python用akshare批量爬取数据并保存为excel格式
爬取的网站为http://vip.stock.finance.sina.com.cn/mkt/#hs_a的历史数据
首先,确定好你 下载好了第三方模块akshare
下载代码:
pip install akshare -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com --upgrade
然后,创建一个名为aa的txt文件,文件内容为
sh603329
sh603330
sh603331
sh603332
sh603333
sh603335
sh603336
sh603337
sh603338
sh603339
sh603345
sh603348
sh603351
sh603353
sh603355
sh603356
sh603357
sh603358
sh603359
sh603360
sh603363
sh603365
sh603366
然后就可以运行python代码了!(这些全是历史数据)
import time
import akshare as ak
import pandas as pd
with open("aa.txt","r") as fp:
fp.readline()
for i in fp:
b = i.split()
stock_zh_a_daily_hfq_df = ak.stock_zh_a_daily(symbol=b[0], adjust="hfq")
a = stock_zh_a_daily_hfq_df
# 定义文件
file_name=b[0]+".xlsx"
writer = pd.ExcelWriter(file_name, encoding="utf-8-sig")
a.to_excel(writer, "sheet1")
writer.save()
print("数据保存成功")