1.从新闻url获取新闻详情： 字典,anews
#点击次数 def click(url): id = re.findall(‘(\d{1,5})‘, url)[-1] clickUrl = ‘http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80‘.format(id) resClick = requests.get(clickUrl) newsClick = resClick.text.split(‘.html‘)[-1].lstrip("(‘").rstrip("‘);") return newsClick #发布时间 def newsdt(showinfo): newsDate = showinfo.split()[0].split(‘:‘)[1] newsTime = showinfo.split()[1] newsDT = newsDate + ‘ ‘ + newsTime dt = datetime.strptime(newsDT, ‘%Y-%m-%d %H:%M:%S‘) return dt def anews(url): newsDetail = {} res = requests.get(url) res.encoding = ‘utf-8‘ soup = BeautifulSoup(res.text,‘html.parser‘) newsDetail[‘newsTitle‘] = soup.select(‘.show-title‘)[0].text showinfo = soup.select(‘.show-info‘)[0].text newsDetail[‘newsDT‘] = newsdt(showinfo) newsDetail[‘newsClick‘] = click(newsUrl) return newsDetail newsUrl = ‘http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html‘ print(anews(newsUrl))
2.从列表页的url获取新闻url：列表append(字典) alist
def alist(url): res=requests.get(listUrl) res.encoding=‘utf-8‘ soup = BeautifulSoup(res.text,‘html.parser‘) newsList=[] for news in soup.select(‘li‘): if len(news.select(‘.news-list-title‘))>0: newsUrl=news.select(‘a‘)[0][‘href‘] newsDesc=news.select(‘.news-list-description‘)[0].text newsDict=anews(newsUrl) newsDict[‘description‘]=newsDesc newsList.append(newsDict) return newsList listUrl=‘http://news.gzcc.cn/html/xiaoyuanxinwen/‘ alist(listUrl)
3.生成所页列表页的url并获取全部新闻 ：列表extend(列表) allnews
allnews=[] for i in range(102,112): listUrl=‘http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html‘.format(i) allnews.extend(alist(listUrl)) len(allnews)
*每个同学爬学号尾数开始的10个列表页
4.设置合理的爬取间隔
import time
import random
time.sleep(random.random()*3)
import time import random #time.sleep(random.random()*3) for i in range(5): print(i) time.sleep(random.random()*3) print(allnews)
5.用pandas做简单的数据处理并保存
保存到csv或excel文件
newsdf.to_csv(r‘F:\duym\爬虫\gzccnews.csv‘)
保存到数据库
import sqlite3
with sqlite3.connect(‘gzccnewsdb.sqlite‘) as db:
newsdf.to_sql(‘gzccnewsdb‘,db)
import pandas as pd newsdf = pd.DataFrame(allnews) newsdf.to_csv(r‘news.csv‘,encoding = ‘utf-8‘) import sqlite3 with sqlite3.connect(‘newsdb.sqlite‘) as db: newsdf.to_sql(‘newsdb‘,db)
原文：https://www.cnblogs.com/wan-y/p/10698841.html