Zoocasa Web Scraper

Overview: What we I am trying to achieve is to populate a localhost PostgeSQL 11 database with pertinent key house listings data from zoocasa.com. This script will be run as a cron job daily to scrape the unique listings on the Zoocasa->Buy->New Listings page. ----------------------------------------------------------- Need to know: -Python (with BeautifulSoup or similar web-scraping package installed) -SQL ------------------------------------------------------------ The following fields need to be inserted into the (3 table database: Overview (table 1: Listing) -List Price -Number of Beds -Number of Baths -Date Added Details (table 1: Listing) -MLS Number -Type -Levels -Size -Days Active -Taxes -Laundry Level -Central Vac -Fireplace -Acreage -Lot Size Building (table 1: Listing) -Exterior -Garage -Approx. Age -Basement -Driveway -Garage Spaces Utilities (table 1: Listing) -Heat -A/C -Heating Fuel Price History (table 2: PriceHistory) -List Date -List Price -Type -Status -Date -Sold Price Extras (table 1: Listing) -Description Nearby Schools (table 3: NearbySchools) -Address -Rating ------------------------------------------------------------ Best practice should be followed for project.