爬虫——豆瓣前二百
作者:互联网
#爬虫 # -*- 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 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 # 2.保存数据 saveData(datalist,savepath) # 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 if __name__ == "__main__": # 当程序执行时 # 调用函数 main() print("爬取完毕!")
标签:item,datalist,爬虫,re,豆瓣,二百,data,findall,append 来源: https://www.cnblogs.com/lijiashisangongzi/p/15655457.html