How to Scrape Rentals Websites Using BeautifulSoup and Python?
Web scraping using BeautifulSoup and data wrangling using Pandas to discuss generated insights. Would renting a condo or apartment in Etobicoke, North York, or Mississauga be considerably cheaper than having one in downtown Toronto? How do suburb's rents compare to the Toronto city’s rents? How much can you potentially save if you have rented a basement unit? Which suburbs have the lowest rent rates? Browsing manually using listings on rental websites can be very time-consuming. So, the better option is to scrape rental websites using web scraping Python as well as analyze that to get answers to all your questions. Scraping Rental Website Data through Web scraping using BeautifulSoup and Python We have decided to extract data from TorontoRentals.com with Python and BeautifulSoup. This website has lists for Toronto as well as many suburbs like Brampton, Scarborough, Mississauga, Vaughan, etc. This has various kinds of listings like apartments, houses, condos, as well as basements.