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
70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2026/1/20 15:00
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Desc: 深圳证券交易所-ETF基金份额数据
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https://fund.szse.cn/marketdata/fundslist/index.html
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"""
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import warnings
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import pandas as pd
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import requests
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def fund_etf_scale_szse() -> pd.DataFrame:
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"""
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深圳证券交易所-基金产品-基金列表-ETF基金份额
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https://fund.szse.cn/marketdata/fundslist/index.html
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:return: ETF基金份额数据
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:rtype: pandas.DataFrame
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"""
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url = "https://fund.szse.cn/api/report/ShowReport"
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params = {
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"SHOWTYPE": "xlsx",
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"CATALOGID": "1000_lf",
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"TABKEY": "tab1",
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"random": "0.07610353191740105",
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}
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headers = {
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"Referer": "https://fund.szse.cn/marketdata/fundslist/index.html",
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/88.0.4324.150 Safari/537.36",
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}
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r = requests.get(url, params=params, headers=headers)
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with warnings.catch_warnings(record=True):
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warnings.simplefilter("always")
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temp_df = pd.read_excel(r.content, engine="openpyxl", dtype={"基金代码": str})
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temp_df.rename(
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columns={
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"当前规模(份)": "基金份额",
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},
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inplace=True,
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)
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temp_df = temp_df[
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[
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"基金代码",
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"基金简称",
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"基金类别",
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"投资类别",
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"上市日期",
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"基金份额",
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"基金管理人",
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"基金发起人",
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"基金托管人",
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"净值",
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]
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]
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temp_df["上市日期"] = pd.to_datetime(temp_df["上市日期"], errors="coerce").dt.date
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temp_df["基金份额"] = (
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temp_df["基金份额"].astype(str).str.replace(",", "", regex=False)
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)
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temp_df["基金份额"] = pd.to_numeric(temp_df["基金份额"], errors="coerce")
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temp_df["净值"] = pd.to_numeric(temp_df["净值"], errors="coerce")
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return temp_df
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if __name__ == "__main__":
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fund_etf_scale_szse_df = fund_etf_scale_szse()
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print(fund_etf_scale_szse_df)
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