In [39]: import pandas_datareader.data as web

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In [40]: import pandas as pd

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In [41]: import datetime as dt

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In [42]: df = web.DataReader('GE', 'yahoo', start='2019-09-10', end='2019-10-09')

​

In [43]: df.head()

Out[43]: 

            High   Low  Open  Close      Volume  Adj Close

Date                                                      

2019-09-10  9.27  8.90  8.91   9.14  62617200.0   9.062220

2019-09-11  9.36  9.06  9.15   9.36  57094900.0   9.280347

2019-09-12  9.52  9.22  9.40   9.26  68115100.0   9.181198

2019-09-13  9.45  9.14  9.31   9.34  45589400.0   9.270529

2019-09-16  9.42  9.17  9.30   9.38  45748400.0   9.310231

​

In [44]: start = dt.datetime(2010, 1, 29)

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In [45]: end = dt.datetime.today()

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In [46]: actions = web.DataReader('GOOG', 'yahoo-actions', start, end)

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In [47]: actions.head()

Out[47]: 

           action     value

2015-04-27  SPLIT  0.997262

2014-03-27  SPLIT  0.499500

​

In [48]: dividends = web.DataReader('IBM', 'yahoo-dividends', start, end)

​

In [49]: dividends.head()

Out[49]: 

              action  value

2021-05-07  DIVIDEND   1.64

2021-02-09  DIVIDEND   1.63

2020-11-09  DIVIDEND   1.63

2020-08-07  DIVIDEND   1.63

2020-05-07  DIVIDEND   1.63

pip install pandas-datareader

​