Files
lm_code/websea/抓取价格.py
2025-09-25 18:29:53 +08:00

73 lines
2.3 KiB
Python
Raw Permalink Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

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。")