python爬取股票数据

import json
import os
import requests
import time


def save_data(data, date):
    if not os.path.exists(r'stock_data_%s.csv' % date):
        with open("stock_data_%s.csv" % date, "a+", encoding='gbk') as f:
            f.write("股票代码,股票名称,最新价,涨跌幅,涨跌额,成交量（手）,成交额,振幅,换手率,市盈率,量比,最高,最低,今开,昨收,市净率\n")
            for i in data:
                Code = i["f12"]
                Name = i["f14"]
                Close = i['f2']
                ChangePercent = i["f3"]
                Change = i['f4']
                Volume = i['f5']
                Amount = i['f6']
                Amplitude = i['f7']
                TurnoverRate = i['f8']
                PERation = i['f9']
                VolumeRate = i['f10']
                Hign = i['f15']
                Low = i['f16']
                Open = i['f17']
                PreviousClose = i['f18']
                PB = i['f22']
                row = '{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{}'.format(
                    Code, Name, Close, ChangePercent, Change, Volume, Amount, Amplitude,
                    TurnoverRate, PERation, VolumeRate, Hign, Low, Open, PreviousClose, PB)
                f.write(row)
                f.write('\n')
    else:
        ...


times = time.time()
local_time = time.localtime(times)


def main():
    data = []
    for i in range(1, 100):
        url = "http://48.push2.eastmoney.com/api/qt/clist/get?cb=jQuery112402508937289440778_1658838703304&pn=%s&pz" \
              "=200&po=1&np=1&ut=bd1d9ddb04089700cf9c27f6f7426281&fltt=2&invt=2&wbp2u=|0|0|0|web&fid=f3&fs=m:0+t:6," \
              "m:0+t:80,m:1+t:2,m:1+t:23,m:0+t:81+s:2048&fields=f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f12,f13,f14,f15,f16," \
              "f17,f18,f20,f21,f23,f24,f25,f22,f11,f62,f128,f136,f115,f152&_=1658838703305" % str(i)
        res = requests.get(url)
        result = res.text.split("jQuery112402508937289440778_1658838703304")[1].split("(")[1].split(");")[0]
        result_json = json.loads(result)
        if result_json['data'] is None:
            break
        stock_data = result_json['data']['diff']
        data.extend(stock_data)
    save_data(data, time.strftime("%Y-%m-%d", local_time))

main()