IP | Country | PORT | ADDED |
---|---|---|---|
50.175.212.79 | us | 80 | 3 minutes ago |
125.228.143.207 | tw | 4145 | 3 minutes ago |
212.31.100.138 | cy | 4153 | 3 minutes ago |
50.168.72.118 | us | 80 | 3 minutes ago |
125.228.94.199 | tw | 4145 | 3 minutes ago |
50.172.88.212 | us | 80 | 3 minutes ago |
50.239.72.17 | us | 80 | 3 minutes ago |
50.223.246.236 | us | 80 | 3 minutes ago |
50.207.199.87 | us | 80 | 3 minutes ago |
50.145.138.156 | us | 80 | 3 minutes ago |
190.58.248.86 | tt | 80 | 3 minutes ago |
50.171.122.27 | us | 80 | 3 minutes ago |
192.252.220.92 | us | 17328 | 3 minutes ago |
50.168.72.113 | us | 80 | 3 minutes ago |
50.168.72.116 | us | 80 | 3 minutes ago |
41.207.187.178 | tg | 80 | 3 minutes ago |
50.54.244.10 | us | 80 | 3 minutes ago |
213.33.126.130 | at | 80 | 3 minutes ago |
122.116.29.68 | tw | 4145 | 3 minutes ago |
50.221.230.186 | us | 80 | 3 minutes ago |
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To get the content of an HTML element (such as text inside a tag) using Selenium, you can use the text property of the WebElement. Here's an example in Python:
from selenium import webdriver
# Create a WebDriver instance (e.g., Chrome)
driver = webdriver.Chrome()
# Navigate to a webpage
driver.get("https://example.com")
# Find an element by its CSS selector (replace with your actual selector)
element = driver.find_element_by_css_selector("h1")
# Get the text content of the element
element_text = element.text
print("Element Text:", element_text)
# Close the browser when done
driver.quit()
In this example:
WebDriver
instance is created (using Chrome in this case).find_element_by_css_selector
. You can use other locators such as ID, class name, XPath, etc., based on your needs.text
property of the WebElement
is used to retrieve the text content of the element.Adjust the CSS selector in the find_element_by_css_selector
method to match the HTML element you want to extract content from.
Remember that the text
property returns the visible text of the element, excluding any hidden text or text inside child elements. If you need to capture all text content, including hidden elements, you may need to use other methods to extract HTML content and then parse it accordingly.
Yes, it is possible to use Selenium without opening a visible browser window by using headless mode. Headless mode allows the browser to run in the background without displaying the graphical user interface. This can be useful for running automated tests or web scraping processes without the overhead of a visible browser.
Here's an example of how to use headless mode with Selenium in Python:
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
# Create ChromeOptions and set headless mode
chrome_options = Options()
chrome_options.add_argument('--headless')
# Create WebDriver instance with headless mode
driver = webdriver.Chrome(options=chrome_options)
# Your Selenium script...
# Close the browser when done
driver.quit()
In this example:
chrome_options.add_argument('--headless') is used to enable headless mode for Chrome.
You can apply a similar approach for other browsers like Firefox:
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
# Create FirefoxOptions and set headless mode
firefox_options = Options()
firefox_options.headless = True
# Create WebDriver instance with headless mode
driver = webdriver.Firefox(options=firefox_options)
# Your Selenium script...
# Close the browser when done
driver.quit()
Headless mode is beneficial for scenarios where you don't need to visually inspect the browser while the script is running, and it can also help in improving the performance of your automated processes. Keep in mind that certain actions, especially those related to rendering and interaction with the visible browser, may behave differently in headless mode.
Disable proxy settings in Windows:
Press the Windows key + R to open the Run dialog.
Type "inetcpl.cpl" (without quotes) and press Enter to open the Internet Properties window.
In the Internet Properties window, click on the "Connections" tab.
Click on "Lan settings" in the bottom right corner of the window.
In the "Proxy Server" section, select "Automatically detect settings" and uncheck the box for "Use a proxy server for your LAN."
Click "OK" to save the changes and close the window.
XEvil is a captcha recognition software, and using it with Python involves interacting with the XEvil API. Typically, XEvil provides a DLL library, and you need to make API calls to it. However, note that XEvil is a third-party commercial product, and you should have the necessary license to use it.
Here is a basic outline of how you might interact with XEvil 4.0 from Python:
Download and Install XEvil 4.0:
Ensure you have a valid license for XEvil.
Download and install XEvil on your machine.
Identify XEvil API Documentation:
Refer to the documentation provided with XEvil, specifically the API documentation. This will guide you on how to make API calls to XEvil.
Make API Calls from Python:
Python does not have a direct interface for XEvil, so you might need to use an intermediary method, such as calling XEvil from the command line or using a wrapper library.
Example using subprocess to call XEvil from the command line:
import subprocess
def solve_captcha(image_path):
command = ["path/to/xevil.exe", "-solve", image_path]
result = subprocess.run(command, capture_output=True, text=True)
return result.stdout.strip()
captcha_result = solve_captcha("path/to/captcha_image.png")
print("Captcha Result:", captcha_result)
Handle Captcha Results:
The result from XEvil will typically be a string containing the recognized captcha text or some indication of success or failure.
Your Python script can then use this result as needed, for example, to submit a form with the recognized captcha.
Although free proxies are popular, they are far from being flawless in their work. Many of their IP addresses are blacklisted by popular resources, and the data transfer speed and stability are very unreliable. When choosing a proxy, keep in mind that the new version of IPv6 is not supported by most websites. Note also that proxies are divided into private and public, statistical and dynamic, and support different network protocols.
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