爬取全部校园新闻

0.从新闻url获取点击次数，并整理成函数

newsUrl
newsId(re.search())
clickUrl(str.format())
requests.get(clickUrl)
re.search()/.split()
str.lstrip(),str.rstrip()
int
整理成函数
获取新闻发布时间及类型转换也整理成函数

代码展示：

#获取新闻详情
def annews(url):
    news={}
    res=requests.get(url)
    res.encoding='utf-8'
    soup=bs4.BeautifulSoup(res.text,'html.parser')
    news['title']=soup.select(".show-title")[0].text
    news['date']=getTime(soup.select(".show-info")[0])
    news['content']=soup.select("#content")[0].text.strip()
    news['count']=getCount(url)
    return news
    
#获取点击数
def getCount(url):
    newsId = re.search('/(d+).html', url).groups(0)[0]
    countHtml=requests.get("http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80".format(newsId))
    count=int(re.findall("d+",countHtml.text.split(".html")[-1])[0])
    return count
    
#获取时间
def getTime(str):
    infos=str.text.split()
    datestr=infos[0]+' '+infos[1]
    return datetime.strptime(datestr,'发布时间:%Y-%m-%d %H:%M:%S')
    
#获取指定新闻页范围的url
def getNsUrl(url,start,end):
    urls=[]
    for i in range(start,end):
        urls.append("{}/{}.html".format(url,i))
    return urls

#获取新闻页的新闻url
def getNewsUrl(url):
    newsUrlList=[]
    res=requests.get(url)
    res.encoding='utf-8'
    soup=bs4.BeautifulSoup(res.text,'html.parser')
    alist=soup.select(".news-list a")
    for i in alist:
        newsUrlList.append(i['href'])
    return newsUrlList


urls=getNsUrl('http://news.gzcc.cn/html/xiaoyuanxinwen',66,76)
newsList=[]
for page in urls:
    for url in getNewsUrl(page):
        time.sleep(1)
        newsList.append(annews(url))
df=pd.DataFrame(newsList)
df.to_csv("news.csv",encoding='utf-8')

运行截图：