#!/usr/bin/env python # -*- coding:utf-8 -*- """ Date: 2025/3/4 17:00 Desc: 港股-基本面数据 https://emweb.securities.eastmoney.com/PC_HKF10/FinancialAnalysis/index?type=web&code=00700 """ import pandas as pd import requests def stock_financial_hk_report_em( stock: str = "00700", symbol: str = "资产负债表", indicator: str = "年度" ) -> pd.DataFrame: """ 东方财富-港股-财务报表-三大报表 https://emweb.securities.eastmoney.com/PC_HKF10/FinancialAnalysis/index?type=web&code=00700 :param stock: 股票代码 :type stock: str :param symbol: choice of {"资产负债表", "利润表", "现金流量表"} :type symbol: str :param indicator: choice of {"年度", "报告期"} :type indicator: str :return: 东方财富-港股-财务报表-三大报表 :rtype: pandas.DataFrame """ url = "https://datacenter.eastmoney.com/securities/api/data/v1/get" params = { "reportName": "RPT_CUSTOM_HKSK_APPFN_CASHFLOW_SUMMARY", "columns": "SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,START_DATE,REPORT_DATE,FISCAL_YEAR," "CURRENCY,ACCOUNT_STANDARD,REPORT_TYPE", "quoteColumns": "", "filter": f'(SECUCODE="{stock}.HK")', "source": "F10", "client": "PC", "v": "02092616586970355", } r = requests.get(url, params=params) data_json = r.json() temp_df = pd.DataFrame(data_json["result"]["data"][0]["REPORT_LIST"]) if indicator == "年度": temp_df = temp_df[temp_df["REPORT_TYPE"] == "年报"] else: temp_df = temp_df year_list = [item.split(" ")[0] for item in temp_df["REPORT_DATE"]] if symbol == "资产负债表": params = { "reportName": "RPT_HKF10_FN_BALANCE_PC", "columns": "SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,ORG_CODE,REPORT_DATE,DATE_TYPE_CODE," "FISCAL_YEAR,STD_ITEM_CODE,STD_ITEM_NAME,AMOUNT,STD_REPORT_DATE", "quoteColumns": "", "filter": f"""(SECUCODE="{stock}.HK")(REPORT_DATE in ({"'" + "','".join(year_list) + "'"}))""", "pageNumber": "1", "pageSize": "", "sortTypes": "-1,1", "sortColumns": "REPORT_DATE,STD_ITEM_CODE", "source": "F10", "client": "PC", "v": "01975982096513973", } r = requests.get(url, params=params) data_json = r.json() temp_df = pd.DataFrame(data_json["result"]["data"]) return temp_df elif symbol == "利润表": params = { "reportName": "RPT_HKF10_FN_INCOME_PC", "columns": "SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,ORG_CODE,REPORT_DATE,DATE_TYPE_CODE," "FISCAL_YEAR,START_DATE,STD_ITEM_CODE,STD_ITEM_NAME,AMOUNT", "quoteColumns": "", "filter": f"""(SECUCODE="{stock}.HK")(REPORT_DATE in ({"'" + "','".join(year_list) + "'"}))""", "pageNumber": "1", "pageSize": "", "sortTypes": "-1,1", "sortColumns": "REPORT_DATE,STD_ITEM_CODE", "source": "F10", "client": "PC", "v": "01975982096513973", } r = requests.get(url, params=params) data_json = r.json() temp_df = pd.DataFrame(data_json["result"]["data"]) return temp_df elif symbol == "现金流量表": params = { "reportName": "RPT_HKF10_FN_CASHFLOW_PC", "columns": "SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,ORG_CODE,REPORT_DATE,DATE_TYPE_CODE," "FISCAL_YEAR,START_DATE,STD_ITEM_CODE,STD_ITEM_NAME,AMOUNT", "quoteColumns": "", "filter": f"""(SECUCODE="{stock}.HK")(REPORT_DATE in ({"'" + "','".join(year_list) + "'"}))""", "pageNumber": "1", "pageSize": "", "sortTypes": "-1,1", "sortColumns": "REPORT_DATE,STD_ITEM_CODE", "source": "F10", "client": "PC", "v": "01975982096513973", } r = requests.get(url, params=params) data_json = r.json() temp_df = pd.DataFrame(data_json["result"]["data"]) return temp_df else: return pd.DataFrame() def stock_financial_hk_analysis_indicator_em( symbol: str = "00853", indicator: str = "年度" ) -> pd.DataFrame: """ 东方财富-港股-财务分析-主要指标 https://emweb.securities.eastmoney.com/PC_HKF10/NewFinancialAnalysis/index?type=web&code=00700 :param symbol: 股票代码 :type symbol: str :param indicator: choice of {"年度", "报告期"} :type indicator: str :return: 东方财富-港股-财务分析-主要指标 :rtype: pandas.DataFrame """ url = "https://datacenter.eastmoney.com/securities/api/data/v1/get" params = { "reportName": "RPT_HKF10_FN_MAININDICATOR", "columns": "HKF10_FN_MAININDICATOR", "quoteColumns": "", "pageNumber": "1", "pageSize": "9", "sortTypes": "-1", "sortColumns": "STD_REPORT_DATE", "source": "F10", "client": "PC", "v": "01975982096513973", } if indicator == "年度": params.update({"filter": f"""(SECUCODE="{symbol}.HK")(DATE_TYPE_CODE="001")"""}) else: params.update({"filter": f"""(SECUCODE="{symbol}.HK")"""}) r = requests.get(url, params=params) data_json = r.json() temp_df = pd.DataFrame(data_json["result"]["data"]) return temp_df if __name__ == "__main__": stock_financial_hk_analysis_indicator_em_df = ( stock_financial_hk_analysis_indicator_em(symbol="00700", indicator="年度") ) print(stock_financial_hk_analysis_indicator_em_df) stock_financial_hk_analysis_indicator_em_df = ( stock_financial_hk_analysis_indicator_em(symbol="00700", indicator="报告期") ) print(stock_financial_hk_analysis_indicator_em_df) stock_financial_hk_report_em_df = stock_financial_hk_report_em( stock="01742", symbol="资产负债表", indicator="年度" ) print(stock_financial_hk_report_em_df) stock_financial_hk_report_em_df = stock_financial_hk_report_em( stock="01742", symbol="资产负债表", indicator="报告期" ) print(stock_financial_hk_report_em_df) stock_financial_hk_report_em_df = stock_financial_hk_report_em( stock="00700", symbol="利润表", indicator="年度" ) print(stock_financial_hk_report_em_df) stock_financial_hk_report_em_df = stock_financial_hk_report_em( stock="00700", symbol="利润表", indicator="报告期" ) print(stock_financial_hk_report_em_df) stock_financial_hk_report_em_df = stock_financial_hk_report_em( stock="00700", symbol="现金流量表", indicator="年度" ) print(stock_financial_hk_report_em_df) stock_financial_hk_report_em_df = stock_financial_hk_report_em( stock="00700", symbol="现金流量表", indicator="报告期" ) print(stock_financial_hk_report_em_df)