IP | Country | PORT | ADDED |
---|---|---|---|
50.169.222.242 | us | 80 | 35 minutes ago |
46.183.130.89 | ru | 1080 | 35 minutes ago |
122.116.29.68 | tw | 4145 | 35 minutes ago |
194.182.178.90 | bg | 1080 | 35 minutes ago |
194.182.187.78 | at | 1080 | 35 minutes ago |
50.175.212.76 | us | 80 | 35 minutes ago |
91.108.130.18 | ir | 3128 | 35 minutes ago |
50.218.208.15 | us | 80 | 35 minutes ago |
50.169.222.244 | us | 80 | 35 minutes ago |
50.168.61.234 | us | 80 | 35 minutes ago |
194.182.163.117 | ch | 1080 | 35 minutes ago |
194.87.93.21 | ru | 1080 | 35 minutes ago |
185.46.97.75 | ru | 1080 | 35 minutes ago |
50.175.123.232 | us | 80 | 35 minutes ago |
125.228.143.207 | tw | 4145 | 35 minutes ago |
188.40.59.208 | de | 1080 | 35 minutes ago |
50.145.138.146 | us | 80 | 35 minutes ago |
46.105.105.223 | gb | 44290 | 35 minutes ago |
203.99.240.179 | jp | 80 | 35 minutes ago |
125.228.94.199 | tw | 4145 | 35 minutes ago |
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You can check it with the ping command from the command line in Windows. It is enough to enter it, with a space - the data of the proxy server (including the number of the port used) and press Enter. The reply message will tell you whether or not you have received a reply from the remote server. If not, the proxy is unavailable, respectively.
It refers to a proxy that changes its IP address according to a set algorithm. This is done to minimize the risk of the proxy being recognized by web applications and to better ensure privacy.
To pass a variable from Python to Selenium JavaScript, you can use the execute_script method provided by the WebDriver instance. This method allows you to execute custom JavaScript code within the context of the current web page. You can pass Python variables as arguments to the JavaScript code.
Here's an example using Python:
Install the required package:
pip install selenium
Create a method to execute JavaScript with a Python variable:
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
def execute_javascript_with_python_variable(driver, locator, python_variable):
element = WebDriverWait(driver, 10).until(EC.visibility_of_element_located(locator))
return driver.execute_script("return arguments[0] + arguments[1];", element.text + python_variable)
Use the execute_javascript_with_python_variable method in your test code:
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
# Set up the WebDriver
driver = webdriver.Chrome()
driver.maximize_window()
# Navigate to the target web page
driver.get("https://www.example.com")
# Locate the element you want to interact with
locator = (By.ID, "element-id")
# Execute JavaScript with a Python variable
result = execute_javascript_with_python_variable(driver, locator, "Hello, World!")
# Print the result
print(result)
# Perform any additional actions as needed
# Close the browser
driver.quit()
In this example, we first create a method called execute_javascript_with_python_variable that takes a driver instance, a locator tuple containing the locator strategy and locator value, and a python_variable string containing the Python variable value. Inside the method, we use the WebDriverWait class to wait for the element to become visible and then call the execute_script method with the JavaScript code that concatenates the element's text and the Python variable.
In the test code, we set up the WebDriver, navigate to the target web page, and locate the element using the locator variable. We then call the execute_javascript_with_python_variable method with the driver, locator, and "Hello, World!" as input. The method returns the concatenated result, which we print in the console.
Remember to replace "https://www.example.com", "element-id", and "Hello, World!" with the actual URL, element ID or locator, and desired Python variable value.
To convert a Scrapy Response object to a BeautifulSoup object, you can use the BeautifulSoup library. The Response object's body attribute contains the raw HTML content, which can be passed to BeautifulSoup for parsing. Here's an example:
from bs4 import BeautifulSoup
import scrapy
class MySpider(scrapy.Spider):
name = 'my_spider'
start_urls = ['http://example.com']
def parse(self, response):
# Convert Scrapy Response to BeautifulSoup object
soup = BeautifulSoup(response.body, 'html.parser')
# Now you can use BeautifulSoup to navigate and extract data
title = soup.title.string
print(f'Title: {title}')
# Example: Extract all paragraphs
paragraphs = soup.find_all('p')
for paragraph in paragraphs:
print(paragraph.text.strip())
- The Scrapy spider starts with the URL http://example.com.
- In the parse method, response.body contains the raw HTML content.
- The HTML content is passed to BeautifulSoup with the parser specified as 'html.parser'.
- The resulting soup object can be used to navigate and extract data using BeautifulSoup methods.
Select the "Proxy" tab in the "Network" window, then click on Win+C and find the "Settings" item. In the window that opens, stop at "Change computer settings" and go to "Network". Select the "Proxy" line here and disable the proxy functionality.
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