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
42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2025/12/25 17:00
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Desc: 财新网-财新数据通
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https://cxdata.caixin.com/pc/
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"""
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import pandas as pd
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import requests
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def stock_news_main_cx() -> pd.DataFrame:
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"""
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财新网-财新数据通
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https://cxdata.caixin.com/pc/
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:return: 特定时间表示的字典
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:rtype: pandas.DataFrame
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"""
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url = "https://cxdata.caixin.com/api/dataplus/sjtPc/news"
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params = {
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"pageNum": "1",
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"pageSize": "100",
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"showLabels": "true",
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}
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headers = {
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36",
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"referer": "https://cxdata.caixin.com/index/newsTab?tab=latest",
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}
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r = requests.get(url, params=params, headers=headers)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["data"]["data"])
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temp_df = temp_df[["tag", "summary", "url"]]
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temp_df.columns = ["tag", "summary", "url"]
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temp_df.dropna(inplace=True)
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return temp_df
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if __name__ == "__main__":
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stock_news_main_cx_df = stock_news_main_cx()
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print(stock_news_main_cx_df)
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