Home > Article > Backend Development > How to use Selenium to crawl web page data in Python
Web crawler is a very useful technique in Python programming, which allows you to automatically obtain data on web pages.
Selenium is an automated testing tool that can simulate user operations in the browser, such as clicking buttons, filling out forms, etc. Unlike commonly used crawler libraries such as BeautifulSoup and requests, Selenium can handle content dynamically loaded by JavaScript. Therefore, Selenium is a very suitable choice for data that needs to be obtained by simulating user interaction.
To use Selenium, you first need to install it. You can use the pip command to install the Selenium library:
pip install selenium
After the installation is complete, you also need to download a browser driver that works with Selenium. This article uses the Chrome browser as an example. You need to download the ChromeDriver corresponding to your Chrome browser version. Download address: sites.google.com/a/chromium.…
After downloading and decompressing, put the chromedriver.exe file into a suitable location and remember the location. We will need it later. used in the code.
The following is a simple example. We will use Selenium to crawl a web page and output the page title.
from selenium import webdriver # 指定chromedriver.exe的路径 driver_path = r"C:\path\to\chromedriver.exe" # 创建一个WebDriver实例,指定使用Chrome浏览器 driver = webdriver.Chrome(driver_path) # 访问目标网站 driver.get("https://www.example.com") # 获取网页标题 page_title = driver.title print("Page Title:", page_title) # 关闭浏览器 driver.quit()
Selenium can simulate various user operations in the browser, such as clicking buttons, filling out forms, etc. The following is an example where we will use Selenium to perform login operations on a website:
from selenium import webdriver from selenium.webdriver.common.keys import Keys driver_path = r"C:\path\to\chromedriver.exe" driver = webdriver.Chrome(driver_path) driver.get("https://www.example.com/login") # 定位用户名和密码输入框 username_input = driver.find_element_by_name("username") password_input = driver.find_element_by_name("password") # 输入用户名和密码 username_input.send_keys("your_username") password_input.send_keys("your_password") # 模拟点击登录按钮 login_button = driver.find_element_by_xpath("//button[@type='submit']") login_button.click() # 其他操作... # 关闭浏览器 driver.quit()
By combining various functions of Selenium, you can write a powerful web crawler to crawl data on various websites. However, please note that when crawling, you must abide by the robots.txt regulations of the target website and respect the website's data scraping policy. In addition, too frequent crawling may burden the website and even trigger the anti-crawling mechanism, so it is recommended to reasonably control the crawling speed.
For some websites with dynamically loaded content, we can use the explicit waiting and implicit waiting mechanisms provided by Selenium to ensure that the elements on the web page have been loaded. .
Explicit waiting refers to setting a specific waiting condition and waiting for an element to meet the condition within a specified time.
from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC driver_path = r"C:\path\to\chromedriver.exe" driver = webdriver.Chrome(driver_path) driver.get("https://www.example.com/dynamic-content") # 等待指定元素出现,最多等待10秒 element = WebDriverWait(driver, 10).until( EC.presence_of_element_located((By.ID, "dynamic-element-id")) ) # 操作该元素... driver.quit()
Implicit waiting is to set a global waiting time. If the element does not appear within this time, an exception will be thrown.
from selenium import webdriver driver_path = r"C:\path\to\chromedriver.exe" driver = webdriver.Chrome(driver_path) # 设置隐式等待时间为10秒 driver.implicitly_wait(10) driver.get("https://www.example.com/dynamic-content") # 尝试定位元素 element = driver.find_element_by_id("dynamic-element-id") # 操作该元素... driver.quit()
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