#!/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)