爬取全部的校园新闻

时间：2019-04-11 23:23:16 阅读：156 评论：0 收藏：0 [点我收藏+]

标签：结果 bs4 mamicode tail sele download 格式 %s 保存

题目：

1.从新闻url获取新闻详情：字典,anews

2.从列表页的url获取新闻url：列表append(字典) alist

3.生成所页列表页的url并获取全部新闻：列表extend(列表) 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)

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 requests
from bs4 import BeautifulSoup
from datetime import datetime
import re
import pandas as pd
import time
import random
import sqlite3


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 = int(resClick.text.split(‘.html‘)[-1].lstrip("(‘").rstrip("‘);"))
    return newsClick


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):  # 从新闻url获取新闻详情： 字典,anews
    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


def alist(url):  # 从列表页的url获取新闻url：列表append(字典) alist
    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


newsUrl = ‘http://news.gzcc.cn/html/2005/xiaoyuanxinwen_0710/4.html‘
listUrl = ‘http://news.gzcc.cn/html/xiaoyuanxinwen/‘
alist(listUrl)
alist(newsUrl)
res = requests.get(‘http://news.gzcc.cn/html/xiaoyuanxinwen/‘)
res.encoding = ‘utf-8‘
soup = BeautifulSoup(res.text, ‘html.parser‘)

for news in soup.select(‘li‘):
    if len(news.select(‘.news-list-title‘)) > 0:
        newsUrl = news.select(‘a‘)[0][‘href‘]
        print(anews(newsUrl))

allnews = []
for i in range(97, 107):  # 爬取学号尾数开始的10个列表页
    listUrl = ‘http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html‘.format(i)
    allnews.extend(alist(listUrl))

print("allnewsLength={}".format(len(allnews)))
print(allnews)

res = requests.get(‘http://news.gzcc.cn/html/xiaoyuanxinwen/‘)
res.encoding = ‘utf-8‘
soup = BeautifulSoup(res.text, ‘html.parser‘)
for news in soup.select(‘li‘):
    if len(news.select(‘.news-list-title‘)) > 0:
        newsUrl = news.select(‘a‘)[0][‘href‘]
        print(anews(newsUrl))

s1 = pd.Series([100, 23, ‘bugingcode‘])
print(s1)
pd.Series(anews)
newsdf = pd.DataFrame(allnews)
for i in range(5):
    print(i)
    time.sleep(random.random() * 3)  # 设置爬取的时间间隔
    print(newsdf)

newsdf.to_csv(r‘D:\Download\gzcc.csv‘, encoding=‘utf_8_sig‘)  # 保存成csv格式，为避免乱码，设置编码格式为utf_8_sig

with sqlite3.connect(r‘D:\Download\gzccnewsdb2.sqlite‘) as db:  # 保存文件为sql
    newsdf.to_sql(‘gzccnewsdb2‘, db)