港股和美股免费api接口(整理自网络)
1.港股
实时行情
import requests hk_sina_stock_list_url = "http://vip.stock.finance.sina.com.cn/quotes_service/api/json_v2.php/Market_Center.getHKStockData" hk_sina_stock_dict_payload = { "page": "1", "num": "3000", "sort": "symbol", "asc": "1", "node": "qbgg_hk", "_s_r_a": "page" } def sina_hk_real(): """ 新浪财经-港股的所有港股的实时行情数据 http://vip.stock.finance.sina.com.cn/mkt/#qbgg_hk :return: 实时行情数据 :rtype: [] """ res = requests.get(hk_sina_stock_list_url, params=hk_sina_stock_dict_payload) if res.status_code != 200: logging.error(f"sina_hk_real/status_code:{res.status_code}/text:{res.text}") return [] else: try: data_json = res.json() """ {'symbol': '00021', # 港股代码 'name': '大中华地产控股', # 中文名称 'engname': 'GREAT CHI PPT', # 英文名称 'tradetype': 'EQTY', # 交易类型 'lasttrade': '0.000', # 最新价 'prevclose': '0.118', # 前一个交易日收盘价 'open': '0.000', # 开盘价 'high': '0.000', # 最高价 'low': '0.000', # 最低价 'volume': '0', # 成交量(万) 'currentvolume': '0', # 每手股数 'amount': '0', # 成交额(万) 'ticktime': '2022-04-08 10:54:17', # 当前数据时间戳 'buy': '0.115', # 买一 'sell': '0.120', # 卖一 'high_52week': '0.247', # 52周最高价 'low_52week': '0.110', # 52周最低价 'eps': '-0.003', # 每股收益 'dividend': None, # 股息 'stocks_sum': '3975233406', 'pricechange': '0.000', # 涨跌额 'changepercent': '0.0000000', # 涨跌幅 'market_value': '0.000', # 港股市值 'pe_ratio': '0.0000000' } """ except Exception as e: logging.error(f"sina_hk_real/error: res.json()/detail:{e.__str__()}") return [] res = [ {"stock_code": d["symbol"], "name": d["name"], "eng_name": d["engname"], "date": d["ticktime"][:10], "time": d["ticktime"][11:], "now": float(d["lasttrade"]), "open": float(d["open"]), "close": float(d["prevclose"]), "high": float(d["high"]), "low": float(d["low"]), "volume": float(d["amount"]) * 10000, "turnover": float(d["volume"]) * 10000, "buy": float(d["buy"]), "sell": float(d["sell"]), "change": float(d["pricechange"]), "change_rate": float(d["changepercent"]), "stock_type": "hk"} for d in data_json ] return res
股票代码
def get_hk_stock_codes(): stocks = sina_hk_real() return [{"stock_code": i["stock_code"], "name": i["name"], "eng_name": i["eng_name"], "stock_type": "hk"} for i in stocks]
1分钟级k线
import requests hk_tencent_minute = "https://web.ifzq.gtimg.cn/appstock/app/minute/query?code={}" def tencent_hk_minute(stock_code, latest_minute=True): prefix_code = "hk" + stock_code res = requests.get(hk_tencent_minute.format(prefix_code), headers=headers) if res.status_code != 200: logging.error(f"tencent_hk_minute/status_code:{res.status_code}/text:{res.text}") return [] else: try: data_json = res.json() except Exception as e: logging.error(f"tencent_hk_minute/error: res.json()/detail:{e.__str__()}") return [] if "data" in data_json \ and prefix_code in data_json["data"] \ and "data" in data_json["data"][prefix_code] \ and "data" in data_json["data"][prefix_code]["data"] \ and data_json["data"][prefix_code]["data"]["data"]: date = data_json["data"][prefix_code]["data"]["date"] date = date[:4] + "-" + date[4:6] + "-" + date[6:] res = [] prev = 0 for d in data_json["data"][prefix_code]["data"]["data"]: d = d.split(" ") res.append({ "datetime": date + " " + d[0][:2] + ":" + d[0][2:] + ":00", "close": float(d[1]), "volume": float(d[2]) - prev, "stock_type": "hk" }) prev = float(d[2]) - prev if latest_minute: return res[-1] else: return res else: return [] print(tencent_hk_minute("00001"))
天级别k线
import requests
from py_mini_racer import py_mini_racer
hk_sina_stock_hist_url = "https://finance.sina.com.cn/stock/hkstock/{}/klc_kl.js"
def sina_hk_daily(symbol, adjust=""):
"""
新浪财经-港股-个股的历史行情数据
https://stock.finance.sina.com.cn/hkstock/quotes/02912.html
"""
res = requests.get(hk_sina_stock_hist_url.format(symbol))
js_code = py_mini_racer.MiniRacer()
js_code.eval(hk_js_decode)
dict_list: list = js_code.call(
"d", res.text.split("=")[1].split(";")[0].replace('"', "")
) # 执行js解密代码
dict_list.sort(key=lambda x: x["date"])
if adjust == "qfq":
# 使用前复权
res = requests.get(hk_sina_stock_hist_qfq_url.format(symbol))
try:
qfq = json.loads(res.text.split("=")[1].split("\n")[0])["data"]
if len(qfq) == 1:
return dict_list
except SyntaxError as e:
return dict_list
qfq = sorted(map(lambda x: (x["d"], float(x["f"])), qfq))
n = len(qfq)
qfq_index = 0
for data_index in range(len(dict_list)):
while qfq_index + 1 < n and qfq[qfq_index + 1][0] <= dict_list[data_index]["date"][:10]:
qfq_index += 1
dict_list[data_index]["high"] *= qfq[qfq_index][1]
dict_list[data_index]["low"] *= qfq[qfq_index][1]
dict_list[data_index]["open"] *= qfq[qfq_index][1]
dict_list[data_index]["close"] *= qfq[qfq_index][1]
return dict_list
print(sina_hk_daily("00001"))
def tencent_hk_daily(symbol, day=0):
prefix_code = "hk" + symbol
res = requests.get(hk_tencent_daily.format(prefix_code, day), headers=headers)
if res.status_code != 200:
logging.error(f"tencent_hk_daily/status_code:{res.status_code}/text:{res.text}")
return []
else:
try:
data_json = json.loads(res.text.split("=")[1].split("\n")[0])
except Exception as e:
logging.error(f"tencent_hk_daily/error: res.json()/detail:{e.__str__()}")
return []
if "data" in data_json \
and prefix_code in data_json["data"] \
and "day" in data_json["data"][prefix_code]:
res = []
for d in data_json["data"][prefix_code]["day"]:
res.append({
"day": d[0],
"open": float(d[1]),
"close": float(d[2]),
"high": float(d[3]),
"low": float(d[4]),
"volume": float(d[5])
})
return res
else:
return []2.美股
实时行情
import requests
import pandas as pd
def em_us_real():
"""
东方财富-美股-实时行情
http://quote.eastmoney.com/center/gridlist.html#us_stocks
:return: 美股-实时行情; 延迟 15 min
"f1": "_",
"f2": "最新价",
"f3": "涨跌幅",
"f4": "涨跌额",
"f5": "成交量",
"f6": "成交额",
"f7": "振幅",
"f8": "换手率",
"f9": "-",
"f10": "_",
"f11": "_",
"f12": "简称",
"f13": "编码",
"f14": "名称",
"f15": "最高价",
"f16": "最低价",
"f17": "开盘价",
"f18": "昨收价",
"f20": "总市值",
"f21": "_",
"f22": "_",
"f23": "_",
"f24": "_",
"f25": "_",
"f26": "_",
"f33": "_",
"f62": "_",
"f115": "市盈率",
"f124": "时间戳",
"f128": "_",
"f140": "_",
"f141": "_",
"f136": "_",
"f152": "_",
"""
url = "http://72.push2.eastmoney.com/api/qt/clist/get"
params = {
"pn": "1",
"pz": "20000",
"po": "1",
"np": "1",
"ut": "bd1d9ddb04089700cf9c27f6f7426281",
"fltt": "2",
"invt": "2",
"fid": "f3",
"fs": "m:105,m:106,m:107",
"fields": "f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f12,f13,f14,f15,f16,f17,f18,f20,f21,"
"f23,f24,f25,f26,f22,f33,f11,f62,f128,f136,f115,f124,f152",
"_": str(int(time.time() * 1000)),
}
res = requests.get(url, params=params)
if res.status_code != 200:
logging.error(f"em_us_real/status_code:{res.status_code}/text:{res.text}")
return []
else:
try:
data_json = res.json()
except Exception as e:
logging.error(f"em_us_real/error: res.json()/detail:{e.__str__()}")
return []
if "data" in data_json and "diff" in data_json["data"] and data_json["data"]["diff"]:
res = []
for d in data_json["data"]["diff"]:
_datetime = mystriptime(d["f124"])
res.append({"stock_code": d["f12"],
"name": d["f14"],
"eng_name": d["f12"],
"date": _datetime.strftime("%Y-%m-%d"),
"time": _datetime.strftime("%H:%M:%M"),
"now": pd.to_numeric(d["f2"], errors="coerce"),
"open": pd.to_numeric(d["f17"], errors="coerce"),
"close": pd.to_numeric(d["f18"], errors="coerce"),
"high": pd.to_numeric(d["f15"], errors="coerce"),
"low": pd.to_numeric(d["f16"], errors="coerce"),
"volume": pd.to_numeric(d["f6"], errors="coerce"),
"turnover": pd.to_numeric(d["f5"], errors="coerce"),
"buy": pd.to_numeric(d["f2"], errors="coerce"),
"sell": pd.to_numeric(d["f2"], errors="coerce"),
"change": pd.to_numeric(d["f4"], errors="coerce"),
"change_rate": pd.to_numeric(d["f3"], errors="coerce"),
"stock_type": "us"})
return res
else:
return []美股代码
def get_us_stock_codes():
stocks = em_us_real()
return [{"stock_code": i["stock_code"],
"name": i["name"],
"eng_name": i["eng_name"],
"stock_type": "us"}
for i in stocks]1分钟级k线
import requests
headers = {
"User-Agent": (
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/100.0.4896.75 "
"Safari/537.36"
)
}
def tencent_us_minute(stock_code, latest_minute=True):
prefix_code = "us" + stock_code + ".OQ"
res = requests.get(us_tencent_minute.format(prefix_code), headers=headers)
if res.status_code != 200:
logging.error(f"tencent_hk_minute/status_code:{res.status_code}/text:{res.text}")
return []
else:
try:
data_json = res.json()
except Exception as e:
logging.error(f"tencent_hk_minute/error: res.json()/detail:{e.__str__()}")
return []
if "data" in data_json \
and prefix_code in data_json["data"] \
and "data" in data_json["data"][prefix_code] \
and "data" in data_json["data"][prefix_code]["data"] \
and data_json["data"][prefix_code]["data"]["data"]:
date = data_json["data"][prefix_code]["data"]["date"]
date = date[:4] + "-" + date[4:6] + "-" + date[6:]
res = []
prev = 0
for d in data_json["data"][prefix_code]["data"]["data"]:
d = d.split(" ")
res.append({
"datetime": date + " " + d[0][:2] + ":" + d[0][2:] + ":00",
"close": float(d[1]),
"volume": float(d[2]) - prev,
"stock_type": "hk"
})
prev = float(d[2]) - prev
if latest_minute:
return res[-1]
else:
return res
else:
return []天k线
import requests
from py_mini_racer import py_mini_racer
us_sina_stock_hist_qfq_url = "https://finance.sina.com.cn/us_stock/company/reinstatement/{}_qfq.js"
us_tencent_daily = "http://web.ifzq.gtimg.cn/appstock/app/fqkline/get?_var=kline_dayqfq¶m={},day,,,{},qfq"
def sina_us_daily(symbol, adjust=""):
url = f"https://finance.sina.com.cn/staticdata/us/{symbol}"
res = requests.get(url)
js_code = py_mini_racer.MiniRacer()
js_code.eval(zh_js_decode)
dict_list = js_code.call(
"d", res.text.split("=")[1].split(";")[0].replace('"', "")
) # 执行js解密代码
if adjust == "qfq":
# 使用前复权
res = requests.get(us_sina_stock_hist_qfq_url.format(symbol))
try:
qfq = json.loads(res.text.split("=")[1].split("\n")[0])["data"]
if len(qfq) == 1:
return dict_list
except SyntaxError as e:
return dict_list
qfq = sorted(map(lambda x: (x["d"], float(x["f"]), float(x["c"])), qfq))
n = len(qfq)
qfq_index = 0
for data_index in range(len(dict_list)):
while qfq_index + 1 < n and qfq[qfq_index + 1][0] <= dict_list[data_index]["date"][:10]:
qfq_index += 1
dict_list[data_index]["high"] *= qfq[qfq_index][1]
dict_list[data_index]["high"] += qfq[qfq_index][2]
dict_list[data_index]["low"] *= qfq[qfq_index][1]
dict_list[data_index]["low"] += qfq[qfq_index][2]
dict_list[data_index]["open"] *= qfq[qfq_index][1]
dict_list[data_index]["open"] += qfq[qfq_index][2]
dict_list[data_index]["close"] *= qfq[qfq_index][1]
dict_list[data_index]["close"] += qfq[qfq_index][2]
return dict_list
def tencent_us_daily(symbol, day=0):
prefix_code = "us" + symbol + ".OQ"
res = requests.get(us_tencent_daily.format(prefix_code, day), headers=headers)
if res.status_code != 200:
logging.error(f"tencent_hk_daily/status_code:{res.status_code}/text:{res.text}")
return []
else:
try:
data_json = json.loads(res.text.split("=")[1].split("\n")[0])
except Exception as e:
logging.error(f"tencent_hk_daily/error: res.json()/detail:{e.__str__()}")
return []
if "data" in data_json \
and prefix_code in data_json["data"] \
and "day" in data_json["data"][prefix_code]:
res = []
for d in data_json["data"][prefix_code]["day"]:
res.append({
"day": d[0],
"open": float(d[1]),
"close": float(d[2]),
"high": float(d[3]),
"low": float(d[4]),
"volume": float(d[5])
})
return res
else:
return []
更便捷的方法，建议使用akshare，虽然获取速度很慢，但接口获取方式是可以参考的。
