#!/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)