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lm_code/websea/抓取价格.py

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2025-09-25 18:29:53 +08:00
import requests
import pandas as pd
headers = {
'accept': 'application/json, text/plain, */*',
'accept-language': 'zh,zh-CN;q=0.9,zh-HK;q=0.8,en;q=0.7',
'cache-control': 'no-cache',
'origin': 'https://www.websea.com',
'pragma': 'no-cache',
'priority': 'u=1, i',
'referer': 'https://www.websea.com/',
'sec-ch-ua': '"Chromium";v="140", "Not=A?Brand";v="24", "Google Chrome";v="140"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-site',
'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',
}
if __name__ == '__main__':
datas = []
import datetime
# 定义开始日期和结束日期
start_date = datetime.datetime(2025, 8, 28)
end_date = datetime.datetime(2025, 9, 26)
# 初始化当前日期为开始日期
current_date = start_date
# 循环遍历日期范围
while current_date <= end_date:
# 获取当天开始时刻00:00:00
start_of_day = current_date.replace(hour=0, minute=0, second=0, microsecond=0)
# 获取当天结束时刻23:59:59
end_of_day = current_date.replace(hour=23, minute=59, second=59, microsecond=0)
# 将开始时刻和结束时刻转换为时间戳
start_timestamp = start_of_day.timestamp()
end_timestamp = end_of_day.timestamp()
print(f"日期: {current_date.strftime('%Y.%m.%d')}")
print(f" 开始时刻时间戳: {start_timestamp}")
print(f" 结束时刻时间戳: {end_timestamp}")
params = {
'symbol': 'ETH-USDT',
'period': '1min',
'start': int(start_timestamp),
'end': int(end_timestamp),
}
response = requests.get('https://capi.websea.com/webApi/market/getKline', params=params, headers=headers)
# 提取数据
data = response.json()['result']['data']
print(data)
for i in data:
datas.append(i)
# 日期加一天
current_date += datetime.timedelta(days=1)
# 将数据转换为 DataFrame
df = pd.DataFrame(datas)
# 保存为 Excel 文件
df.to_excel('kline_data.xlsx', index=False)
print("数据已成功保存到 kline_data.xlsx 文件中。")