使用python爬虫实现网络股票信息爬取的demo_Python

使用python爬虫实现网络股票信息爬取的demo

2021-01-01 00:32OliverkingLi Python

下面小编就为大家分享一篇使用python爬虫实现网络股票信息爬取的demo，具有很好的参考价值，希望对大家有所帮助。一起跟随小编过来看看吧

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()

使用python爬虫实现网络股票信息爬取的demo

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()