#!/usr/bin/env python # -*- coding:utf-8 -*- """ Date: 2025/9/24 15:00 Desc: 东方财富-港股-行业对比 https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/IndustryComparison """ import pandas as pd import requests def stock_hk_growth_comparison_em(symbol: str = "03900") -> pd.DataFrame: """ 东方财富-港股-行业对比-成长性对比 https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/IndustryComparison :param symbol: 股票代码 :type symbol: str :return: 成长性对比 :rtype: pandas.DataFrame """ url = 'https://datacenter.eastmoney.com/securities/api/data/v1/get' params = { 'reportName': 'RPT_PCF10_INDUSTRY_HKGROWTH', 'columns': 'SECUCODE,SECURITY_CODE,ORG_CODE,REPORT_DATE,TYPE_ID,TYPE_TYPE,' 'TYPE_NAME,TYPE_NAME_EN,CORRE_SECURITY_CODE,CORRE_SECUCODE,' 'CORRE_SECURITY_NAME,EPS_YOY,OPERATE_INCOME_YOY,OPERATE_PROFIT_YOY,' 'TOTAL_ASSET_YOY,EPS_YOY_RANK,OPINCOME_YOY_RANK,OPROFIT_YOY_RANK,TOASSET_YOY_RANK', 'quoteColumns': '', 'filter': f'(SECUCODE="{symbol}.HK")(CORRE_SECUCODE="{symbol}.HK")', 'pageNumber': '1', 'pageSize': '', 'sortTypes': '', 'sortColumns': '', 'source': 'F10', 'client': 'PC', 'v': '03313416193688571' } r = requests.get(url, params=params) data_json = r.json() field_mapping = { 'CORRE_SECURITY_CODE': '代码', 'CORRE_SECURITY_NAME': '简称', 'EPS_YOY': '基本每股收益同比增长率', 'EPS_YOY_RANK': '基本每股收益同比增长率排名', 'OPERATE_INCOME_YOY': '营业收入同比增长率', 'OPINCOME_YOY_RANK': '营业收入同比增长率排名', 'OPERATE_PROFIT_YOY': '营业利润率同比增长率', 'OPROFIT_YOY_RANK': '营业利润率同比增长率排名', 'TOTAL_ASSET_YOY': '基本每股收总资产同比增长率益同比增长率', 'TOASSET_YOY_RANK': '总资产同比增长率排名', } temp_df = pd.DataFrame(columns=field_mapping.values()) 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[field_mapping.values()] return temp_df def stock_hk_valuation_comparison_em(symbol: str = "03900") -> pd.DataFrame: """ 东方财富-港股-行业对比-估值对比 https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/IndustryComparison :param symbol: 股票代码 :type symbol: str :return: 估值对比 :rtype: pandas.DataFrame """ url = 'https://datacenter.eastmoney.com/securities/api/data/v1/get' params = { 'reportName': 'RPT_PCF10_INDUSTRY_HKCVALUE', 'columns': 'SECUCODE,SECURITY_CODE,ORG_CODE,REPORT_DATE,TYPE_ID,' 'TYPE_TYPE,TYPE_NAME,TYPE_NAME_EN,CORRE_SECURITY_CODE,' 'CORRE_SECUCODE,CORRE_SECURITY_NAME,PE_TTM,PE_LYR,PB_MQR,' 'PB_LYR,PS_TTM,PS_LYR,PCE_TTM,PCE_LYR,PE_TTM_RANK,PE_LYR_RANK,' 'PB_MQR_RANK,PB_LYR_RANK,PS_TTM_RANK,PS_LYR_RANK,PCE_TTM_RANK,PCE_LYR_RANK', 'quoteColumns': '', 'filter': f'(SECUCODE="{symbol}.HK")(CORRE_SECUCODE="{symbol}.HK")', 'pageNumber': '1', 'pageSize': '', 'sortTypes': '', 'sortColumns': '', 'source': 'F10', 'client': 'PC', 'v': '03445297742754925' } r = requests.get(url, params=params) data_json = r.json() field_mapping = { 'CORRE_SECURITY_CODE': '代码', 'CORRE_SECURITY_NAME': '简称', 'PE_TTM': '市盈率-TTM', 'PE_TTM_RANK': '市盈率-TTM排名', 'PE_LYR': '市盈率-LYR', 'PE_LYR_RANK': '市盈率-LYR排名', 'PB_MQR': '市净率-MRQ', 'PB_MQR_RANK': '市净率-MRQ排名', 'PB_LYR': '市净率-LYR', 'PB_LYR_RANK': '市净率-LYR排名', 'PS_TTM': '市销率-TTM', 'PS_TTM_RANK': '市销率-TTM排名', 'PS_LYR': '市销率-LYR', 'PS_LYR_RANK': '市销率-LYR排名', 'PCE_TTM': '市现率-TTM', 'PCE_TTM_RANK': '市现率-TTM排名', 'PCE_LYR': '市现率-LYR', 'PCE_LYR_RANK': '市现率-LYR排名', } temp_df = pd.DataFrame(columns=field_mapping.values()) 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[field_mapping.values()] return temp_df def stock_hk_scale_comparison_em(symbol: str = "03900") -> pd.DataFrame: """ 东方财富-港股-行业对比-规模对比 https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/IndustryComparison :param symbol: 股票代码 :type symbol: str :return: 规模对比 :rtype: pandas.DataFrame """ url = 'https://datacenter.eastmoney.com/securities/api/data/v1/get' params = { 'reportName': 'RPT_PCF10_INDUSTRY_SCALE', 'columns': 'SECURITY_CODE,SECUCODE,TYPE_ID,TYPE_TYPE,TYPE_NAME,' 'TYPE_NAME_EN,CORRE_SECURITY_CODE,CORRE_SECUCODE,' 'CORRE_SECURITY_NAME,MAXSTDREPORTDATE,HKSDQMV,' 'HKTOTAL_MARKET_CAP,OPERATE_INCOME,GROSS_PROFIT,' 'HKSDQMV_RANK,HKTOTAL_CAP_RANK,OPERATE_INCOME_RANK,GROSS_PROFIT_RANK', 'quoteColumns': '', 'filter': f'(SECUCODE="{symbol}.HK")(CORRE_SECUCODE="{symbol}.HK")', 'pageNumber': '1', 'pageSize': '', 'sortTypes': '', 'sortColumns': '', 'source': 'F10', 'client': 'PC', 'v': '07839693368708753' } r = requests.get(url, params=params) data_json = r.json() field_mapping = { 'CORRE_SECURITY_CODE': '代码', 'CORRE_SECURITY_NAME': '简称', 'HKSDQMV': '总市值', 'HKSDQMV_RANK': '总市值排名', 'HKTOTAL_MARKET_CAP': '流通市值', 'HKTOTAL_CAP_RANK': '流通市值排名', 'OPERATE_INCOME': '营业总收入', 'OPERATE_INCOME_RANK': '营业总收入排名', 'GROSS_PROFIT': '净利润', 'GROSS_PROFIT_RANK': '净利润排名', } temp_df = pd.DataFrame(columns=field_mapping.values()) 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[field_mapping.values()] return temp_df if __name__ == "__main__": stock_hk_growth_comparison_em_df = stock_hk_growth_comparison_em(symbol="03900") print(stock_hk_growth_comparison_em_df) stock_hk_valuation_comparison_em_df = stock_hk_valuation_comparison_em(symbol="03900") print(stock_hk_valuation_comparison_em_df) stock_hk_scale_comparison_em_df = stock_hk_scale_comparison_em(symbol="03900") print(stock_hk_scale_comparison_em_df)