How to use contains function for two dataframes

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Python2.7

Jupyter

For example if a value from column b is in column a then print if value is present.

-URL_Sites_List.insert(2,'MetaData','',True)
Perform = Perform2.apply(lambda x: x.astype(str).str.lower())
URL_Sites_List.loc[URL_Sites_List['URL'].str.contains[Perform('Banyan Hill Publishing')], 'MetaData'] = 'Banyan Hill Publishing'



Can I use another method for this? if URL list contains a vlies from the dataframe perform('Banyan hill') the assign Banyan hill in the new column MetaData.

What I have tried:

for i, row in URL_Sites_List.iterrows():
    a = URL_Sites_List.loc[(Perform["Banyan Hill Publishing"] in URL_Sites_List['URL']),URL_Sites_List['MetaData']] = 'Banyan Hill Publishing'

also tried this,

a=Perform.iloc[:]
b=URL_Sites_List['URL'].iloc[:]

for i, row in b.iterrows:
    if a in b:
        print("Present")
    else:
        print("Not Present")