Search and match based on two conditions

I am using the code below to make a search on a .csv file and match a column in both files and grab a different column I want and add it as a new column. However, I am trying to make the match based on two columns instead of one. Is there a way to do this?

import pandas as pd
df1 = pd.read_csv("matchone.csv")
df2 = pd.read_csv("comingfrom.csv")

def lookup_prod(ip):
    for row in df2.itertuples():
        if ip in row[1]:
            return row[3]
    else:
        return '0'

df1['want'] = df1['name'].apply(lookup_prod)

df1[df1.want != '0']
print(df1)
#df1.to_csv('file_name.csv')

The code above makes a search from the column name 'samename' in both files and gets the colum I request ([3]) from the df2. I want to make the code make a match for both column 'name' and another column 'price' and only if both columns in both df1 and df2 matches then the code takes the value on ([3]).

df 1 :

name price value
a     10    35
b     10    21
c     10    33
d     10    20
e     10    88

df 2 :
name price want
a     10   123
b     5    222
c     10   944
d     10   104
e     5    213

When the code is run (asking for want column from d2, based on both if df1 name = df2 name) the produced result is :

name price value want
a     10    35   123
b     10    21   222
c     10    33   944
d     10    20   104
e     10    88   213

However, what I want is if both df1 name = df2 name and df1 price = df2 price, then take the column df2 want so desired result is:

name price value want
a     10    35   123
b     10    21    0
c     10    33   944
d     10    20   104
e     10    88    0