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.yellowpages.com/los-angeles-ca/dentists'

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


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


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

And when you run it.

python3 scrapeYellow.py

You can tell that the code is isolating the v-cards HTML.

On further inspection, you can see that the name of the place always has the class business-name. So let's try and retrieve that.

# -*- 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.yellowpages.com/los-angeles-ca/dentists'

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


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


for item in soup.select('.v-card'):
	try:
		print('----------------------------------------')
		print(item.select('.business-name')[0].get_text())

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

That will get us the names.

Bingo!

Now let's get the other data pieces.

# -*- 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.yellowpages.com/los-angeles-ca/dentists'

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


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


for item in soup.select('.v-card'):
	try:
		print('----------------------------------------')
		print(item.select('.business-name')[0].get_text())
		print(item.select('.rating div')[0]['class'])
		print(item.select('.rating div span')[0].get_text())

		print(item.select('.phone')[0].get_text())
		print(item.select('.adr')[0].get_text())
		#print(item.select('.business-name')[0].get_text())

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

And when run.

Produces all the info we need including ratings, reviews, phone, address, etc.

In more advanced implementations you will need to even rotate the User-Agent string so Yellow pages cant tell its the same browser!

If we get a little bit more advanced, you will realize that Yellow pages can simply block your IP ignoring all your other tricks. This is a bummer and this is where most web crawling projects fail.

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