def METHOD_NAME(*, resp, **_):
    """
    Convert response for calling url to pandas dataframe,
    begin parsing df into FBA format
    :param resp: df, response from url call
    :return: pandas dataframe of original source data
    """
    # initiate dataframes list
    df_list = []
    # unzip folder that contains bls data in ~4000 csv files
    with zipfile.ZipFile(io.BytesIO(resp.content), "r") as f:
        # read in file names
        for name in f.namelist():
            # Only want state info
            if "singlefile" in name:
                data = f.open(name)
                df_state = pd.read_csv(data, header=0, dtype=str)
                df_list.append(df_state)
                # concat data into single dataframe
                df = pd.concat(df_list, sort=False)
                df = df[['area_fips', 'own_code', 'industry_code', 'year',
                         'annual_avg_estabs', 'annual_avg_emplvl',
                         'total_annual_wages']]
        return df