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最新推荐文章于 2025-04-22 17:00:16 发布

转载最新推荐文章于 2025-04-22 17:00:16 发布 · 48 阅读

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CC 4.0 BY-SA版权

原文链接：http://www.cnblogs.com/qq412158152/p/8866841.html

本文介绍了一个Python脚本，该脚本用于爬取广州城建职业学院网站上的新闻文章，包括每篇新闻的标题、发布日期、来源、内容及点击数，并将数据保存为Excel文件和SQLite数据库。

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import re
import requests
from bs4 import BeautifulSoup
from datetime import datetime

def getClickCount(r):
    s = re.findall('\_(.*).html', r)[0].split('/')[-1]
    res = requests.get('http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(s))
    return  int(res.text.split('.html')[-1].lstrip("('").rstrip("');"))


def getNewsDetail(newsUrl):   #一篇新闻的全部内容
    resd = requests.get(newsUrl)
    resd.encoding = 'utf-8'
    soupd = BeautifulSoup(resd.text, 'html.parser')     #打开新闻详情并解析

    news = {}
    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')
    if  info.find('来源：')>0:
        news['source']=info[info.find('来源：'):].split()[0].lstrip('来源：')
    else:
        news['source']='none'
    news['content'] = soupd.select('.show-content')[0].text.strip()
    news['click']=getClickCount(newsUrl)
    news['newsUrl'] = newsUrl
    return(news)

def getListPage(pageUrl):   #9. 取出一个新闻列表页的全部新闻 包装成函数def getListPage(pageUrl)
    res = requests.get(pageUrl)
    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].attrs['href']
            newslist.append(getNewsDetail(newsUrl))
    return(newslist)


def getPageN():
    res = requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen/')
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')
    pagenumber=int(soup.select('.a1')[0].text.rstrip('条'))
    page = pagenumber//10+1
    return page

newstotal = []
firstPageUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
newstotal.extend(getListPage(firstPageUrl))
n=getPageN()
# f = open('gzccnews.txt','a',encoding='utf-8')
for i in range(n,n+1):
    listPageUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    newstotal.extend(getListPage(listPageUrl))

for news in newstotal:
    print(news)

import pandas
df = pandas.DataFrame(newstotal)
df.to_excel('gzccnews.xlsx')

# print(df.tail(3))
# print(df[2:5])
# print(df['title'])
# print(df[(df['click']>2000)&(df['click']<5000)])
# sou = ['国际学院','学生工作处']
# print(df[df['source'].isin(sou)])

# print(df.index)
# df[df['dt']>'2018-04-12 14:01:24']
# df.index
# print(df[1:5])

# df1 = df.set_index('dt')
# print(df1.index)
#
# print(df1['2018-04-12 17:27:50':'2018-04-04 09:35:00'])
# print(df1['2018-04'])

import sqlite3
with sqlite3.connect('gzccnewsdb.sqlite') as db:
    df.to_sql('gzccnews',con= db,if_exists='replace')

with sqlite3.connect('gzccnewsdb.sqlite') as db:
    df2 = pandas.read_sql_query('SELECT * FROM gzccnews',con=db)

print(df2)

import pymysql
from sqlalchemy import create_engine
conn = create_engine('mysql+pymysql://root:@localhost:3306/gz?charset=utf8')
pandas.io.sql.to_sql(df2,'news1',con=conn,if_exists='replace')



# f.close()

转载于:https://www.cnblogs.com/qq412158152/p/8866841.html