Python: Transform ISIN, WKN or RIC to Yahoo Ticker Symbol?

Based on this post here, I have the possibility to transform the ISIN to some form ticker symbol with help of library investpy. This transformation is correct for most of united states stocks.

But this symbol itself is not in any case the same as the ticker-symbol I need to call pandas_dataframe. I think more exactly it conforms the RIC-symbol (e.g. look here).

For example if I try the following call:

import investpy

df = investpy.stocks.search_stocks(by='isin', value='DE0006048432')
print(df)

My output is:

       country        name  ... currency     symbol
0      germany  Henkel VZO  ...      EUR     HNKG_p
1        italy  Henkel VZO  ...      EUR     HNKG_p
2  switzerland  Henkel VZO  ...      EUR  HNKG_pEUR

but

from pandas_datareader import data as pdr

stock = pdr.DataReader('HNKG_p', data_source="yahoo", start="2021-01-01", end="2021-10-30")

gives me an error.

The correct call I need is:

stock = pdr.DataReader('HEN3.DE', data_source="yahoo", start="2021-01-01", end="2021-10-30")

So my question is:

• is there a way to transform an ISIN, maybe WKN or also RIC to the ticker-symbol yahoo needs for DataReader call.

Or more general

• Is there a way to get historical stock data with the knowledge of ISIN, maybe WKN or RIC?

Super ugly and error prone but better than nothing:

import investpy as ip
import yahooquery as yq
from pandas_datareader import data as pdr

company_name = ip.stocks.search_stocks(by='isin', value='DE0006048432')
company_name = company_name["name"][0].split(' ')[0]
symbol = yq.search(company_name)["quotes"][0]["symbol"]
stock = pdr.DataReader(symbol, data_source="yahoo", start="2021-01-01", end="2021-10-30")

You could extend this code using things like fuzzywuzzy and an ordinary testing module with doctest. Do not use this code in production.

I am not even sure if this call keeps the order of the returned values:

yq.search(company_name)["quotes"]

So this code might actually behave randomly but it might give you a direction.