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)# -*- coding: utf-8 -*-"""Created on Thu Apr 11 12:33:03 2019@author: Administrator"""import requestsfrom bs4 import BeautifulSoupfrom datetime import datetimeimport reimport pandas as pdimport timeimport randomimport sqlite3newsUrl = 'http://news.gzcc.cn/html/2005/xiaoyuanxinwen_0710/4.html'listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'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 newsClickdef 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 dtdef 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 newsDetaildef 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 newsListalist(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(57, 67): 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) print(newsdf)newsdf.to_csv(r'D:\py_file\gzcc.csv',encoding='utf_8_sig')with sqlite3.connect(r'D:\py_file\gzccnewsdb.sqlite') as db: newsdf.to_sql('gzccnewsdb',db)