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191 lines
6.0 KiB
191 lines
6.0 KiB
from selenium import webdriver
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from selenium_stealth import stealth
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from bs4 import BeautifulSoup
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import time
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import os
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import requests
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import pickle
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from secrets import tesla_login
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# Step 0: Indicate which manual you plan to scrape, currently set to Model 3
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service_manual_index = "https://service.tesla.com/docs/Model3/ServiceManual/en-us/index.html"
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# Step 1: Set up the webdriver
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options = webdriver.ChromeOptions()
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# You can run this in headless mode, but it is not advised because Tesla might kick you out after ~250 pages or so
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# options.add_argument("--headless")
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options.add_experimental_option("excludeSwitches", ["enable-automation"])
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options.add_experimental_option('useAutomationExtension', False)
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driver = webdriver.Chrome(options=options, executable_path=r"chromedriver.exe")
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stealth(driver,
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languages=["en-US", "en"],
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vendor="Google Inc.",
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platform="Win32",
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webgl_vendor="Intel Inc.",
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renderer="Intel Iris OpenGL Engine",
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fix_hairline=True,
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)
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# Step 2: Login to Tesla
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driver = tesla_login(driver)
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# Step 3: Get to the index page
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driver.get(service_manual_index)
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time.sleep(10)
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window1 = driver.window_handles[1]
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driver.switch_to.window(window1)
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source = driver.find_element_by_css_selector("html").get_attribute('outerHTML')
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os.makedirs(os.path.dirname('docs/index.html'), exist_ok=True)
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with open('docs/index.html', 'w', encoding='utf-8') as f:
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f.write(source)
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visited_urls = ['index.html']
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banned_urls = []
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upcoming_urls = []
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img_urls = []
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visited_img_urls = []
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soup = BeautifulSoup(source, 'html.parser')
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for link in soup.find_all('a'):
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if link.get('href') not in visited_urls and link.get('href') not in banned_urls and link.get('href') not in upcoming_urls:
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if link.get('href').startswith('GUID') and link.get('href').endswith('.html'):
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upcoming_urls.append(link.get('href'))
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for img in soup.find_all('img'):
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if img.get('src') not in img_urls:
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img_urls.append(img.get('src'))
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# Step 4: Set up Python pickle to save session. You can stop the script and run it again to resume where you left off.
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try:
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pickle_in = open("dict.pickle","rb")
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url_dict = pickle.load(pickle_in)
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visited_urls = url_dict['visited_urls']
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banned_urls = url_dict['banned_urls']
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upcoming_urls = url_dict['upcoming_urls']
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img_urls = url_dict['img_urls']
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except:
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pickle_out = open("dict.pickle","wb")
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pickle.dump({
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'visited_urls': visited_urls,
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'banned_urls': banned_urls,
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'upcoming_urls': upcoming_urls,
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'img_urls': img_urls,
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'visited_img_urls': visited_img_urls
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}, pickle_out)
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pickle_out.close()
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print("****** SESSION SAVED ******")
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# Step 5: Loop to get all the html pages, and store information about images to be downloaded later.
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while upcoming_urls:
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for url in upcoming_urls:
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if len(visited_urls) % 50 == 0:
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pickle_out = open("dict.pickle","wb")
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pickle.dump({
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'visited_urls': visited_urls,
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'banned_urls': banned_urls,
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'upcoming_urls': upcoming_urls,
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'img_urls': img_urls,
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'visited_img_urls': visited_img_urls
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}, pickle_out)
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pickle_out.close()
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print("****** SESSION SAVED ******")
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if url.startswith('GUID') and url.endswith('.html'):
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driver.get('https://service.tesla.com/docs/Model3/ServiceManual/en-us/' + url)
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else:
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upcoming_urls.remove(url)
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continue
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source = driver.find_element_by_css_selector("html").get_attribute('outerHTML')
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with open('docs/' + url, 'w', encoding='utf-8') as f:
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f.write(source)
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visited_urls.append(url)
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upcoming_urls.remove(url)
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print("visited: " + str(len(visited_urls)))
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print("upcoming: " + str(len(upcoming_urls)))
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print("images: " + str(len(set(img_urls))))
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soup = BeautifulSoup(source, 'html.parser')
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for link in soup.find_all('a'):
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if link.get('href') not in visited_urls and link.get('href') not in banned_urls and link.get('href') not in upcoming_urls:
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if link.get('href').startswith('GUID') and link.get('href').endswith('.html'):
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upcoming_urls.append(link.get('href'))
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for img in soup.find_all('img'):
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if img.get('src') not in img_urls:
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img_urls.append(img.get('src'))
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# Step 6: Save session after all html files collected
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pickle_out = open("dict.pickle","wb")
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pickle.dump({
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'visited_urls': visited_urls,
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'banned_urls': banned_urls,
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'upcoming_urls': upcoming_urls,
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'img_urls': img_urls,
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'visited_img_urls': visited_img_urls
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}, pickle_out)
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pickle_out.close()
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print("****** SESSION SAVED ******")
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# Step 7: Clean image URLs
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for url in img_urls:
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if not isinstance(url, str):
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img_urls.remove(url)
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elif not url.startswith('GUID'):
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img_urls.remove(url)
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# Step 8: Sanity check on image URLs
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for url in img_urls:
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if url.endswith('jpg'):
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continue
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elif url.endswith('png'):
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continue
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elif url.endswith('gif'):
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continue
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print(url)
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number_of_images = len(set(img_urls))
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number_of_images_downloaded = 0
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# Step 9: Download images with direct requests
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headers = {
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"User-Agent":
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"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/44.0.2403.157 Safari/537.36"
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}
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s = requests.session()
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s.headers.update(headers)
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for url in set(img_urls):
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if url not in visited_img_urls:
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if number_of_images_downloaded % 200 == 0:
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pickle_out = open("dict.pickle","wb")
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pickle.dump({
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'visited_urls': visited_urls,
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'banned_urls': banned_urls,
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'upcoming_urls': upcoming_urls,
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'img_urls': img_urls,
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'visited_img_urls': visited_img_urls
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}, pickle_out)
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pickle_out.close()
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print("****** SESSION SAVED ******")
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for cookie in driver.get_cookies():
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c = {cookie['name']: cookie['value']}
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s.cookies.update(c)
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r = s.get('https://service.tesla.com/docs/Model3/ServiceManual/en-us/' + url, allow_redirects=True)
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open("docs/" + url, 'wb').write(r.content)
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visited_img_urls.append(url)
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print("images: " + str(number_of_images))
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print("downloaded: " + str(number_of_images_downloaded))
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number_of_images_downloaded += 1
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time.sleep(25)
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driver.quit() |