数据结构化与保存
import requests from bs4 import BeautifulSoup from datetime import datetime import re import pandas import sqlite3 url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/' res = requests.get(url) res.encoding = 'utf-8' soup = BeautifulSoup(res.text, 'html.parser') def getclick(url): m=re.search(r'_(.*).html',url) newsid=m.group(1)[5:] clickurl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsid) resc=requests.get(clickurl).text r=re.search(r'hits(.*)',resc).group(1) click=r.lstrip("').html('").rstrip("');") return int(click) print(getclick('http://news.gzcc.cn/html/2017/xiaoyuanxinwen_1017/8338.html'))
import requests from bs4 import BeautifulSoup from datetime import datetime import re import pandas import sqlite3 url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/' res = requests.get(url) res.encoding = 'utf-8' soup = BeautifulSoup(res.text, 'html.parser') def getclick(url): m=re.search(r'_(.*).html',url) newsid=m.group(1)[5:] clickurl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsid) resc=requests.get(clickurl).text r=re.search(r'hits(.*)',resc).group(1) click=r.lstrip("').html('").rstrip("');") return int(click) def getdetail(url): resd=requests.get(url) resd.encoding='utf-8' soupd=BeautifulSoup(resd.text,'html.parser') news={} news['url']=url news['title']=soupd.select('.show-title')[0].text info=soupd.select(".show-info")[0].text news['dt']=datetime.strptime(info.lstrip('发布时间:')[0:19],'%Y-%m-%d %H:%M:%S') news['source']=re.search('来源:(.*)点击',info).group(1).strip() #news['content']=soupd.select('.show-content')[0].text.strip() news['click']=getclick(url) return(news) print(getdetail('http://news.gzcc.cn/html/2017/xiaoyuanxinwen_1017/8338.html'))
import requests from bs4 import BeautifulSoup from datetime import datetime import re import pandas import sqlite3 url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/' res = requests.get(url) res.encoding = 'utf-8' soup = BeautifulSoup(res.text, 'html.parser') def getclick(url): m=re.search(r'_(.*).html',url) newsid=m.group(1)[5:] clickurl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsid) resc=requests.get(clickurl).text r=re.search(r'hits(.*)',resc).group(1) click=r.lstrip("').html('").rstrip("');") return int(click) def getdetail(url): resd=requests.get(url) resd.encoding='utf-8' soupd=BeautifulSoup(resd.text,'html.parser') news={} news['url']=url news['title']=soupd.select('.show-title')[0].text info=soupd.select(".show-info")[0].text news['dt']=datetime.strptime(info.lstrip('发布时间:')[0:19],'%Y-%m-%d %H:%M:%S') news['source']=re.search('来源:(.*)点击',info).group(1).strip() #news['content']=soupd.select('.show-content')[0].text.strip() news['click']=getclick(url) return(news) def onepage(pageurl): res=requests.get(pageurl) res.encoding='utf-8' soup=BeautifulSoup(res.text,'html.parser') newsls=[] for news in soup.select('li'): if len(news.select('.news-list-title'))>0: newsls.append(getdetail(news.select('a')[0]['href'])) return (newsls) print(onepage('http://news.gzcc.cn/html/xiaoyuanxinwen/'))
import requests from bs4 import BeautifulSoup from datetime import datetime import re import pandas import sqlite3 url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/' res = requests.get(url) res.encoding = 'utf-8' soup = BeautifulSoup(res.text, 'html.parser') def getclick(url): m=re.search(r'_(.*).html',url) newsid=m.group(1)[5:] clickurl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsid) resc=requests.get(clickurl).text r=re.search(r'hits(.*)',resc).group(1) click=r.lstrip("').html('").rstrip("');") return int(click) def getdetail(url): resd=requests.get(url) resd.encoding='utf-8' soupd=BeautifulSoup(resd.text,'html.parser') news={} news['url']=url news['title']=soupd.select('.show-title')[0].text info=soupd.select(".show-info")[0].text news['dt']=datetime.strptime(info.lstrip('发布时间:')[0:19],'%Y-%m-%d %H:%M:%S') news['source']=re.search('来源:(.*)点击',info).group(1).strip() #news['content']=soupd.select('.show-content')[0].text.strip() news['click']=getclick(url) return(news) def onepage(pageurl): res=requests.get(pageurl) res.encoding='utf-8' soup=BeautifulSoup(res.text,'html.parser') newsls=[] for news in soup.select('li'): if len(news.select('.news-list-title'))>0: newsls.append(getdetail(news.select('a')[0]['href'])) return (newsls) newstotal=[] gzccurl='http://news.gzcc.cn/html/xiaoyuanxinwen/' newstotal.extend(onepage(gzccurl)) res=requests.get(gzccurl) res.encoding='utf-8' soup=BeautifulSoup(res.text,'html.parser') n=int(soup.select('.a1')[0].text.rstrip('条')) pages=n//10+1 for i in range(2,3): listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) newstotal.extend(onepage(listurl)) #print(len(newstotal)) #20 df = pandas.DataFrame(newstotal) print(df.head())
import requests from bs4 import BeautifulSoup from datetime import datetime import re import pandas import sqlite3 url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/' res = requests.get(url) res.encoding = 'utf-8' soup = BeautifulSoup(res.text, 'html.parser') def getclick(url): m=re.search(r'_(.*).html',url) newsid=m.group(1)[5:] clickurl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsid) resc=requests.get(clickurl).text r=re.search(r'hits(.*)',resc).group(1) click=r.lstrip("').html('").rstrip("');") return int(click) def getdetail(url): resd=requests.get(url) resd.encoding='utf-8' soupd=BeautifulSoup(resd.text,'html.parser') news={} news['url']=url news['title']=soupd.select('.show-title')[0].text info=soupd.select(".show-info")[0].text news['dt']=datetime.strptime(info.lstrip('发布时间:')[0:19],'%Y-%m-%d %H:%M:%S') news['source']=re.search('来源:(.*)点击',info).group(1).strip() #news['content']=soupd.select('.show-content')[0].text.strip() news['click']=getclick(url) return(news) def onepage(pageurl): res=requests.get(pageurl) res.encoding='utf-8' soup=BeautifulSoup(res.text,'html.parser') newsls=[] for news in soup.select('li'): if len(news.select('.news-list-title'))>0: newsls.append(getdetail(news.select('a')[0]['href'])) return (newsls) newstotal=[] gzccurl='http://news.gzcc.cn/html/xiaoyuanxinwen/' newstotal.extend(onepage(gzccurl)) res=requests.get(gzccurl) res.encoding='utf-8' soup=BeautifulSoup(res.text,'html.parser') n=int(soup.select('.a1')[0].text.rstrip('条')) pages=n//10+1 for i in range(2,3): listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) newstotal.extend(onepage(listurl)) #print(len(newstotal)) #20 df = pandas.DataFrame(newstotal) print(df.head()) print(df['title']) print(df[df.click>5000]) df.to_excel('gzccnews.xlsx')