pythonでSBIからスクレイピングで業績取得

クラス（Scraper)インスタンス作成時にに口座のIDとパスワードを文字列で入力、メソッドに証券コードを入力すれば業績のPandas Dataframeを返す

開発環境

python 3.6.4

使い方

　>>> d=SBI_Scraper('user_id','password')
　>>> d.get_fi_param('6050')
　flag 証券コード　期末期    売上高       営業益        経常益     最終益   1株益  
  　S  6050  　連13. 9*   2487000000   188000000   228000000  129000000  13.3   
  　S  6050  　連14. 9*   2471000000   200000000   235000000  132000000  13.7   
  　S  6050  　連15. 9*   3018000000   328000000   350000000  192000000  19.8   
  　S  6050  　連16. 9  　3813000000   562000000   554000000  350000000  35.3   
  　S  6050  　連17. 9  　5067000000   811000000   840000000  572000000  56.6   
  　S  6050  　連18. 9予  6100000000   960000000   970000000  640000000  62.6   
  　S  6050  　連19. 9予  7400000000  1120000000  1130000000  720000000  70.4  

コード

import requests
from bs4 import BeautifulSoup
import re
import pandas as pd
import os
import sys
import codecs

class SBI_Scraper():
    
    def __init__(self,user_id,password):
        self.base_url = "https://site1.sbisec.co.jp/ETGate/"
        self.user_id = user_id
        self.password = password
        self.login()
        
    def login(self):
        post = {
                'JS_FLG': "0",
                'BW_FLG': "0",
                "_ControlID": "WPLETlgR001Control",
                "_DataStoreID": "DSWPLETlgR001Control",
                "_PageID": "WPLETlgR001Rlgn20",
                "_ActionID": "login",
                "getFlg": "on",
                "allPrmFlg": "on",
                "_ReturnPageInfo": "WPLEThmR001Control/DefaultPID/DefaultAID/DSWPLEThmR001Control",
                "user_id": self.user_id,
                "user_password": self.password
                }
        self.session = requests.Session()
        res = self.session.post(self.base_url,data=post)
        res.encoding = res.apparent_encoding
    
    def int_float_multiply(self,int_,num):
        if isinstance(int_,int) or isinstance(int_,float):
            return int_ * ((10)**num)
        return int_

    def int_converter(self,str_):
        if isinstance(str_,str):
            if re.compile('-|‥').search(str_):
                return str_
            elif str_.find('.') != -1:
                float_ = float(str_.replace(',',''))
                return float_
            else:
                int_ = int(str_.replace(',',''))
                return int_
        return str_

    def dividend_converter(self,str):
            str = re.sub( u'[一-龥]', "", str)
            str = re.sub( '\*', "", str)
            
            if str.find('〜') != -1:
                return str[:str.find('〜')]
            return str
        
    
    def financePage_html(self,ticker):
        post={
                "_ControlID": "WPLETsiR001Control",
                "_DataStoreID": "DSWPLETsiR001Control",
                "_PageID": "WPLETsiR001Idtl50",
                "getFlg": "on",
                "_ActionID": "goToSeasonReportOfFinanceStatus",
                "s_rkbn": "2",
                "s_btype": "",
                "i_stock_sec": str(ticker),
                "i_dom_flg": "1",
                "i_exchange_code": "JPN",
                "i_output_type": "4",
                "exchange_code": "TKY",
                "stock_sec_code_mul": str(ticker),
                "ref_from": "1",
                "ref_to": "20",
                "wstm4130_sort_id": "" ,
                "wstm4130_sort_kbn":  "",
                "qr_keyword": "1",
                "qr_suggest": "1",
                "qr_sort": "1"
                }
        html = self.session.post(self.base_url,data=post)
        html.encoding = html.apparent_encoding
        return html

    def get_fi_param(self,ticker):
        pd_data_all = pd.DataFrame(columns=['flag','証券コード','期末期','売上高','営業益','経常益','最終益','1株益','1株配'])
        dict_={}
        html=self.financePage_html(ticker)
        soup = BeautifulSoup(html.text, 'html.parser')
        div_shikihou = soup.find_all('div',{'class':'shikihouBox01'})[0]
        table = div_shikihou.find_all('table')[1]
        gyousyu_str = table.find_all('tr')[1].string
        tr_list = table.tr.td.table.find_all('tr',{'align':'right'})
        for i in tr_list:
            if re.compile("連|単|◎|◇|□").search(str(i.td.string)):
                dict_['証券コード'] = ticker
                dict_['flag'] = 'S'
                dict_['期末期'] = i.td.string.replace('\n','')
                td_list = i.contents
                dict_['売上高'] = self.int_float_multiply(self.int_converter(td_list[3].string.replace('\n','')),6)
                dict_['営業益'] = self.int_float_multiply(self.int_converter(td_list[5].string.replace('\n','')),6)
                dict_['経常益'] = self.int_float_multiply(self.int_converter(td_list[7].string.replace('\n','')),6)
                dict_['最終益'] = self.int_float_multiply(self.int_converter(td_list[9].string.replace('\n','')),6)
                dict_['1株益'] = self.int_float_multiply(self.int_converter(td_list[11].string.replace('\n','')),0)
                dict_['1株配'] = self.int_float_multiply(self.int_converter(self.dividend_converter(td_list[13].string.replace('\n',''))),0)
                pd_data=pd.DataFrame(dict_,index=['1'])
                pd_data_all=pd_data_all.append(pd_data)
                pd_data_all = pd_data_all.ix[:,['flag','証券コード','期末期','売上高','営業益','経常益','最終益','1株益','1株配']]
        return pd_data_all

終わりに

SBIのウエブサイトの仕様が変わったら動かなくなります