Tesla price watcher 2023

tesla_price_watcher.py

from celery import shared_task
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from django.core.mail import send_mail

from django.conf import settings

TESLA_URL = 'https://www.tesla.com/en_CA/inventory/new/my?TRIM=LRAWD&PAINT=BLACK&ADL_OPTS=TOWING&arrangeby=plh&zip=h4r0j1&range=200'

def watch_tesla():
    # test using Chrome Selenium
    options = webdriver.ChromeOptions()
    options.add_argument('--no-sandbox')
    options.add_argument('--headless')
    options.add_argument('--ignore-certificate-errors')
    options.add_argument('--disable-dev-shm-usage')
    options.add_argument('--disable-extensions')
    options.add_argument('--disable-gpu')
    user_agent = 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.50 Safari/537.36'
    options.add_argument('user-agent={0}'.format(user_agent))

    driver = webdriver.Chrome(options=options)
    driver.set_page_load_timeout(90)

    # Load the URL and get the page source
    driver.get(TESLA_URL)

    car_prices = []

    try:
        results_container = WebDriverWait(driver, 100).until(
            EC.presence_of_element_located((By.CLASS_NAME, "results-container"))
        )

        car_sections = results_container.find_elements(By.CLASS_NAME, "result-header")

        # Now you can iterate over these article elements and perform any actions you desire.
        for car_section in car_sections:

            car_price_str = car_section.find_element(By.CLASS_NAME, "result-purchase-price").get_attribute("innerHTML")
            car_price = int(car_price_str.replace('$', '').replace(',', ''))
            car_prices.append(car_price)

            if car_price < 73290:
                send_mail(
                    'Model Y for sale gucci price',  # Subject of the email
                    f'There is a model Y for sale for {car_price_str}!',  # Message body
                    settings.EMAIL_HOST_USER,  # From email address (sender)
                    ['[email protected]'],  # List of recipient email addresses
                    fail_silently=False,  # Set to True to suppress exceptions if sending fails
                )
    finally:
        driver.quit()

    return car_prices

Hi how can we get the item link for this price?

It would be some expression like:

carsection.getelement(By.Id, “link_button”).href

this is just pseudo code, you can use ChatGPT you get the exact expression if you give it the HTML of a car section :)

sorry what is the expected result when i run this code ? will it email if i update [email protected] to my email address ? I ran this is jupyter notebooks but got no results , first time trying something like this

sorry what is the expected result when i run this code ? will it email if i update mail edited to my email address ? I ran this is jupyter notebooks but got no results , first time trying something like this

in a very broad way: yes. but if you do not call the watch_tesla function, the script will not do anything. furthermore, you will need to set some more configurations and maybe code fixes, which are not explicitly documented. this script is not very beginner-friendly.

@mmowbray Great job. I am running a modified version on the german website of tesla now. Added some features like uploading the scraping results to google sheets. currently cars come and go frequently here. maybe one can find some kind of pattern ;)

@bjv Sehr gut!

Glad to see this is helping people out!!!