数据结构化与保存

Posted 2020-10-11 09陈雨雨

1.结构化：

• 单条新闻的详情字典：news
• 一个列表页所有单条新闻汇总列表：newsls.append(news)
• 所有列表页的所有新闻汇总列表：newstotal.extend(newsls)

2.转换成pandas的数据结构DataFrame

3.从DataFrame保存到excel

4.从DataFrame保存到sqlite3数据库

import requests
import re
import pandas
from bs4 import BeautifulSoup
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(newurl):
    id = re.search(\'_(.*).html\', newurl).group(1).split(\'/\')[1]
    clickurl = \'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80\'.format(id)
    click = int(requests.get(clickurl).text.split(".")[-1].lstrip("html(\'").rstrip("\');"))
    return click


def getdetail(listurl):
    res = requests.get(listurl)
    res.encoding = \'utf-8\'
    soup = BeautifulSoup(res.text, \'html.parser\')
    news={}
    news[\'url\']=url
    news[\'title\']=soup.select(\'.show-title\')[0].text
    info = soup.select(\'.show-info\')[0].text
    #news[\'dt\']=datetime.strptime(info.lstrip(\'发布时间\')[0:19],\'%Y-%m-%d %H:%M:\')
    #news[\'source\']=re.search(\'来源:(.*)点击\',info).group(1).strip()
    news[\'content\']=soup.select(\'.show-content\')[0].text.strip()
    news[\'click\']=getclick(listurl)
    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=[]
for i in range(2,3):
    listurl=\'http://news.gzcc.cn/html/xiaoyuanxinwen/\'
    newstotal.extend(onepage(listurl))
df =pandas.DataFrame(newstotal)
df.to_excel(\'gzccnews.xlsx\')

with sqlite3.connect(\'gzccnews_db.sqlite\') as db:
   df.to_sql(\'news_table\',con = db)