Tesla price checker

tesla-inventory-price-scraper.py

'''
>tesla-inventory-price-scraper.py<
@Author: Maxwell Mowbray
@Email: [email protected]
@Date: April 2020
@Description:

This script scrapes Tesla's car inventory website and alerts the user if a car under a certain price appears.

It can easily be adapted to do other things with the results, such as alert you when a specific car with a specific trim/color/wheel size appears in inventory.

Usage: Go on tesla's inventory and search using the filters you are interested in. Copy the URL and add it to the urls[] array below, with an identifier (city or other)

Run the script. It will show a popup when a car under your price threshold is found.
'''

import json
import pprint
import time
import threading
import re

from datetime import datetime

from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.chrome.options import Options

def Mbox(title, text, style):
    return ctypes.windll.user32.MessageBoxW(0, text, title, style)

import ctypes  # An included library with Python install.

html = None

urls = {
    "Toronto": 'https://www.tesla.com/en_CA/inventory/new/m3?TRIM=SRPRWD,LRAWD,LRAWDP&arrangeby=plh&zip=M3A1C6&range=200',
    "Quebec City" : 'https://www.tesla.com/en_CA/inventory/new/m3?TRIM=SRPRWD,LRAWD,LRAWDP&arrangeby=plh&zip=G1N2G3&range=200',
    "Montreal" : 'https://www.tesla.com/en_CA/inventory/new/m3?TRIM=SRPRWD,LRAWD,LRAWDP&arrangeby=plh&zip=H1K&range=200',
}

results_container_selector = 'div.results-container.results-container--grid.results-container--has-results'
delay = 10  # seconds

priceThreshold = 55990

while True:

    for city in urls:

        try:

            print(datetime.now().strftime("%H:%M:%S") + " Searching Tesla's website in " + city)
            chrome_options = Options()
            chrome_options.add_argument("--headless")
            browser = webdriver.Chrome('C:/Users/mmowbray/Desktop/chromedriver.exe', options=chrome_options)
            browser.get(urls[city])

            # wait for results to be displayed
            WebDriverWait(browser, delay).until(
                EC.presence_of_element_located((By.CSS_SELECTOR, results_container_selector))
            )

        except TimeoutException:
            print('Loading took too much time!')
        else:
            html = browser.page_source
        finally:
            browser.quit()

        if html:
            soup = BeautifulSoup(html, 'lxml')
            cars = [];
            for car_html in soup.select_one(results_container_selector).findChildren('article'):

                car = {}

                car['price'] = int(re.sub('[^0-9]', '', car_html.select_one('section.result-header').select_one('div.result-pricing').select_one('h3').text.replace('$', '').replace(',', '')))
                car['colour'] = car_html.select('section.result-features.features-grid')[0].select('ul')[1].select('li')[0].text
                car['type'] = car_html.select_one('section.result-header').select_one('div.result-basic-info').select_one('h3').text
                car['trim'] = car_html.select_one('section.result-header').select_one('div.result-basic-info').select('div')[0].text
                car['mileage'] = int(car_html.select_one('section.result-header').select_one('div.result-basic-info').select('div')[1].text.replace('Less than ', '').replace(' km odometer', '').replace(',', ''))
                car['location'] = car_html.select_one('section.result-header').select_one('div.result-basic-info').select('div')[2].text
                car['wheels'] = re.sub('[^0-9]', '', car_html.select('section.result-features.features-grid')[0].select('ul')[1].select('li')[1].text) + " inch wheels"
                car['interior'] = car_html.select('section.result-features.features-grid')[0].select('ul')[1].select('li')[2].text

                if(car['price'] < priceThreshold):
                    cars.append(car)
                    threading.Thread(target=Mbox, args=('YOUR TESLA IS READY', 'There is a Tesla for sale for in ' + str(car['location']) + "\n\n Details: \n\n " + json.dumps(car), 1)).start()
                    print("FOUND A CAR for " + str(car['price']) + "$ in " + city)

            time.sleep(30) # seconds