目标网站：豆瓣电影
目标网址：https://movie.douban.com/subject/30166972/comments?status=P
目标数据：（1）评价 （2）日期 （3）评论 （4）评论点赞
任务要求：
（1）使用urllib或requests库实现该网站网页源代码的获取，并将源代码进行保存；
（2）自主选择re、bs4、lxml中的一种解析方法对保存的的源代码读取并进行解析，成功找到目标数据所在的特定标签，进行网页结构的解析；
（3）定义函数，将获取的目标数据保存到csv文件中。
（4）使用框架式结构，通过参数传递实现整个特定数据的爬取。
数据爬取
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链接端口分析，确定爬取页数
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获取页面
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分析页面，爬取信息
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保存数据
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代码整合
import requests
from requests.exceptions import RequestException
from bs4 import BeautifulSoup
import bs4
import csv
import re
import time
import randomdef getHTMLText(url):headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.62 Safari/537.36'}try:r = requests.get(url, headers=headers)r.raise_for_status()r.encoding = r.apparent_encodingreturn r.textexcept RequestException as e:print('error', e)def fillUnivList(all_info,url):soup = BeautifulSoup(url, 'html.parser')for i in range(20):commentlist = soup.find_all('span',class_ = 'short')votes = soup.find_all('span',class_ = "votes")time = soup.find_all('span',class_ = "comment-time")score = soup.find_all('span', class_ = re.compile('(.*) rating'))m = '\d{4}-\d{2}-\d{2}'try:match = re.compile(m).match(score[i]['title'])except IndexError:breakif match is not None:time = scorescore = ["null"]else:passall_dict = { }all_dict["commentlist"] = commentlist[i].textall_dict["votes"] = votes[i].textall_dict["time"] = time[i].textall_dict["score"] = score[i]['title']all_info.append(all_dict)return all_infodef printHtml_text(data):for ii in data:value_list = list(ii.values())with open (r'D:\qq.txt','a',encoding ='utf-8') as f:f.write(str(value_list)+'\n')def printHtml_csv(data):with open('D:\data.csv','w',encoding = 'utf-8-sig',newline = '') as csvfile:fieldnames=['评价','日期','评论','评论点赞']writer=csv.DictWriter(csvfile,fieldnames=fieldnames)writer.writeheader()for a in data:i = list(a.values())writer.writerow({'评价':i[3],'日期':i[2],'评论':i[0],'评论点赞':i[1]})def main():all_info = []for i in range(0,200,20):urls = ['https://movie.douban.com/subject/30166972/comments?start='+str(i)+'&limit=20&sort=new_score&status=P']for url in urls:
# print(i)time.sleep(round(random.uniform(3, 5), 2))html = getHTMLText(url)data = fillUnivList(all_info,html)printHtml_text(data)printHtml_csv(data)main()- 数据展示
数据分析
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制作词云
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效果图
数据已经爬取出来了，可以使用Bar, Pie做一些效果图，自行发挥就好哈哈哈
