1.取出一个新闻列表页的全部新闻 包装成函数。
2.获取总的新闻篇数,算出新闻总页数。
3.获取全部新闻列表页的全部新闻详情。
4.找一个自己感兴趣的主题,进行数据爬取,并进行分词分析。不能与其它同学雷同。
1-3:
import requests
from bs4 import BeautifulSoup
from datetime import datetime
import re
listPageUrl = "http://news.gzcc.cn/html/xiaoyuanxinwen/"
page = 1
headers = {‘User-Agent‘: ‘User-Agent:Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/537.36 ‘
‘(KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36‘}
# 获取新闻点击次数
def getNewsId(url):
newsId = re.findall(r‘\_(.*).html‘, url)[0][-4:]
clickUrl = ‘http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80‘.format(newsId)
clickRes = requests.get(clickUrl,headers)
# 利用正则表达式获取新闻点击次数
clickCount = int(re.search("hits‘\).html\(‘(.*)‘\);", clickRes.text).group(1))
return clickCount
# 读取新闻细节
def getNewDetail(detail,title,description):
resDescript = requests.get(detail,headers)
resDescript.encoding = "utf-8"
soupDescript = BeautifulSoup(resDescript.text, ‘html.parser‘)
content = soupDescript.select(".show-content")[0].text # 正文
info = soupDescript.select(".show-info")[0].text # info相关内容
# 第一种方法 分离 message = info.split()
# 第二种方法 用正则表达式
print(‘标题‘ + ‘: ‘ + title)
print(‘概要‘ + ‘: ‘ + description)
print(‘链接‘ + ‘: ‘ + detail)
print(‘正文‘ + ‘ :‘ + content)
if(re.search("发布时间:(.*) \xa0\xa0 \xa0\xa0作者:", info) !="Null" ):
time = re.search("发布时间:(.*) \xa0\xa0 \xa0\xa0作者:", info).group(1)
if (re.search("作者:(.*)\xa0\xa0审核:", info) !="Null"):
author = re.search("作者:(.*)\xa0\xa0审核:", info).group(1)
print("作者:" + author)
if (re.search("审核:(.*)\xa0\xa0来源:", info) !="Null"):
right = re.search("审核:(.*)\xa0\xa0来源:", info).group(1)
if (re.search(‘来源:(.*)\xa0\xa0\xa0\xa0摄影:‘, info) != "null"):
resource = re.search(‘来源:(.*)\xa0\xa0\xa0\xa0摄影:‘, info)
if (re.search("摄影:(.*)\xa0\xa0\xa0\xa0点击:", info)!="Null"):
video = re.search("摄影:(.*)\xa0\xa0\xa0\xa0点击:", info)
count = getNewsId(detail)
dateTime = datetime.strptime(time, ‘%Y-%m-%d %H:%M:%S‘)
#获取新闻
def getListPage(listPageUrl,n):
resListPage = requests.get(listPageUrl,headers)
resListPage.encoding = "utf-8"
soup = BeautifulSoup(resListPage.text, ‘html.parser‘)
PageUrl = listPageUrl + str(1) + ".html"
if(n == 0):
global page
page=int(soup.select(".a1")[0].text[:-1])
print(page)
for s in soup.select("li"):
if len(s.select(".news-list-title"))>0:
title = s.select(".news-list-title")[0].text #新闻标题
description = s.select(".news-list-description")[0].text #新闻描述
detail = s.a.attrs["href"] #观看新闻细节
getNewDetail(detail,title,description)
getListPage(listPageUrl,0)
print(page)
for n in range(1,page):
PageUrl = listPageUrl + str(n) + ".html"
getListPage(PageUrl,n)
# for n in range(1,soup.select(".a1")[0].text[:-1]):
# PageUrl = listPageUrl+str(n)+"html"; getListPage(PageUrl)
‘‘‘
‘‘‘
4(爬慕课网):
import requests,jieba
from bs4 import BeautifulSoup
import re
#网站 慕课网
url = "https://www.imooc.com/course/list"
resDescript = requests.get(url)
resDescript.encoding = "utf-8"
soupDescript = BeautifulSoup(resDescript.text, ‘html.parser‘)
#全局变量
n =1
m =1
notelist = ""
#错误词汇
delete_word={‘使‘,‘D‘,‘b‘,‘e‘,‘f‘,‘t‘,‘C‘,‘的‘,‘o‘,‘,‘,‘a‘,‘A‘,‘n‘,‘S‘,‘y‘,‘i‘,‘了‘,‘。‘}
#分析数据的方向、类型、类别
for s in soupDescript.select(".course-nav-item.on"):
if n == 1 : print("方向:" + s.text)
elif n ==2:print("类型:" + s.text)
elif n ==3:print("类别:"+s.text)
n = n+1
#分析数据的受欢迎类型、难度
for q in soupDescript.select(".sort-item.active"):
if m == 1 : print("受欢迎类型:"+q.text)
else: print("难度:"+q.text)
m=m+1
#挖掘课程的相关信息
for content in soupDescript.select(".course-card-container"):
img = content.select(".course-banner.lazy")[0].attrs["src"][2:]
name = content.select(".course-card-name")[0].text
desc = content.select(".course-card-desc")[0].text
notelist += desc
notelist+=name
print("图片链接:"+img)
print("课程名字:"+name)
print("简介:"+desc)
print("\n")
NoteDic={}
for i in set(notelist): #计算次数
NoteDic[i]=notelist.count(i)
for i in delete_word: #删除非法词汇
if i in NoteDic:
del NoteDic[i]
#进行排序
sort_word = sorted(NoteDic.items(), key = lambda d:d[1], reverse = True) # 由大到小排序
#输出效果
print(sort_word)

原文:https://www.cnblogs.com/huangzemian123/p/9147852.html