#!/usr/bin/env python # -*- coding:utf-8 -*- """ Date: 2025/9/11 13:00 Desc: 东方财富-港股-公司概况 https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/CompanyProfile """ import pandas as pd import requests def stock_hk_security_profile_em(symbol: str = "03900") -> pd.DataFrame: """ 东方财富-港股-证券资料 https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/CompanyProfile :param symbol: 股票代码 :type symbol: str :return: 证券资料 :rtype: pandas.DataFrame """ url = "https://datacenter.eastmoney.com/securities/api/data/v1/get" params = { "reportName": "RPT_HKF10_INFO_SECURITYINFO", "columns": "SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,SECURITY_TYPE,LISTING_DATE,ISIN_CODE,BOARD," "TRADE_UNIT,TRADE_MARKET,GANGGUTONGBIAODISHEN,GANGGUTONGBIAODIHU,PAR_VALUE," "ISSUE_PRICE,ISSUE_NUM,YEAR_SETTLE_DAY", "quoteColumns": "", "filter": f'(SECUCODE="{symbol}.HK")', "pageNumber": "1", "pageSize": "200", "sortTypes": "", "sortColumns": "", "source": "F10", "client": "PC", "v": "04748497219912483", } r = requests.get(url, params=params) data_json = r.json() temp_df = pd.DataFrame(data_json["result"]["data"]) field_mapping = { "BOARD": "板块", "GANGGUTONGBIAODIHU": "是否沪港通标的", "GANGGUTONGBIAODISHEN": "是否深港通标的", "ISIN_CODE": "ISIN（国际证券识别编码）", "ISSUE_NUM": "发行量(股)", "ISSUE_PRICE": "发行价", "LISTING_DATE": "上市日期", "PAR_VALUE": "每股面值", "SECUCODE": "证券代码", "SECURITY_NAME_ABBR": "证券简称", "SECURITY_TYPE": "证券类型", "TRADE_MARKET": "交易所", "TRADE_UNIT": "每手股数", "YEAR_SETTLE_DAY": "年结日", } temp_df.rename(columns=field_mapping, inplace=True) temp_df = temp_df[ [ "证券代码", "证券简称", "上市日期", "证券类型", "发行价", "发行量(股)", "每手股数", "每股面值", "交易所", "板块", "年结日", "ISIN（国际证券识别编码）", "是否沪港通标的", "是否深港通标的", ] ] return temp_df def stock_hk_company_profile_em(symbol: str = "03900") -> pd.DataFrame: """ 东方财富-港股-公司资料 https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/CompanyProfile :param symbol: 股票代码 :type symbol: str :return: 公司资料 :rtype: pandas.DataFrame """ url = "https://datacenter.eastmoney.com/securities/api/data/v1/get" params = { "reportName": "RPT_HKF10_INFO_ORGPROFILE", "columns": "SECUCODE,SECURITY_CODE,ORG_NAME,ORG_EN_ABBR,BELONG_INDUSTRY,FOUND_DATE,CHAIRMAN," "SECRETARY,ACCOUNT_FIRM,REG_ADDRESS,ADDRESS,YEAR_SETTLE_DAY,EMP_NUM,ORG_TEL,ORG_FAX,ORG_EMAIL," "ORG_WEB,ORG_PROFILE,REG_PLACE", "quoteColumns": "", "filter": f'(SECUCODE="{symbol}.HK")', "pageNumber": "1", "pageSize": "200", "sortTypes": "", "sortColumns": "", "source": "F10", "client": "PC", "v": "04748497219912483", } r = requests.get(url, params=params) data_json = r.json() temp_df = pd.DataFrame(data_json["result"]["data"]) field_mapping = { "ACCOUNT_FIRM": "核数师", "ADDRESS": "办公地址", "BELONG_INDUSTRY": "所属行业", "CHAIRMAN": "董事长", "EMP_NUM": "员工人数", "FOUND_DATE": "公司成立日期", "ORG_EMAIL": "E-MAIL", "ORG_EN_ABBR": "英文名称", "ORG_FAX": "传真", "ORG_NAME": "公司名称", "ORG_PROFILE": "公司介绍", "ORG_TEL": "联系电话", "ORG_WEB": "公司网址", "REG_ADDRESS": "注册地址", "REG_PLACE": "注册地", "SECRETARY": "公司秘书", "SECUCODE": "股票代码", "SECURITY_CODE": "证券代码", "YEAR_SETTLE_DAY": "年结日", } temp_df.rename(columns=field_mapping, inplace=True) temp_df = temp_df[ [ "公司名称", "英文名称", "注册地", "注册地址", "公司成立日期", "所属行业", "董事长", "公司秘书", "员工人数", "办公地址", "公司网址", "E-MAIL", "年结日", "联系电话", "核数师", "传真", "公司介绍", ] ] return temp_df def stock_hk_financial_indicator_em(symbol: str = "03900") -> pd.DataFrame: """ 东方财富-港股-核心必读-最新指标 https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/CoreReading :param symbol: 股票代码 :type symbol: str :return: 财务指标 :rtype: pandas.DataFrame """ url = "https://datacenter.eastmoney.com/securities/api/data/v1/get" params = { "reportName": "RPT_CUSTOM_HKF10_FN_MAININDICATORMAX", "columns": "ORG_CODE,SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,SECURITY_INNER_CODE,REPORT_DATE,BASIC_EPS," "PER_NETCASH_OPERATE,BPS,BPS_NEDILUTED,COMMON_ACS,PER_SHARES,ISSUED_COMMON_SHARES,HK_COMMON_SHARES," "TOTAL_MARKET_CAP,HKSK_MARKET_CAP,OPERATE_INCOME,OPERATE_INCOME_SQ,OPERATE_INCOME_QOQ," "OPERATE_INCOME_QOQ_SQ,HOLDER_PROFIT,HOLDER_PROFIT_SQ,HOLDER_PROFIT_QOQ,HOLDER_PROFIT_QOQ_SQ,PE_TTM," "PE_TTM_SQ,PB_TTM,PB_TTM_SQ,NET_PROFIT_RATIO,NET_PROFIT_RATIO_SQ,ROE_AVG,ROE_AVG_SQ,ROA," "ROA_SQ,DIVIDEND_TTM,DIVIDEND_LFY,DIVI_RATIO,DIVIDEND_RATE,IS_CNY_CODE", "quoteColumns": "", "filter": f'(SECUCODE="{symbol}.HK")', "pageNumber": "1", "pageSize": "200", "sortTypes": "-1", "sortColumns": "REPORT_DATE", "source": "F10", "client": "PC", "v": "07945646099062258", } r = requests.get(url, params=params) data_json = r.json() temp_df = pd.DataFrame(data_json["result"]["data"]) field_mapping = { "SECURITY_CODE": "股票代码", "BASIC_EPS": "基本每股收益(元)", "BPS": "每股净资产(元)", "COMMON_ACS": "法定股本(股)", "PER_SHARES": "每手股", "DIVIDEND_TTM": "每股股息TTM(港元)", "DIVI_RATIO": "派息比率(%)", "ISSUED_COMMON_SHARES": "已发行股本(股)", "HK_COMMON_SHARES": "已发行股本-H股(股)", "PER_NETCASH_OPERATE": "每股经营现金流(元)", "DIVIDEND_RATE": "股息率TTM(%)", "TOTAL_MARKET_CAP": "总市值(港元)", "HKSK_MARKET_CAP": "港股市值(港元)", "OPERATE_INCOME": "营业总收入", "OPERATE_INCOME_QOQ": "营业总收入滚动环比增长(%)", "NET_PROFIT_RATIO": "销售净利率(%)", "HOLDER_PROFIT": "净利润", "HOLDER_PROFIT_QOQ": "净利润滚动环比增长(%)", "ROE_AVG": "股东权益回报率(%)", "PE_TTM": "市盈率", "PB_TTM": "市净率", "ROA": "总资产回报率(%)", } temp_df.rename(columns=field_mapping, inplace=True) temp_df = temp_df[ [ "基本每股收益(元)", "每股净资产(元)", "法定股本(股)", "每手股", "每股股息TTM(港元)", "派息比率(%)", "已发行股本(股)", "已发行股本-H股(股)", "每股经营现金流(元)", "股息率TTM(%)", "总市值(港元)", "港股市值(港元)", "营业总收入", "营业总收入滚动环比增长(%)", "销售净利率(%)", "净利润", "净利润滚动环比增长(%)", "股东权益回报率(%)", "市盈率", "市净率", "总资产回报率(%)", ] ] return temp_df def stock_hk_dividend_payout_em(symbol: str = "03900") -> pd.DataFrame: """ 东方财富-港股-核心必读-分红派息 https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/CoreReading :param symbol: 股票代码 :type symbol: str :return: 分红派息 :rtype: pandas.DataFrame """ url = "https://datacenter.eastmoney.com/securities/api/data/v1/get" params = { "reportName": "RPT_HKF10_MAIN_DIVBASIC", "columns": "SECURITY_CODE,UPDATE_DATE,REPORT_TYPE,EX_DIVIDEND_DATE,DIVIDEND_DATE," "TRANSFER_END_DATE,YEAR,PLAN_EXPLAIN,IS_BFP", "quoteColumns": "", "filter": f'(SECURITY_CODE="{symbol}")(IS_BFP="0")', "pageNumber": "1", "pageSize": "200", "sortTypes": "-1,-1", "sortColumns": "NOTICE_DATE,EX_DIVIDEND_DATE", "source": "F10", "client": "PC", "v": "035584639294227527", } r = requests.get(url, params=params) data_json = r.json() field_mapping = { "SECURITY_CODE": "股票代码", "UPDATE_DATE": "最新公告日期", "REPORT_TYPE": "分配类型", "EX_DIVIDEND_DATE": "除净日", "DIVIDEND_DATE": "发放日", "TRANSFER_END_DATE": "截至过户日", "YEAR": "财政年度", "PLAN_EXPLAIN": "分红方案", "IS_BFP": "IS_BFP", } columns = [ "最新公告日期", "财政年度", "分红方案", "分配类型", "除净日", "截至过户日", "发放日", ] temp_df = pd.DataFrame(columns=columns) if data_json["result"] is not None: temp_df = pd.DataFrame(data_json["result"]["data"]) temp_df.rename(columns=field_mapping, inplace=True) temp_df = temp_df[columns] temp_df["最新公告日期"] = pd.to_datetime( temp_df["最新公告日期"], errors="coerce" ).dt.date temp_df["除净日"] = pd.to_datetime(temp_df["除净日"], errors="coerce").dt.date temp_df["发放日"] = pd.to_datetime( temp_df["发放日"], format="%Y/%m/%d", errors="coerce" ).dt.date return temp_df if __name__ == "__main__": stock_hk_security_profile_em_df = stock_hk_security_profile_em(symbol="03900") print(stock_hk_security_profile_em_df) stock_hk_company_profile_em_df = stock_hk_company_profile_em(symbol="03900") print(stock_hk_company_profile_em_df) stock_hk_financial_indicator_em_df = stock_hk_financial_indicator_em(symbol="03900") print(stock_hk_financial_indicator_em_df) stock_hk_dividend_payout_em_df = stock_hk_dividend_payout_em(symbol="03900") print(stock_hk_dividend_payout_em_df)