#-*- codeing = utf-8 -*-
import io
import sys
import urllib.request
import urllib.error
import urllib.parse
from bs4 import BeautifulSoup
import re
import sqlite3
import xlwt
#改变标准输出的默认编码
sys.stdout=io.TextIOWrapper(sys.stdout.buffer,encoding='utf8')
def main():
baseurl = 'https://movie.douban.com/top250?start='
datalist = getData(baseurl)
savepath = ".\\豆瓣电影top250.xls"
saveData(datalist,savepath)
findLink = re.compile(r'<a href="(.*?)">') # 生成创建正则表达式对象,表示规则
findTitle = re.compile(r'<span class="title">(.*)</span>') # 生成创建正则表达式对象,表示规则
findRating = re.compile(r'<span class="rating_num" property="v:average">(.*)</span>') # 生成创建正则表达式对象,表示规则
findJudge = re.compile(r'<span>(\d*)人评价</span>') # 生成创建正则表达式对象,表示规则
findBd = re.compile(r'<p class="">(.*?)</p>',re.S) # 生成创建正则表达式对象,表示规则
# 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"): # 查找符合要求的字符串组成列表
# print(item)
data = []
item = str(item)
link = re.findall(findLink,item)[0] # 通过正则表达式查找指定的字符串
title = re.findall(findTitle,item)[0]
rating = re.findall(findRating,item)[0]
judge = re.findall(findJudge,item)[0]
bd = re.findall(findBd,item)[0]
bd = re.sub("<br(\s+)?/>(\s+)?"," ",bd) # 去掉<br/>
bd = re.sub("/"," ",bd)
data.append(link)
data.append(title)
data.append(rating)
data.append(judge)
data.append(bd.strip()) # 去掉空格
datalist.append(data)
# print(datalist)
return datalist
def askURL(url):
# 用户代理,模拟浏览器头部信息
headers = {'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.80 Safari/537.36'}
req = urllib.request.Request(url,headers=headers)
html = ""
try:
response = urllib.request.urlopen(req)
html = response.read().decode('utf-8')
# print(html)
except urllib.error.URLError as e:
print(response.status)
if hasattr(e,"code"):
print(e.code)
if hasattr(e,"reason"):
print(e.reason)
return html
# 保存数据
def saveData(datalist,savepath):
book = xlwt.Workbook(encoding = "utf-8",style_compression=0)
sheet = book.add_sheet('豆瓣电影TOP250',cell_overwrite_ok = True)
col = ("电影详情链接","影片名称","评分","评分人数","详情")
for i in range(0,5):
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(0,5):
sheet.write(i+1,j,data[j])
book.save(savepath)
if __name__ == "__main__":
main()
python 的一个爬虫例子
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转载自blog.csdn.net/ljl86400/article/details/109733722
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