python　スクレイピングについて

前提・実現したいこと

食べログサイトのスクレイピングを実施したいです。

実装中に以下のエラーメッセージが発生しました。

Traceback (most recent call last):
  File "C:/Users/90000/Desktop/chromedriver_win32/tabelog.py", line 144, in <module>
    df['area'] = elems_str_area_list
  File "C:\Users\90000\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\frame.py", line 3607, in __setitem__
    self._set_item(key, value)
  File "C:\Users\90000\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\frame.py", line 3779, in _set_item
    value = self._sanitize_column(value)
  File "C:\Users\90000\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\frame.py", line 4504, in _sanitize_column
    com.require_length_match(value, self.index)
  File "C:\Users\90000\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\common.py", line 531, in require_length_match
    raise ValueError(
ValueError: Length of values (0) does not match length of index (20)

該当のソースコード

import pandas as pd
import numpy as np
from bs4 import BeautifulSoup
import re
import requests
from selenium import webdriver
browser = webdriver.Chrome()

def get_info_str(url):
    browser.get(url)
    
    elems_str_info = browser.find_elements_by_class_name('rstinfo-table')
    elem_str_info = elems_str_info[0].text.split('\n')
    elem_df = pd.DataFrame()
    elem_df['elem'] = elem_str_info
    elem_df['number'] = list(range(0,len(elem_df)))
    
    # 住所取得
    try:
        elem_str_address = browser.find_elements_by_class_name('rstinfo-table__address')
        elem_str_address = elem_str_address[0].text
    except:
        elem_str_adress = "-"
    
    # 席数を取得
    try:
        chair_count = [x for x in elem_str_info if x.endswith('席')]
        chair_count = chair_count[0]
    except:
        chair_count = "-"
    
    # 定休日を取得
    try:
        i = elem_df.query('elem =="定休日"')['number'].max()+1
        regular_holiday = list(elem_df.query('number == {}'.format(i))['elem'])[0]
    except:
        regular_holiday = "-"
    
    # オープン日を取得
    try:
        i = elem_df.query('elem =="オープン日"')['number'].max()+1
        open_date = list(elem_df.query('number == {}'.format(i))['elem'])[0]
    except:
        open_date = "-"
    
    # 電話番号を取得
    try:
        i = elem_df.query('elem =="電話番号"')['number'].max()+1
        call_number = list(elem_df.query('number == {}'.format(i))['elem'])[0]
    except:
        call_number = "-"
    
    str_info = list()

    str_info.append(elem_str_address)
    str_info.append(chair_count)
    str_info.append(regular_holiday)
    str_info.append(open_date)
    str_info.append(call_number)
    
    return str_info


browser.get('https://tabelog.com/tokyo/')
elems_tabelog = browser.find_elements_by_class_name('list-rst__header')


str_name_list = list()

for x in elems_tabelog:
    elem_str = x.text.split()
    print(elem_str)

# ジャンルを取得
elems_genre_list = list()

for x in elems_tabelog:
    elem_genre = x.text.split('/')[1]
    elems_genre_list.append(elem_genre)
    print(elems_genre_list)
    

# 店名を取得
elems_str_name_list = list()

for x in elems_tabelog:
    elem_str_name = x.text.split('/')[0]
    elem_str_name = elem_str_name.split()
    #elem_str_name = elem_str_name[0:len(elem_str_name)-1]
    
    elem_str_name = elem_str_name[0:(len(elem_str_name)-2)]
    elem_str_name = ' '.join(elem_str_name)
    elems_str_name_list.append(elem_str_name)
    
# 評価を取得
elems_tabelog_score = browser.find_elements_by_class_name("list-rst__rate")
tabelog_score_list = list()

for x in elems_tabelog_score:
    tabelog_score = x.text.split()[0]
    
    tabelog_score_list.append(tabelog_score)
    
# エリアを取得
elems_str_area_list = list()

for x in elems_tabelog:
    elem_str_area = x.text.split('/')[0]
    elem_str_area = elem_str_area.split()[-2:]
    elem_str_area = elem_str_area[0] + elem_str_area[1]
    #elem_str_name = elem_str_name.split('')
    #elem_str_name = elem_str_name[0:len(elem_str_name)-1]
    
    elems_str_area_list.append(elem_str_area)
    
# 昼と夜の予算を取得
elems_tabelog_plan = browser.find_elements_by_class_name("list-rst__budget")

### 昼を取得
elem_tabelog_lunch_list = list()
for x in elems_tabelog_plan:
    tabelog_lunch = x.text.split()[3]
    elem_tabelog_lunch_list.append(tabelog_lunch)
### 夜を取得
elem_tabelog_dinner_list = list()
for x in elems_tabelog_plan:
    tabelog_dinner = x.text.split()[3]
    elem_tabelog_dinner_list.append(tabelog_dinner)

# ホームページ情報を取得
r = requests.get('https://tabelog.com/tokyo/') #requestsを使って、webから取得
soup = BeautifulSoup(r.text, 'lxml') #要素を抽出

page_list = list()

for a in soup.find_all(class_='list-rst__rst-name-target cpy-rst-name'):
    page_list.append(a.get('href'))  
    
df = pd.DataFrame()

df['genre'] = elems_genre_list
df['str_name'] = elems_str_name_list
df['str_score'] = tabelog_score_list
df['area'] = elems_str_area_list
df['lunch_plan'] = elem_tabelog_lunch_list
df['dinner_plan'] = elem_tabelog_dinner_list
df['str_url'] = page_list

str_list = list()
for i in range(len(df)):
    page_url = df['str_url'][i]
    print(page_url)
    
    list_x = get_info_str(page_url)
    list_x.append(page_url)    
    str_list.append(list_x)
    
str_df = pd.DataFrame(str_list)
str_df.columns = ['str_adress', 'chair_count', 'holiday', 'open_date', 'callnumber', 'str_url']

str_1 = pd.merge(df, str_df, how='left')