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nonetype object has no attribute text error while scraping data

when i try to scrap data from this amazon link. I got AttributeError: 'NoneType' object has no attribute 'text'

My Code:

headers = ({'User-Agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:103.0) Gecko/20100101 Firefox/103.0',
       'Accept-Language' : 'en-US,en;q=0.5'})
lap_site = requests.get('https://www.amazon.in/s?k=laptops&sprefix=%2Caps%2C634&ref=nb_sb_ss_recent_3_0_recent',headers = headers)
lap_soup = bs(lap_site.content,'lxml')
content = lap_soup.find('div',class_ = 's-desktop-width-max s-desktop-content s-opposite-dir sg-row')
lap_detail_block = content.find_all('div',class_ = 'a-section a-spacing-small a-spacing-top-small')
lap_name = lap_price = lap_rating = []
for i in lap_detail_block:

   laptop_name = i.find('h2').a.span.text
   lap_name.append(laptop_name)

   laptop_rating = i.find('span',class_ = 'a-icon-alt').text
   lap_rating.append(laptop_rating)

   laptop_price = i.find('span',class_ = 'a-price-whole').text   
   lap_price.append(laptop_price)

laptop_details = {
'Laptop':lap_name,
'Price':lap_price,
'Rating':lap_rating }

print(laptop_details)

I think that the laptop_rating variable store the content in string format even if we not include .text. I’m thinking that might be the reason for getting NoneType error, as we are extracting text from text. Anyway that’s not the issue. How to extract the price or rating from that link?

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Answer

At least from my tests, that page is recognizing automated access and blocks it. You need to use something like cloudscraper to do it. The following code will return the expected results (adapt to your own circumstances):

import cloudscraper
import pandas as pd
from bs4 import BeautifulSoup

scraper = cloudscraper.create_scraper()

r = scraper.get('https://www.amazon.in/s?k=laptops&sprefix=%2Caps%2C634&ref=nb_sb_ss_recent_3_0_recent')
soup = BeautifulSoup(r.content, 'html.parser')
# print(soup)
content = soup.find('div',class_ = 's-desktop-width-max s-desktop-content s-opposite-dir sg-row')
lap_detail_block = content.find_all('div',class_ = 'a-section a-spacing-small a-spacing-top-small')
lap_name = lap_price = lap_rating = []
for i in lap_detail_block:
    try:
       laptop_name = i.find('h2').a.span.text
       lap_name.append(laptop_name)

       laptop_rating = i.find('span',class_ = 'a-icon-alt').text
       lap_rating.append(laptop_rating)

       laptop_price = i.find('span',class_ = 'a-price-whole').text   
       lap_price.append(laptop_price)

       laptop_details = {
        'Laptop':lap_name,
        'Price':lap_price,
        'Rating':lap_rating 
       }
       print(laptop_name, laptop_rating, laptop_price)
    except Exception as e:
        print(e)
    print('_____________')

This will print out in terminal:

HP 15s, 12th Gen Intel Core i5 8GB RAM/512GB SSD 15.6-inch(39.6 cm) FHD,Micro-Edge, Anti- Glare Display/Win 11/Intel Iris Xe Graphics/Dual Speakers/Alexa/Backlit KB/MSO/Fast Charge, 15s- fq5111TU 4.2 out of 5 stars 58,699
_____________
Acer Predator Helios 500 Gaming Laptop (11Th Gen Intel Core I9/17.3 Inches 4K Uhd Display/64Gb Ddr4 Ram/2Tb Ssd/1Tb HDD/RTX 3080 Graphics/Windows 10 Home/Per Key RGB Backlit Keyboard) Ph517-52 3.0 out of 5 stars 3,79,990
_____________
ASUS VivoBook 14 (2021), 14-inch (35.56 cm) HD, Intel Core i3-1005G1 10th Gen, Thin and Light Laptop (8GB/1TB HDD/Windows 11/Integrated Graphics/Grey/1.6 kg), X415JA-BV301W 3.8 out of 5 stars 27,990
_____________
[...]

Cloudscraper’s details and install instructions: https://pypi.org/project/cloudscraper/

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