scraping

from bs4 import BeautifulSoup
import requests
import pandas as pd
import numpy as np
from time import sleep
from random import randint

###########################
# GET STARTING DATAFRAME
###########################

#Loop to go over all pages
pages = np.arange(1, 80, 1)
data=[]

for page in pages:
    page=requests.get("https://www.kijiji.ca/b-appartement-condo/ville-de-montreal/" +str(page)+/
        "/c37l1700281?radius=10.0&ad=offering&address=Montr%C3%A9al%2C+QC+H2W+1S8&ll=45.503905,-73.570856")
    soup = BeautifulSoup(page.text, 'html.parser')
    my_table = soup.find_all(class_=['price', 'distance', 'details'])
    sleep(randint(2,10))

    for tag in my_table:
        data.append(tag.text.strip())

#Creating columns
location = data[1::3]
size = data[2::3]
price = data[0::3]

df=pd.DataFrame()
df['size'] = size
df['distance_center'] = location
df['price'] = price