使用python爬虫实现网络股票信息爬取的demo

yipeiwu_com6年前Python爬虫

实例如下所示:

import requests
from bs4 import BeautifulSoup
import traceback
import re
 
def getHTMLText(url):
 try:
  r = requests.get(url)
  r.raise_for_status()
  r.encoding = r.apparent_encoding
  return r.text
 except:
  return ""
 
def getStockList(lst, stockURL):
 html = getHTMLText(stockURL)
 soup = BeautifulSoup(html, 'html.parser') 
 a = soup.find_all('a')
 for i in a:
  try:
   href = i.attrs['href']
   lst.append(re.findall(r"[s][hz]\d{6}", href)[0])
  except:
   continue
 
def getStockInfo(lst, stockURL, fpath):
 for stock in lst:
  url = stockURL + stock + ".html"
  html = getHTMLText(url)
  try:
   if html=="":
    continue
   infoDict = {}
   soup = BeautifulSoup(html, 'html.parser')
   stockInfo = soup.find('div',attrs={'class':'stock-bets'})
 
   name = stockInfo.find_all(attrs={'class':'bets-name'})[0]
   infoDict.update({'股票名称': name.text.split()[0]})
    
   keyList = stockInfo.find_all('dt')
   valueList = stockInfo.find_all('dd')
   for i in range(len(keyList)):
    key = keyList[i].text
    val = valueList[i].text
    infoDict[key] = val
    
   with open(fpath, 'a', encoding='utf-8') as f:
    f.write( str(infoDict) + '\n' )
  except:
   traceback.print_exc()
   continue
 
def main():
 stock_list_url = 'http://quote.eastmoney.com/stocklist.html'
 stock_info_url = 'https://gupiao.baidu.com/stock/'
 output_file = 'D:/BaiduStockInfo.txt'
 slist=[]
 getStockList(slist, stock_list_url)
 getStockInfo(slist, stock_info_url, output_file)
 
main()

优化并且加入进度条显示

import requests
from bs4 import BeautifulSoup
import traceback
import re
def getHTMLText(url, code="utf-8"):
 try:
  r = requests.get(url)
  r.raise_for_status()
  r.encoding = code
  return r.text
 except:
  return ""
def getStockList(lst, stockURL):
 html = getHTMLText(stockURL, "GB2312")
 soup = BeautifulSoup(html, 'html.parser')
 a = soup.find_all('a')
 for i in a:
  try:
   href = i.attrs['href']
   lst.append(re.findall(r"[s][hz]\d{6}", href)[0])
  except:
   continue
def getStockInfo(lst, stockURL, fpath):
 count = 0
 for stock in lst:
  url = stockURL + stock + ".html"
  html = getHTMLText(url)
  try:
   if html == "":
    continue
   infoDict = {}
   soup = BeautifulSoup(html, 'html.parser')
   stockInfo = soup.find('div', attrs={'class': 'stock-bets'})
   name = stockInfo.find_all(attrs={'class': 'bets-name'})[0]
   infoDict.update({'股票名称': name.text.split()[0]})
   keyList = stockInfo.find_all('dt')
   valueList = stockInfo.find_all('dd')
   for i in range(len(keyList)):
    key = keyList[i].text
    val = valueList[i].text
    infoDict[key] = val
   with open(fpath, 'a', encoding='utf-8') as f:
    f.write(str(infoDict) + '\n')
    count = count + 1
    print("\r当前进度: {:.2f}%".format(count * 100 / len(lst)), end="")
  except:
   count = count + 1
   print("\r当前进度: {:.2f}%".format(count * 100 / len(lst)), end="")
   continue
def main():
 stock_list_url = 'http://quote.eastmoney.com/stocklist.html'
 stock_info_url = 'https://gupiao.baidu.com/stock/'
 output_file = 'BaiduStockInfo.txt'
 slist = []
 getStockList(slist, stock_list_url)
 getStockInfo(slist, stock_info_url, output_file)
main()

以上这篇使用python爬虫实现网络股票信息爬取的demo就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持【听图阁-专注于Python设计】。

相关文章

python3 BeautifulSoup模块使用字典的方法抓取a标签内的数据示例

本文实例讲述了python3 BeautifulSoup模块使用字典的方法抓取a标签内的数据。分享给大家供大家参考,具体如下: # -*- coding:utf-8 -*- #pyt...

选择Python写网络爬虫的优势和理由

选择Python写网络爬虫的优势和理由

什么是网络爬虫? 网络爬虫是一个自动提取网页的程序,它为搜索引擎从万维网上下载网页,是搜索引擎的重要组成。传统爬虫从一个或若干初始网页的URL开始,获得初始网页上的URL,在抓取网页的过...

使用Python多线程爬虫爬取电影天堂资源

使用Python多线程爬虫爬取电影天堂资源

最近花些时间学习了一下Python,并写了一个多线程的爬虫程序来获取电影天堂上资源的迅雷下载地址,代码已经上传到GitHub上了,需要的同学可以自行下载。刚开始学习python希望可以获...

python 爬虫百度地图的信息界面的实现方法

python 爬虫百度地图的信息界面的实现方法

在爬虫百度地图的期间,就为它做了一个界面,运用的是PyQt5。 得到意想不到的结果: # -*- coding: utf-8 -*- # Form implementation...

利用Python爬虫给孩子起个好名字

利用Python爬虫给孩子起个好名字

前言 相信每位家长都有所体会,因为要在孩子出生后两周内起个名字(需要办理出生证明了),估计很多人都像我一样,刚开始是很慌乱的,虽然感觉汉字非常的多随便找个字做名字都行,后来才发现真不是随...