参考： https://blog.csdn.net/bookssea/article/details/107309591
参考文章没问题。
re库参考文章： https://blog.csdn.net/qq_41817925/article/details/118786558
再记录一遍代码：
# -*- codeing = utf-8 -*- from bs4 import BeautifulSoup # 网页解析，获取数据 import re # 正则表达式，进行文字匹配` import urllib.request, urllib.error # 制定URL，获取网页数据 import xlwt # 进行excel操作 #import sqlite3 # 进行SQLite数据库操作 findLink = re.compile(r'<a href="(.*?)">') # 创建正则表达式对象，标售规则 影片详情链接的规则 findImgSrc = re.compile(r'<img.*src="(.*?)"', re.S) findTitle = re.compile(r'<span class="title">(.*)</span>') findRating = re.compile(r'<span class="rating_num" property="v:average">(.*)</span>') findJudge = re.compile(r'<span>(\d*)人评价</span>') findInq = re.compile(r'<span class="inq">(.*)</span>') findBd = re.compile(r'<p class="">(.*?)</p>', re.S) def main(): baseurl = "https://movie.douban.com/top250?start=" #要爬取的网页链接 # 1.爬取网页 datalist = getData(baseurl) savepath = "豆瓣电影Top250.xls" #当前目录新建XLS，存储进去 # dbpath = "movie.db" #当前目录新建数据库，存储进去 # 3.保存数据 saveData(datalist,savepath) #2种存储方式可以只选择一种 # saveData2DB(datalist,dbpath) # 爬取网页 def getData(baseurl): datalist = [] #用来存储爬取的网页信息 for i in range(0, 10): # 调用获取页面信息的函数，10次 url = baseurl + str(i * 25) html = askURL(url) # 保存获取到的网页源码 # 2.逐一解析数据 soup = BeautifulSoup(html, "html.parser") for item in soup.find_all('div', class_="item"): # 查找符合要求的字符串 data = [] # 保存一部电影所有信息 item = str(item) link = re.findall(findLink, item)[0] # 通过正则表达式查找 data.append(link) imgSrc = re.findall(findImgSrc, item)[0] data.append(imgSrc) titles = re.findall(findTitle, item) if (len(titles) == 2): ctitle = titles[0] data.append(ctitle) otitle = titles[1].replace("/", "") #消除转义字符 data.append(otitle) else: data.append(titles[0]) data.append(' ') rating = re.findall(findRating, item)[0] data.append(rating) judgeNum = re.findall(findJudge, item)[0] data.append(judgeNum) inq = re.findall(findInq, item) if len(inq) != 0: inq = inq[0].replace("。", "") 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()) datalist.append(data) return datalist # 得到指定一个URL的网页内容 def askURL(url): head = { # 模拟浏览器头部信息，向豆瓣服务器发送消息 "User-Agent": "Mozilla / 5.0(Windows NT 10.0; Win64; x64) AppleWebKit / 537.36(KHTML, like Gecko) Chrome / 80.0.3987.122 Safari / 537.36" } # 用户代理，表示告诉豆瓣服务器，我们是什么类型的机器、浏览器（本质上是告诉浏览器，我们可以接收什么水平的文件内容） 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 # 保存数据到表格 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 = ("电影详情链接","图片链接","影片中文名","影片外国名","评分","评价数","概况","相关信息") for i in range(0,8): sheet.write(0,i,col[i]) #列名 for i in range(0,250): # print("第%d条" %(i+1)) #输出语句，用来测试 data = datalist[i] for j in range(0,8): sheet.write(i+1,j,data[j]) #数据 book.save(savepath) #保存 # def saveData2DB(datalist,dbpath): # 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( # info_link,pic_link,cname,ename,score,rated,instroduction,info) # values (%s)'''%",".join(data) # # print(sql) #输出查询语句，用来测试 # cur.execute(sql) # conn.commit() # cur.close # conn.close() # def init_db(dbpath): # sql = ''' # create table movie250( # id integer primary key autoincrement, # info_link text, # pic_link text, # cname varchar, # ename varchar , # score numeric, # rated numeric, # instroduction text, # info text # ) # # # ''' #创建数据表 # conn = sqlite3.connect(dbpath) # cursor = conn.cursor() # cursor.execute(sql) # conn.commit() # conn.close() # 保存数据到数据库 if __name__ == "__main__": # 当程序执行时 # 调用函数 main() # init_db("movietest.db") print("爬取完毕！")
注意pyton文件的编码：
