Python seleniumでスクレイピング

import os
from selenium.webdriver import Chrome, ChromeOptions
import time
import pandas as pd
from selenium.common.exceptions import NoSuchElementException
import csv
import numpy as np
import logging
import logging.handlers
import logging.config
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager

# Chromeを起動する関数をここに本来記載しております
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        ##########スクレイピング処理##########
        # dataframe空箱作成
        df = pd.DataFrame(index=[], columns=[])
        # 企業名を格納
        company_list = []
        # 検索結果の企業の初任給を取得
        starting_salary_list = []
        #　スクレイピング開始を表示
        text = "scraping now"
        page = 0

        while True:# ページ終了まで繰り返し
            p = len(driver.find_elements_by_link_text("次へ"))
            if  p > 0:


                # そのページの企業数を格納する
                page_count = []
                # クラス名から企業名を取得
                name_list = driver.find_elements_by_class_name("cassetteRecruit__name")

                # 1ページ分繰り返し会社名を取得し、企業数を把握する
                for name in name_list:
                    company_list.append(name.text)
                    page_count.append(name.text)

                l = (len(page_count))
                print(l)
                print(text)
                print(company_list)

                for i in range(1, l, 1):

                    target1 = "/html/body[@class='js__modal']/div[@class='wrapper']/div[@class='container'][1]/form/div[@class='container__inner']/div[@class='cassetteRecruit']["+str(i)+"]/div[@class='cassetteRecruit__content']/div[@class='cassetteRecruit__detail']/div[@class='cassetteRecruit__main']/table[@class='tableCondition']/tbody/tr[5]/td[@class='tableCondition__body']"
                    salary = driver.find_elements_by_xpath(target1)
                    for sa in salary:
                        starting_salary_list.append(sa.text)


                driver.find_element_by_link_text("次へ").click()
                page = page + 1
                logger.info(F"{page}ページ目終了")
                time.sleep(5)

            else:
                CompanySeries = pd.Series(company_list)
                SalarySeries = pd.Series(starting_salary_list)
                df = pd.concat([df, CompanySeries, SalarySeries], axis=1)
                df.columns=["企業名", "初任給"]
                df.to_csv('mynavi03.csv', encoding='utf-8_sig', mode="a")
                text = "finish"
                print(text)
                driver.quit()

    except:
        logging.info("info")
        logging.error("error")
        logging.debug("debug")
        pass