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用 Python 爬取股票实时数据 ​

py
import requests
import json
import os

# 单个页面请求
# json_url = "http://48.push2.eastmoney.com/api/qt/clist/get?cb=jQuery112402508937289440778_1658838703304&pn=1&pz=20&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"
# res = requests.get(json_url)
# result = res.text.split("jQuery112402508937289440778_1658838703304")[1].split("(")[1].split(");")[0]
# result_json = json.loads(result)
# print(result_json)

# 股票数据都在data.diff下面

def save_data(data, date):
    file_name = r'data/stock_data_%s.csv' % date

    file_exists = True
    if not os.path.exists(file_name):
        file_exists = False

    with open(file_name, "a+", encoding='utf-8') as f:
        if not file_exists:
            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')
        



for i in range(1, 100):
    print("抓取网页%s" % str(i))
    url = "http://48.push2.eastmoney.com/api/qt/clist/get?cb=jQuery112402508937289440778_1658838703304&pn=%s&pz=20&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)
    stock_data = result_json['data']['diff']
    print('stock_data')
    print(stock_data)
    save_data(stock_data, '2023-05-19')