知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
87 lines
2.9 KiB
Python
87 lines
2.9 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2026/5/18 18:12
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Desc: 百度股市通-外汇-行情榜单
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https://finance.baidu.com/top/foreign-rmb
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"""
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import pandas as pd
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import requests
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def fx_quote_baidu(symbol: str = "人民币", token: str = "") -> pd.DataFrame:
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"""
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百度股市通-外汇-行情榜单
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https://finance.baidu.com/top/foreign-rmb
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:param symbol: choice of {"人民币", "美元"}
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:type symbol: str
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:param token: 目标网站复制 acs-token 后传入
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:type token: str
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:return: 外汇行情数据
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:rtype: pandas.DataFrame
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"""
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symbol_map = {
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"人民币": "rmb",
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"美元": "dollar",
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}
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headers = {
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"Accept": "application/json, text/plain, */*",
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"Accept-Language": "zh-CN,zh;q=0.9",
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"Origin": "https://finance.baidu.com",
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"Referer": "https://finance.baidu.com/",
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"acs-token": token,
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}
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url = "https://finance.pae.baidu.com/api/getforeignrank"
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out_df = pd.DataFrame()
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num = 0
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while True:
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params = {
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"type": symbol_map[symbol],
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"pn": num,
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"rn": "20",
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"finClientType": "pc",
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}
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r = requests.get(url, params=params, headers=headers, timeout=10)
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data_json = r.json()
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# 显式检查返回码，便于调试
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if data_json.get("ResultCode") != "0":
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print(f"[pn={num}] 接口返回异常: {data_json}")
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break
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result = data_json.get("Result")
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if not result: # 空列表 → 已到末页
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break
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temp_df = pd.DataFrame(result)
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if temp_df.empty or "list" not in temp_df.columns:
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break
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temp_list = []
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item = None
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for item in temp_df["list"]:
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temp_list.append(list(pd.DataFrame(item).T.iloc[1, :].values))
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if item is None:
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break
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value_df = pd.DataFrame(
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temp_list, columns=pd.DataFrame(item).T.iloc[0, :].values
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)
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big_df = pd.concat(objs=[temp_df, value_df], axis=1)
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for col in ["market", "list", "status", "icon1", "icon2", "financeType"]:
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if col in big_df.columns:
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del big_df[col]
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big_df.columns = ["代码", "名称", "最新价", "涨跌额", "涨跌幅"]
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big_df["最新价"] = pd.to_numeric(big_df["最新价"], errors="coerce")
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big_df["涨跌额"] = pd.to_numeric(big_df["涨跌额"], errors="coerce")
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big_df["涨跌幅"] = (
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pd.to_numeric(big_df["涨跌幅"].str.strip("%"), errors="coerce") / 100
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)
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out_df = pd.concat(objs=[out_df, big_df], ignore_index=True)
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# 如果本页返回不足 20 条，说明是最后一页
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if len(big_df) < 20:
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break
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num += 20
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return out_df
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if __name__ == "__main__":
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fx_quote_baidu_df = fx_quote_baidu(symbol="人民币")
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print(fx_quote_baidu_df)
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