使用python爬虫实现网络股票信息爬取的demo

实例如下所示：importrequestsfrombs4importBeautifulSoupimporttracebackimportredefgetHTMLText(url):try:r=requests.g

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脚本之家。

python 爬虫 股票信息 爬取