ValueError: Length of values (1670) does not match length of index (1440)

I am trying to scrape data such as name, price, features, discount, ratings from flipkart website. It's getting scraped properly but when I am trying to convert it to the dataframe using pandas I am getting the error as ValueError: Length of values (1670) does not match length of index (1440). I am searching for mobiles and on the first page there are total of 24 results and additional 5 results are coming at the bottom. I checked the name field is taking 24 data but the price field is taking 29 additional 5 data also it's taking. What should I do so that it price fields does not takes up the bottom data. Below is my code:

import requests
from bs4 import BeautifulSoup
import pandas as pd
res = requests.get("https://www.flipkart.com/search?q=samsung+mobiles&sid=tyy%2C4io&as=on&as-show=on&otracker=AS_QueryStore_OrganicAutoSuggest_1_2_na_na_ps&otracker1=AS_QueryStore_OrganicAutoSuggest_1_2_na_na_ps&as-pos=1&as-type=RECENT&suggestionId=samsung+mobiles%7CMobiles&equestId=346f99ae-2791-4d89-b63a-2e4af06e0a63")
soup = BeautifulSoup(res.content, 'html.parser')

product=[]
price=[]
actual_price=[]
features=[]
discount=[]
rating=[]
stars=[]
lst = ['samsung', 'redmi', 'realme', 'vivo', 'motto']

n_pages = 0
for page in range(1, 15):
    n_pages+=1
    res = requests.get(f"https://www.flipkart.com/search?q={lst}+mobiles&sid=tyy%2C4io&as=on&as-show=on&otracker=AS_QueryStore_OrganicAutoSuggest_1_2_na_na_ps&otracker1=AS_QueryStore_OrganicAutoSuggest_1_2_na_na_ps&as-pos=1&as-type=RECENT&suggestionId=samsung+mobiles%7CMobiles&equestId=346f99ae-2791-4d89-b63a-2e4af06e0a63&page="+str(page))
    soup = BeautifulSoup(res.content, 'html.parser')
    mobile_data = soup.find_all("div", class_="_1YokD2")
    for data in mobile_data:
    
    product_= data.find_all("div", class_="_4rR01T")
    for i in product_:
        d=i.text
        product.append(d)
    
    price_ = data.find_all("div", class_="_30jeq3")
    for i in price_:
        d=i.text
        price.append(d)
    
    actual_price_ = data.find_all("div", class_="_3I9_wc")
    for i in actual_price_:
        d=i.text
        actual_price.append(d)

    features_ = data.find_all("ul", class_="_1xgFaf")
    for i in features_:
        d=i.text
        features.append(d)

    discount_ = data.find_all("span", class_="_3Ay6Sb")
    for i in discount_:
        d=i.text
        discount.append(d)

    rating_ = data.find_all("span", class_="_2_R_DZ")
    for i in rating_:
        d=i.text
        rating.append(d)

    stars_ = data.find_all("div", class_="_3LWZlK")
    for i in stars_:
        d=i.text
        stars.append(d)
df = pd.DataFrame()
df['product']=product
df['price']=price
df['actual_price']=actual_price
df['features']=features
df['discount']=discount
df['rating']=rating
df['stars']=stars

This is the error

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Input In [15], in <cell line: 3>()
      1 df['product']=product
      2 df['price']=price
----> 3 df['actual_price']=actual_price
      4 df['features']=features
      5 df['discount']=discount

File d:\datascience-main\datascience-main\ds\lib\site-packages\pandas\core\frame.py:3655, in DataFrame.__setitem__(self, key, value)
   3652     self._setitem_array([key], value)
   3653 else:
   3654     # set column
-> 3655     self._set_item(key, value)

File d:\datascience-main\datascience-main\ds\lib\site-packages\pandas\core\frame.py:3832, in DataFrame._set_item(self, key, value)
   3822 def _set_item(self, key, value) -> None:
   3823     """
   3824     Add series to DataFrame in specified column.
   3825 
   (...)
   3830     ensure homogeneity.
   3831     """
-> 3832     value = self._sanitize_column(value)
   3834     if (
   3835         key in self.columns
   3836         and value.ndim == 1
   3837         and not is_extension_array_dtype(value)
   3838     ):
   3839         # broadcast across multiple columns if necessary
   3840         if not self.columns.is_unique or isinstance(self.columns, MultiIndex):

File d:\datascience-main\datascience-main\ds\lib\site-packages\pandas\core\frame.py:4535, in DataFrame._sanitize_column(self, value)
   4532     return _reindex_for_setitem(value, self.index)
   4534 if is_list_like(value):
-> 4535     com.require_length_match(value, self.index)
   4536 return sanitize_array(value, self.index, copy=True, allow_2d=True)

File d:\datascience-main\datascience-main\ds\lib\site-packages\pandas\core\common.py:557, in require_length_match(data, index)
    553 """
    554 Check the length of data matches the length of the index.
    555 """
    556 if len(data) != len(index):
--> 557     raise ValueError(
    558         "Length of values "
    559         f"({len(data)}) "
    560         "does not match length of index "
    561         f"({len(index)})"
    562     )

ValueError: Length of values (1233) does not match length of index (1344)