Python Scraping web page with BeautifulSoup and requests Example

from bs4 import BeautifulSoup
import requests


url = "https://www.point2homes.com/MX/Real-Estate-Listings.html?LocationGeoId=&LocationGeoAreaId=&Location=San%20Felipe,%20Baja%20California,%20Mexico"

headers = {"User-Agent": "Mozilla/5.0","Content-Type": "application/json"}

page_scrape = requests.get(url, headers=headers)
soup = BeautifulSoup(page_scrape.content, 'html.parser')

lists = soup.find_all('article')

for list in lists:
    address = list.find('div', class_="address-container").text
    try:
        beds = list.find('li', class_="ic-beds").text
    except:
        print("Data Not Logged")
    try:
        baths = list.find('li', class_="ic-baths").text
    except:
        print("Data not logged")
    try:
        size = list.find('li', class_="ic-sqft").text
    except:
        print("Data not logged")
    type = list.find('li', class_="property-type ic-proptype").text
    price = list.find('span', class_="green").text
    agent = list.find('div', class_="agent-name").text

    firmstr = list.find('div', class_="agent-company")
    firm=''

    if firmstr is not None:
        spl_word = '>'
        firmstr2=str(firmstr)
        res = firmstr2.split(spl_word, 1)
        splitString = res[1]

        res2 = splitString.split('<', 1)
        splitString2 = res2[0]

        firm=splitString2


    info = [address, beds, baths, size, type, price, agent, firm]

    print(info);