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Python 3 Yahoo Finance API to Export All Companies Financial Stock Market Data & Save as Excel File
865 views
Jun 1, 2025
Get the full source code of application here: https://codingshiksha.com/python/python-3-yahoo-finance-api-to-export-all-companies-financial-stock-data-save-as-excel-xlsx-file/
View Video Transcript
0:00
uh hello guys welcome to this video So
0:02
in this video I will show you a fi uh
0:04
python package which will actually fetch
0:07
the financial market stock market data
0:10
of all the top 100 companies in the
0:12
world It's using Yahoo Finance uh API
0:17
and it provides you a free module inside
0:19
Python where you can use this uh API in
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the background and fetch using the
0:24
technique of web scraping So the this is
0:27
actually the simple Python script It
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will save this all this data inside in
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this Excel file Here you will see the
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actual column names This is address of
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the company which is city state zip code
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country of the company phone number
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website as well It will also fetch the
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industry of the company As you can see
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here it is fetching all
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this companies here
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You'll see
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that all set of financial stock market
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data which is relevant here it all
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fetches for the top 100 companies here
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you will see that so let me show you the
1:06
package here uh this is uh y finance if
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you just go to the python website here
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just search for this package here pip
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install y finance just install this I've
1:16
already installed it and the second
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package is pandas which is used for data
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analysis also you need to install this
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as well by executing this command So I
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have given all the script in the
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description of the video So just now
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create a simple app py
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file and uh now first of all you need to
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import the necessary packages like this
1:39
yness as y Secondly we also need to
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import the pandas package And here you
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just need to create the tickers by which
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you actually this is shorthand notation
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for each company in the world
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So you can find for any company the
2:01
tickers value So I will just paste this
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inside this array
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So Google ticker is this shorthand form
2:09
like this Amazon this is Meta Nvidia So
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we'll see like this So you put this now
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and using these stickers value you will
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be fetching the financial stock market
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data So just create a simple data
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variable and we will be loop looping
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through this array here like
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this and using this ticker value we will
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be fetching the
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data using this package here Yahoo
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finance package it contains this
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function ticker and here you will pass
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your ticker value and grab the
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info So you can print out this data here
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So this will contain all the properties
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of the data that you
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want So here you will put the
3:11
exception So now if you if you see here
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if you execute this one by one it will
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fetch the data here You will see each
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set of data has is fetching here And now
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we just need to store this
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data inside Excel file rather than
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printing it out
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So what we will do after
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this fetching this right here we'll be
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storing
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it and we'll be appending this data
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here So like this after that we will
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convert all this data into a data frame
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by using the pandas library like this
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This is a function here which is data
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frame and passing this data to
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it Uh after that we just need to create
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a excel file For creating the excel file
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here we will use the pandas library once
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again So we'll just name this whatever
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you want to do this So let me just name
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it xls and this contains this function
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to excel we will convert this output
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file So now what happens so you it will
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go one by one using the ticker
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value It will fetch the data and then
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store this inside that Excel file So let
4:45
me just restart this once
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again It will do this for all the 100
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companies out there one by one
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So you just need to wait and after some
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time it will create that Excel file So
5:01
it will go through each company here 1 2
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3 So this for loop will run here 100
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times After 100 successful iterations it
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will create this Excel file and save
5:12
this inside your location So it's a very
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useful
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package You can do this unlimited number
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of time There is no such restriction out
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there using this package It uses Yahoo
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Finance API in the background to
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download the financial market
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data So it downloaded the latest
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data from this API Yahoo Finance
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API By the way this API is not free but
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this package allows you to use this for
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free Just getting this market data for
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completely free
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So you will see it has created this
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excel file and all the market data has
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been
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fetched all the properties here city
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state zip country phone number website
6:01
what is the industry of the company you
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can see it fetches all the
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data so if you need the full script here
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you can go to the description and copy
6:10
paste all the source code from my
6:12
website blog and thank you very much for
6:15
watching this video please hit that like
6:17
button subscribe the channel and also
6:19
Check out my website uh
6:21
freemediattools.com
6:23
uh which contains thousands of tools
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