标签：mode attr requests navicat oca script text 分享 bubuko
1. 将新闻的正文内容保存到文本文件。
def writeDetailNews(content): f = open(‘gzccnews.txt‘,"a",encoding="utf-8") f.write(content) f.close()
2. 将新闻数据结构化为字典的列表:
import requests from bs4 import BeautifulSoup from datetime import datetime import re import pandas import openpyxl import sqlite3 url = "http://news.gzcc.cn/html/xiaoyuanxinwen/" res = requests.get(url); res.encoding = "utf-8" soup = BeautifulSoup(res.text,"html.parser"); def writeDetailNews(content): f = open(‘gzccnews.txt‘,"a",encoding="utf-8") f.write(content) f.close() def getClickCount(newUrl): newsId = re.findall("\_(.*).html",newUrl)[0].split("/")[-1]; res = requests.get("http://oa.gzcc.cn/api.php?op=count&id= {}&modelid=80".format(newsId)) return int(res.text.split(".html")[-1].lstrip("(‘").rsplit("‘);")[0]) #获取新闻详情 def getNewDetail(newsDetailUrl): detail_res = requests.get(newsDetailUrl) detail_res.encoding = "utf-8" detail_soup = BeautifulSoup(detail_res.text, "html.parser") news={} news[‘title‘] = detail_soup.select(".show-title")[0].text info = detail_soup.select(".show-info")[0].text news[‘date_time‘] = datetime.strptime(info.lstrip(‘发布时间:‘)[: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‘] = detail_soup.select("#content")[0].text writeDetailNews(news[‘content‘]) news[‘click‘] = getClickCount(newsDetailUrl) return news # print(news) # 获取总页数 def getPageN(url): res = requests.get(url) res.encoding = ‘utf-8‘ soup = BeautifulSoup(res.text, ‘html.parser‘) return int(soup.select(".a1")[0].text.rstrip("条"))//10+1 # 获取新闻一页的所有信息 def getListPage(url): newsList = [] for news in soup.select("li"): if len(news.select(".news-list-title"))>0: #排除为空的li # time = news.select(".news-list-info")[0].contents[0].text # title = news.select(".news-list-title")[0].text # description = news.select(".news-list-description")[0].text detail_url = news.select(‘a‘)[0].attrs[‘href‘] newsList.append(getNewDetail(detail_url)) return newsList newsTotal = [] totalPageNum = getPageN(url) firstPageUrl = "http://news.gzcc.cn/html/xiaoyuanxinwen/" newsTotal.extend(getListPage(firstPageUrl)) for num in range(totalPageNum,totalPageNum+1): listpageurl="http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html".format(num) getListPage(listpageurl) print(newsTotal)
3. 安装pandas，用pandas.DataFrame(newstotal)，创建一个DataFrame对象df.
import pandas df = pandas.DataFrame(newstotal)
4. 通过df将提取的数据保存到csv或excel 文件。
df.to_excel(‘cwh.xlsx‘)
5. 用pandas提供的函数和方法进行数据分析：
print(df[[‘clickCount‘,‘title‘,‘source‘]].head(6))
print(df[(df[‘clickCount‘]>3000)&(df[‘source‘]==‘学校综合办‘)])
print(df[(df[‘source‘]==‘国际学院‘)|(df[‘source‘]==‘学生工作处‘)])
df1 = df.set_index(‘time‘) print(df1[‘2018-03‘])
6. 保存到sqlite3数据库
import sqlite3
with sqlite3.connect(‘gzccnewsdb.sqlite‘) as db:
df3.to_sql(‘gzccnews05‘,con = db, if_exists=‘replace‘)
7. 从sqlite3读数据
with sqlite3.connect(‘gzccnewsdb.sqlite‘) as db:
df2 = pandas.read_sql_query(‘SELECT * FROM gzccnews05‘,con=db)
print(df2)
with sqlite3.connect(‘cwhdb.sqlite‘) as db: df.to_sql(‘cwh‘,con=db,if_exists=‘replace‘) with sqlite3.connect(‘cwhdb.sqlite‘) as db: df10 = pandas.read_sql_query(‘select * from cwh‘,con=db) print(df10)
8. df保存到mysql数据库
安装SQLALchemy
安装PyMySQL
MySQL里创建数据库：create database gzccnews charset utf8;
import pymysql
from sqlalchemy import create_engine
conn = create_engine(‘mysql+pymysql://root:root@localhost:3306/gzccnews?charset=utf8‘)
pandas.io.sql.to_sql(df, ‘gzccnews‘, con=conn, if_exists=‘replace‘)
MySQL里查看已保存了数据。（通过MySQL Client或Navicate。）
import pymysql from sqlalchemy import create_engine conn =create_engine(‘mysql+pymysql://root:mysql@localhost:3306/cwh?charset=utf8‘) pandas.io.sql.to_sql(df,‘gzccnews‘,con=conn,if_exists=‘replace‘)
标签：mode attr requests navicat oca script text 分享 bubuko
原文地址：https://www.cnblogs.com/diansaonian/p/8877306.html
