原创 Python爬虫学习笔记(8)——股票数据爬虫

2017-11-11 17:01 2246 17 17 分类: 软件与OS

(一)

功能描述:

目标:获取上交所和深交所所有股票的名称和交易信息;

输出:保存到文件

技术路线:requests-bs4-re


候选数据网站的选择

网站选取原则:

  • 股票信息静态存在于HTML页面中,非js代码生成,没有robots协议限制;


程序的结构设计

步骤1:从东方财富网获取股票列表;

步骤2:根据股票列表逐个到百度股票获取个股信息;

步骤3:将结果存储到文件;


(二)代码

import requests
from bs4 import BeautifulSoup
import traceback
import re

def getHTMLText(url,code='utf-8'):
try:
r = requests.get(url,timeout=30)
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"[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.text
val = valueList.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:
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 = "H://BaiduStockInfo.txt"

slist=[]
getStockList(slist,stock_list_url)
getStockInfo(slist,stock_info_url,output_file)

main()  




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