获取全部校园新闻
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。
1 import requests 2 from bs4 import BeautifulSoup 3 from datetime import datetime 4 import re 5 # res = requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen/') 6 # res.encoding = 'utf-8' 7 # soup = BeautifulSoup(res.text, 'html.parser') 8 9 10 # 获取新闻点击次数 11 def getNewsId(url): 12 #使用正则表达式获得新闻编号 13 newsId = re.findall(r'\_(.*).html', url)[0][-4:] 14 #生成点击次数的Request URL 15 clickUrl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsId) 16 clickRes = requests.get(clickUrl) 17 # 利用正则表达式获取新闻点击次数 18 clickCount = int(re.search("hits'\).html\('(.*)'\);", clickRes.text).group(1)) 19 return clickCount 20 21 22 23 def getNewDetail(newsurl): 24 # 读取新闻详情 25 resDescript = requests.get(newsurl) 26 resDescript.encoding = "utf-8" 27 soupDescript = BeautifulSoup(resDescript.text, 'html.parser') 28 title = soupDescript.select('.show-title')[0].text 29 info = soupDescript.select('.show-info')[0].text 30 if (info.find('作者') > 0): 31 author = re.search('作者：((.{2,20}\s|.{2,20}、|.{2,20}，){1,5})', info).group(1) 32 else: 33 author = 'none' 34 if (info.find('审核') > 0): 35 right = re.search('审核：((.{2,20}\s|.{2,20}、|.{2,20}，){1,5})', info).group(1) 36 else: 37 right = 'none' 38 if (info.find('来源') > 0): 39 source = re.search('来源：((.{2,50}\s|.{2,50}、|.{2,50}，){1,5})', info).group(1) 40 else: 41 source = 'none' 42 if (info.find('摄影') > 0): 43 video = re.search('摄影：((.{2,50}\s|.{2,50}、|.{2,50}，){1,5})', info).group(1) 44 else: 45 video = 'none' 46 # author = re.search('作者：((.{2,20}\s|.{2,20}、|.{2,20}，){1,5})', info).group(1) 47 # right = re.search('审核：(.*)\xa0\xa0来源：', info).group(1) 48 # source = re.search('来源：(.*)\xa0\xa0\xa0\xa0摄影：', info).group(1) 49 # video = re.search('摄影：(.*)\xa0\xa0\xa0\xa0点击：', info).group(1) 50 dt = datetime.strptime(info.lstrip('发布时间:')[0:19],'%Y-%m-%d %H:%M:%S') 51 content = soupDescript.select('.show-content')[0].text.strip() 52 click = getNewsId(newsurl) 53 # print(click,title,newsurl,source,dt) 54 print('发布时间：{0}\n作者：{1}\n审核：{2}\n来源：{3}\n摄影：{4}\n点击次数：{5}'.format(dt, author, right, source, video, click)) 55 56 def getListPage(listPageUrl): 57 res1 = requests.get(listPageUrl) 58 res1.encoding = 'utf-8' 59 soup = BeautifulSoup(res1.text,'html.parser') 60 for news in soup.select('li'): 61 if len(news.select('.news-list-title'))>0: 62 a = news.select('a')[0].attrs['href'] 63 getNewDetail(a) 64 65 resn = requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen/') 66 resn.encoding = 'utf-8' 67 soupn = BeautifulSoup(resn.text,'html.parser') 68 #新闻总篇数 69 listcount = int(soupn.select('.a1')[0].text.rstrip('条')) 70 print(listcount) 71 #新闻总页数 72 n = int(soupn.select('.a1')[0].text.rstrip('条'))//10+1 73 74 #首页 75 # getListPage('http://news.gzcc.cn/html/xiaoyuanxinwen/') 76 77 #最后一页 78 for i in range(n,n+1): 79 pageUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) 80 getListPage(pageUrl)
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。（爬取腾讯体育-NBA）
1 import requests 2 from bs4 import BeautifulSoup 3 import re 4 import jieba 5 6 7 def getnewsdetail(newsurl): 8 resDescript = requests.get(newsurl) 9 resDescript.encoding = "utf-8" 10 soupDescript = BeautifulSoup(resDescript.text, 'html.parser') 11 content = soupDescript.select('.text')[0].text.strip() 12 words = jieba.lcut(content) 13 wcdict = {} 14 for i in set(words): 15 wcdict[i] = words.count(i) 16 delete = {'你', '我', '他', '都', '已经', '着', '不', '她', '没有', '和', '他们', '中', '下', '什么', '一个', 17 '道', '的', '们', '所', '在', '来', '有', '过', '从', '而', '才', '要', '因', '为', '地', '将', '上', '共', '自', '是', 18 '令', '但', '被', '就', '也', '说', '语', '呀', '啊', '个', '人', '里', '罢', '内', '该', '与', '会', '对', '去', 19 '出', '动', '却', '超', '已', '只', '放', '这', '比', '还', '则', '见', '到', '最', '话', '加', '更', '并', '把', 20 '儿', '大', '小', '那', ' ', '了', '-', '\n', '，', '。', '？', '！', '“', '”', '：', '；', '、', '.', '‘', '’'} 21 for i in delete: 22 if i in wcdict: 23 del wcdict[i] 24 sort_word = sorted(wcdict.items(), key=lambda d: d[1], reverse=True) # 排序 25 for i in range(20): # 输出 26 print(sort_word[i]) 27 28 29 def getnewslist(newsurl): 30 res = requests.get(newsurl) 31 res.encoding = 'gbk' 32 soup = BeautifulSoup(res.text, 'html.parser') 33 for newsList in soup.select('.list01')[0].select('li'): 34 title = newsList.select('a')[0].text 35 newsurl = newsList.select('a')[0]['href'] 36 print('\n标题：{0}\n新闻链接:{1}\n'.format(title, newsurl)) 37 getnewsdetail(newsurl) 38 39 40 url = "http://sports.qq.com/l/basket/original/qqinterview/list20150821155646.htm" 41 resn = requests.get(url) 42 resn.encoding = 'utf-8' 43 soupn = BeautifulSoup(resn.text,'html.parser') 44 getnewslist(url) 45 46 for i in range(1, 30): 47 if (i == 1): 48 getnewslist(url) 49 else: 50 newsurl = "http://sports.qq.com/l/basket/original/qqinterview/list20150821155646_{}.htm".format(i) 51 getnewslist(newsurl)
