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
84 lines
2.4 KiB
Python
84 lines
2.4 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2022/11/27 13:30
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Desc: 美股目标价 or 港股目标价
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https://www.ushknews.com/report.html
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"""
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import requests
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import pandas as pd
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def stock_price_js(symbol: str = "us") -> pd.DataFrame:
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"""
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美股目标价 or 港股目标价
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https://www.ushknews.com/report.html
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:param symbol: choice of {"us", "hk"}
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:type symbol: str
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:return: 美股目标价 or 港股目标价
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:rtype: pandas.DataFrame
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"""
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url = "https://calendar-api.ushknews.com/getWebTargetPriceList"
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params = {
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"limit": "20",
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"category": symbol,
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}
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headers = {
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"accept": "application/json, text/plain, */*",
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"accept-encoding": "gzip, deflate, br",
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"accept-language": "zh-CN,zh;q=0.9,en;q=0.8",
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"cache-control": "no-cache",
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"origin": "https://www.ushknews.com",
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"pragma": "no-cache",
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"referer": "https://www.ushknews.com/",
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"sec-ch-ua": '"Google Chrome";v="107", "Chromium";v="107", "Not=A?Brand";v="24"',
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": '"Windows"',
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"sec-fetch-dest": "empty",
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"sec-fetch-mode": "cors",
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"sec-fetch-site": "same-site",
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36",
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"x-app-id": "BNsiR9uq7yfW0LVz",
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"x-version": "1.0.0",
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}
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r = requests.get(url, params=params, headers=headers)
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json_data = r.json()
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temp_df = pd.DataFrame(json_data["data"]["list"])
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temp_df.columns = [
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"_",
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"_",
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"评级",
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"_",
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"最新目标价",
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"先前目标价",
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"机构名称",
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"日期",
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"_",
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"个股名称",
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"_",
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"_",
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]
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temp_df = temp_df[
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[
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"日期",
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"个股名称",
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"评级",
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"先前目标价",
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"最新目标价",
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"机构名称",
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]
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]
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temp_df["日期"] = pd.to_datetime(temp_df["日期"]).dt.date
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temp_df["先前目标价"] = pd.to_numeric(temp_df["先前目标价"], errors="coerce")
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temp_df["最新目标价"] = pd.to_numeric(temp_df["最新目标价"], errors="coerce")
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return temp_df
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if __name__ == "__main__":
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stock_price_js_df = stock_price_js(symbol="us")
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print(stock_price_js_df)
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stock_price_js_df = stock_price_js(symbol="hk")
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print(stock_price_js_df)
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