#!/usr/bin/env python # -*- coding:utf-8 -*- """ Date: 2023/7/8 17:15 Desc: 东方财富个股人气榜 https://guba.eastmoney.com/rank/ """ import pandas as pd import requests def stock_hot_rank_em() -> pd.DataFrame: """ 东方财富-个股人气榜-人气榜 https://guba.eastmoney.com/rank/ :return: 人气榜 :rtype: pandas.DataFrame """ url = "https://emappdata.eastmoney.com/stockrank/getAllCurrentList" payload = { "appId": "appId01", "globalId": "786e4c21-70dc-435a-93bb-38", "marketType": "", "pageNo": 1, "pageSize": 100, } r = requests.post(url, json=payload) data_json = r.json() temp_rank_df = pd.DataFrame(data_json["data"]) temp_rank_df["mark"] = [ "0" + "." + item[2:] if "SZ" in item else "1" + "." + item[2:] for item in temp_rank_df["sc"] ] ",".join(temp_rank_df["mark"]) + "?v=08926209912590994" params = { "ut": "f057cbcbce2a86e2866ab8877db1d059", "fltt": "2", "invt": "2", "fields": "f14,f3,f12,f2", "secids": ",".join(temp_rank_df["mark"]) + ",?v=08926209912590994", } url = "https://push2.eastmoney.com/api/qt/ulist.np/get" r = requests.get(url, params=params) data_json = r.json() temp_df = pd.DataFrame(data_json["data"]["diff"]) temp_df.columns = ["最新价", "涨跌幅", "代码", "股票名称"] temp_df["最新价"] = pd.to_numeric(temp_df["最新价"], errors="coerce") temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"], errors="coerce") temp_df["涨跌额"] = temp_df["最新价"] * temp_df["涨跌幅"] / 100 temp_df["当前排名"] = temp_rank_df["rk"] temp_df["代码"] = temp_rank_df["sc"] temp_df = temp_df[ [ "当前排名", "代码", "股票名称", "最新价", "涨跌额", "涨跌幅", ] ] temp_df["当前排名"] = pd.to_numeric(temp_df["当前排名"], errors="coerce") return temp_df def stock_hot_rank_detail_em(symbol: str = "SZ000665") -> pd.DataFrame: """ 东方财富-个股人气榜-历史趋势及粉丝特征 https://guba.eastmoney.com/rank/stock?code=000665 :param symbol: 带市场表示的证券代码 :type symbol: str :return: 个股的历史趋势及粉丝特征 :rtype: pandas.DataFrame """ url_rank = "https://emappdata.eastmoney.com/stockrank/getHisList" payload = { "appId": "appId01", "globalId": "786e4c21-70dc-435a-93bb-38", "marketType": "", "srcSecurityCode": symbol, "yearType": "5", } r = requests.post(url_rank, json=payload) data_json = r.json() temp_df = pd.DataFrame(data_json["data"]) temp_df["证券代码"] = symbol temp_df.columns = ["时间", "排名", "证券代码"] temp_df = temp_df[["时间", "排名", "证券代码"]] url_follow = "https://emappdata.eastmoney.com/stockrank/getHisProfileList" r = requests.post(url_follow, json=payload) data_json = r.json() temp_df["新晋粉丝"] = ( pd.DataFrame(data_json["data"])["newUidRate"].str.strip("%").astype(float) / 100 ) temp_df["铁杆粉丝"] = ( pd.DataFrame(data_json["data"])["oldUidRate"].str.strip("%").astype(float) / 100 ) temp_df.sort_values(["时间"], inplace=True) return temp_df def stock_hot_rank_detail_realtime_em(symbol: str = "SZ000665") -> pd.DataFrame: """ 东方财富-个股人气榜-实时变动 https://guba.eastmoney.com/rank/stock?code=000665 :param symbol: 带市场表示的证券代码 :type symbol: str :return: 实时变动 :rtype: pandas.DataFrame """ url = "https://emappdata.eastmoney.com/stockrank/getCurrentList" payload = { "appId": "appId01", "globalId": "786e4c21-70dc-435a-93bb-38", "marketType": "", "srcSecurityCode": symbol, } r = requests.post(url, json=payload) data_json = r.json() temp_df = pd.DataFrame(data_json["data"]) temp_df.columns = ["时间", "排名"] return temp_df def stock_hot_keyword_em(symbol: str = "SZ000665") -> pd.DataFrame: """ 东方财富-个股人气榜-热门关键词 https://guba.eastmoney.com/rank/stock?code=000665 :param symbol: 带市场表示的证券代码 :type symbol: str :return: 热门关键词 :rtype: pandas.DataFrame """ url = "https://emappdata.eastmoney.com/stockrank/getHotStockRankList" payload = { "appId": "appId01", "globalId": "786e4c21-70dc-435a-93bb-38", "srcSecurityCode": symbol, } r = requests.post(url, json=payload) data_json = r.json() temp_df = pd.DataFrame(data_json["data"]) del temp_df["flag"] temp_df.columns = ["时间", "股票代码", "概念名称", "概念代码", "热度"] return temp_df def stock_hot_rank_latest_em(symbol: str = "SZ000665") -> pd.DataFrame: """ 东方财富-个股人气榜-最新排名 https://guba.eastmoney.com/rank/stock?code=000665 :param symbol: 带市场表示的证券代码 :type symbol: str :return: 最新排名 :rtype: pandas.DataFrame """ url = "https://emappdata.eastmoney.com/stockrank/getCurrentLatest" payload = { "appId": "appId01", "globalId": "786e4c21-70dc-435a-93bb-38", "marketType": "", "srcSecurityCode": symbol, } r = requests.post(url, json=payload) data_json = r.json() temp_df = pd.DataFrame.from_dict(data_json["data"], orient="index") temp_df.reset_index(inplace=True) temp_df.columns = ["item", "value"] return temp_df def stock_hot_rank_relate_em(symbol: str = "SZ000665") -> pd.DataFrame: """ 东方财富-个股人气榜-相关股票 https://guba.eastmoney.com/rank/stock?code=000665 :param symbol: 带市场表示的证券代码 :type symbol: str :return: 相关股票 :rtype: pandas.DataFrame """ url = "https://emappdata.eastmoney.com/stockrank/getFollowStockRankList" payload = { "appId": "appId01", "globalId": "786e4c21-70dc-435a-93bb-38", "srcSecurityCode": symbol, } r = requests.post(url, json=payload) data_json = r.json() temp_df = pd.DataFrame.from_dict(data_json["data"]) temp_df.columns = ["时间", "-", "股票代码", "-", "相关股票代码", "涨跌幅", "-"] temp_df = temp_df[["时间", "股票代码", "相关股票代码", "涨跌幅"]] temp_df["涨跌幅"] = temp_df["涨跌幅"].str.strip("%") temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"], errors="coerce") return temp_df if __name__ == "__main__": stock_hot_rank_em_df = stock_hot_rank_em() print(stock_hot_rank_em_df) stock_hot_rank_detail_em_df = stock_hot_rank_detail_em(symbol="SZ871245") print(stock_hot_rank_detail_em_df) stock_hot_rank_detail_realtime_em_df = stock_hot_rank_detail_realtime_em( symbol="SZ000665" ) print(stock_hot_rank_detail_realtime_em_df) stock_hot_keyword_em_df = stock_hot_keyword_em(symbol="SZ000665") print(stock_hot_keyword_em_df) stock_hot_rank_latest_em_df = stock_hot_rank_latest_em(symbol="SZ000665") print(stock_hot_rank_latest_em_df) stock_hot_rank_relate_em_df = stock_hot_rank_relate_em(symbol="SZ000665") print(stock_hot_rank_relate_em_df)