How to insert value of a column from one dataframe into other using df.isin?

Question

I have two dataframes. df1 as

company_id | URL          | found_keywords | no of urls | company name
IQ137156215 [list of urls]  insurance         15            BBT
IQ3806173   [list of urls]  insurance         9             Audi

df2 as

company name | website       | Excel company id
Honda          www.honda.com   HO23455
BBT            www.bbtgrp.com  IQ137156215
Yamaha         www.yamaha.com  YM126736
Audi           www.audi.com    IQ3806173

based on these two dataframe's I would like to have a few records from df2 in df1 where company id from df2 is not in df1. Like this

company_id | URL          | found_keywords | no of urls | company name
IQ137156215 [list of urls]  insurance         15            BBT
IQ3806173   [list of urls]  insurance         9             Audi
HO23455     [list of urls]  insurance         4             Honda
YM126736    NaN              NaN              0             Yamaha

using np.where I tried to check if a column's value of a dataframe is present in another. If it is then it simply adds it. here is how I tried it.

np.where(df2['Excel Company ID'].isin(df1['company_id']), df2['Excel Company ID'], "")

which resulted in a

ValueError: Length of values (220) does not match length of index (4)

how do I achieve the task? Please help me out. Thanks!