gfrdegdergr
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websea/kline_data.xlsx
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websea/kline_data.xlsx
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websea/main.py
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websea/main.py
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from curl_cffi import requests
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class WebSea:
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def __init__(self):
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self.session = requests.Session()
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self.url = "https://coapi.websea.com"
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def wallet_list(self):
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self.session.get(
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url=f"{self.url}/openApi/wallet/list"
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)
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if __name__ == '__main__':
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url = "https://coapi.websea.com"
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websea/抓取价格.py
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websea/抓取价格.py
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import requests
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import pandas as pd
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headers = {
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'accept': 'application/json, text/plain, */*',
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'accept-language': 'zh,zh-CN;q=0.9,zh-HK;q=0.8,en;q=0.7',
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'cache-control': 'no-cache',
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'origin': 'https://www.websea.com',
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'pragma': 'no-cache',
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'priority': 'u=1, i',
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'referer': 'https://www.websea.com/',
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'sec-ch-ua': '"Chromium";v="140", "Not=A?Brand";v="24", "Google Chrome";v="140"',
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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/140.0.0.0 Safari/537.36',
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}
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if __name__ == '__main__':
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datas = []
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import datetime
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# 定义开始日期和结束日期
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start_date = datetime.datetime(2025, 8, 28)
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end_date = datetime.datetime(2025, 9, 26)
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# 初始化当前日期为开始日期
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current_date = start_date
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# 循环遍历日期范围
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while current_date <= end_date:
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# 获取当天开始时刻(00:00:00)
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start_of_day = current_date.replace(hour=0, minute=0, second=0, microsecond=0)
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# 获取当天结束时刻(23:59:59)
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end_of_day = current_date.replace(hour=23, minute=59, second=59, microsecond=0)
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# 将开始时刻和结束时刻转换为时间戳
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start_timestamp = start_of_day.timestamp()
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end_timestamp = end_of_day.timestamp()
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print(f"日期: {current_date.strftime('%Y.%m.%d')}")
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print(f" 开始时刻时间戳: {start_timestamp}")
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print(f" 结束时刻时间戳: {end_timestamp}")
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params = {
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'symbol': 'ETH-USDT',
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'period': '1min',
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'start': int(start_timestamp),
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'end': int(end_timestamp),
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}
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response = requests.get('https://capi.websea.com/webApi/market/getKline', params=params, headers=headers)
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# 提取数据
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data = response.json()['result']['data']
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print(data)
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for i in data:
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datas.append(i)
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# 日期加一天
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current_date += datetime.timedelta(days=1)
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# 将数据转换为 DataFrame
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df = pd.DataFrame(datas)
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# 保存为 Excel 文件
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df.to_excel('kline_data.xlsx', index=False)
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print("数据已成功保存到 kline_data.xlsx 文件中。")
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