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Tesla price checker
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| ''' | |
| >tesla-inventory-price-scraper.py< | |
| @Author: Maxwell Mowbray | |
| @Email: mmowbray@mentlegen.com | |
| @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 |
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