股票数据定向爬虫

作者: 汪小鱼 | 来源:发表于2021-10-14 07:34 被阅读0次

    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()
    

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