股票数据定向爬虫
2021-10-14 本文已影响0人
汪小鱼
项目基本信息
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:保存到文件中
候选数据网站的选择:
新浪股票:http://finance.sina.com.cn/stock/
百度股票:https://gupiao.baidu.com/stock/
选取原则:股票信息静态存在 HTML 页面中,非 js 代码生成没有 Robots 协议限制
选取方法:浏览器 F12,源代码查看等
选取心态:不要纠结于某个网站,多找信息源尝试
数据网站的确定
获取股票列表
东方财富网:http://quote.eastmoney.com/stocklist.html
获取个股信息
百度股票:https://gupiao.baiducom/stock/
单个股票:https://gupiao.baiducom/stock/sz002439.html
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
网页结构特点
a) 个股信息采用键值对维护
b) 东方财富网:http://quote.eastmoney.com/stocklist.html
实例编写
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()
实例优化
如何提高用户体验?
- 速度提高:编码识别的优化
r.apparent_encoding 需要分析文本,运行较慢,可辅助人工分析
- 体验提高:增加动态进度显示
优化后的代码:
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 = 'D:/BaiduStockInfo.txt'
slist=[]
getStockList(slist, stock_list_url)
getStockInfo(slist, stock_info_url, output_file)
main()