,get获取response,最后re匹配自己想要的数据就好了

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