We could just use this to break the HTML document into these cards, which contain individual item information like this.

# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests

headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'}
url = 'https://www.amazon.com/s?k=shampoo&ref=nb_sb_noss_1'

response=requests.get(url,headers=headers)


soup=BeautifulSoup(response.content,'lxml')

#print(soup.select('.a-carousel-card')[0].get_text())

for item in soup.select('.a-carousel-card'):
	try:
		print(item)

		print('----------------------------------------')
	except Exception as e:
		#raise e
		print('')

And when you run it.

python3 PriceTracker.py

You can tell that the code is isolating the cards HTML, as seen below.

On further inspection, you can see that the Title of the product is always in the tag. So the code below will get us the text in the

tag.

print(item.select('h2')[0].get_text().strip())

Further, we can find similar clues to get the price, which seems to be inside a tag with class a-price and a span inside it with a class name a-offscreen. We query it like this.

print(item.select('.a-price .a-offscreen')[0].get_text())

I was putting the whole thing together.

# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests

headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'}
url = 'https://www.amazon.com/s?k=shampoo&ref=nb_sb_noss_1'

response=requests.get(url,headers=headers)


soup=BeautifulSoup(response.content,'lxml')

#print(soup.select('.a-carousel-card')[0].get_text())

for item in soup.select('.a-carousel-card'):
	try:
		print('----------------------------------------')
		print(item.select('h2')[0].get_text().strip())
		print(item.select('.a-price .a-offscreen')[0].get_text())
		print(item.select('.a-text-price .a-offscreen')[0].get_text())

		print(item.select('.a-size-base.a-color-secondary')[0].get_text())

		print('----------------------------------------')
	except Exception as e:
		#raise e
		print('')

And when we run this with

python3 PriceTracker.py

We get.

The name, price, the 'original price,' quantity info.

You can now save this to a DB and run this script every day or every hour as needed.

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