matching a row from 2 seperate dataframes and minimg a column

[randor]

Hello, ok, I have 2 dataframes, dataframe client is a master dataframe and dataframe aca is a partial list.
I need to match each item in DF aca to DF client then get the corresponding phone number thats on DF client and make it a 3rd DF so I can print it out. But I am not having much luck:

import os
import pandas as pd
from pandas.core.groupby.groupby import DataError
from xlrd import XLRDError
import xlrd
import numpy as np


full_data = "C:/Users/User/Downloads/ACA(4).xls"
full_data_2 = "C:/Users/User/Downloads/BCB(3).xls"

def grab_Client():
    try:
        wb = xlrd.open_workbook(full_data, logfile=open(os.devnull, 'w'))
        db = pd.read_excel(wb, engine='xlrd')

        db.columns = ["a",
                      "efin",
                      "id",
                      "lname",
                      "fname",
                      "f",
                      "g",
                      "h",
                      "i",
                      "phone1",
                      "phone2",
                      "l",
                      "m",
                      "n",
                      "o",
                      "p",
                      "q",
                      "r",
                      "s",
                      "t",
                      "u",
                      "v"]

        db = db.drop([0, 1, 2, 3, 4])

        return db

    except XLRDError as ex:
        print("ERROR: " + str(ex))

def grab_Extension():
    try:
        wb = xlrd.open_workbook(full_data_2, logfile=open(os.devnull, 'w'))
        db = pd.read_excel(wb, engine='xlrd')

        db.columns = ["a",
                      "efin",
                      "id",
                      "lname",
                      "fname",
                      "f",
                      "Status",
                      "h",
                      "i",
                      "j",
                      "k"]

        db = db.drop([0, 1, 2, 3, 4, 5])

        return db

    except XLRDError as ex:
        print("ERROR: " + str(ex))


client = grab_Client()
aca = grab_Extension()

aca = aca[aca.Status != 'EXTENSION']

aca['Phone1'] = aca['id'].mask(aca['id'] == client['id'], 0, client['phone1'])
aca['Phone1'] = np.where(aca['id'] == client['id'], 0, client['phone1'], aca['tin'])

aca.to_excel("output.xls", sheet_name='Sheet_name_1')

but hen I run this, i get THIS:

Error:
C:\Users\User\PycharmProjects\TW2020\venv\Scripts\python.exe C:/Users/User/PycharmProjects/TW2020/Comparison.py
Traceback (most recent call last):
  File "C:/Users/User/PycharmProjects/TW2020/Comparison.py", line 77, in <module>
    aca['Phone1'] = aca['id'].mask(aca['id'] == client['id'], 0, client['phone1'])
  File "C:\Users\User\PycharmProjects\TW2020\venv\lib\site-packages\pandas\core\ops\common.py", line 64, in new_method
    return method(self, other)
  File "C:\Users\User\PycharmProjects\TW2020\venv\lib\site-packages\pandas\core\ops\__init__.py", line 521, in wrapper
    raise ValueError("Can only compare identically-labeled Series objects")
ValueError: Can only compare identically-labeled Series objects