IP | Country | PORT | ADDED |
---|---|---|---|
103.216.50.11 | kh | 8080 | 36 minutes ago |
107.181.168.145 | us | 4145 | 36 minutes ago |
185.10.129.14 | ru | 3128 | 36 minutes ago |
50.207.199.81 | us | 80 | 36 minutes ago |
187.141.125.210 | 8080 | 36 minutes ago | |
198.49.68.80 | us | 80 | 36 minutes ago |
67.201.33.10 | us | 25283 | 36 minutes ago |
98.188.47.132 | us | 4145 | 36 minutes ago |
72.195.34.59 | us | 4145 | 36 minutes ago |
50.168.72.116 | us | 80 | 36 minutes ago |
101.237.38.98 | cn | 13128 | 36 minutes ago |
189.202.188.149 | mx | 80 | 36 minutes ago |
41.207.187.178 | tg | 80 | 36 minutes ago |
213.143.113.82 | at | 80 | 36 minutes ago |
103.152.112.157 | us | 80 | 36 minutes ago |
50.169.222.243 | us | 80 | 36 minutes ago |
103.152.112.120 | us | 80 | 36 minutes ago |
172.105.58.227 | in | 1080 | 36 minutes ago |
50.217.226.41 | us | 80 | 36 minutes ago |
85.8.68.2 | de | 80 | 36 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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And 500+ more programming tools and languages
To connect to the Internet through a proxy server, you must authenticate with your username and password. This can be done by logging in automatically, by using a Windows agent, and by using a Web agent. With automatic login, as well as when using the Web-agent, you need to manually configure the address of the proxy server in your browser. The Windows agent does not require any special settings, because it sets up everything you need for work by itself.
When using BeautifulSoup in Python to parse HTML or XML with identical tags, you can use various methods to extract the desired information. One common approach is to use the find_all method along with additional criteria to narrow down the selection.
Here's an example of how you can parse identical tags with BeautifulSoup:
from bs4 import BeautifulSoup
html_content = """
First paragraph
Second paragraph
Third paragraph
"""
soup = BeautifulSoup(html_content, 'html.parser')
# Find all paragraphs within the div with class="example"
div_example = soup.find('div', class_='example')
if div_example:
paragraphs = div_example.find_all('p')
# Print the text content of each paragraph
for paragraph in paragraphs:
print(paragraph.text)
else:
print("Div with class='example' not found.")
In this example, find is used to locate the div with class "example," and then find_all is used to retrieve all paragraph tags within that div. The text content of each paragraph is then printed.
You can adapt this approach to your specific HTML or XML structure. If the identical tags are nested within a specific parent element, use that parent element as a starting point for your search.
Keep in mind that identifying the elements you want to extract may involve inspecting the HTML structure and adapting your code accordingly.
If you want to integrate Selenium with BrowseEmAll, you might consider the following general steps:
Install BrowseEmAll:
Write Selenium Tests:
Configure Selenium WebDriver:
Run Tests:
Here's a basic example using Python and Selenium WebDriver (you may need to adjust the details based on the actual integration requirements and BrowseEmAll features):
from selenium import webdriver
# Configure Selenium WebDriver to use BrowseEmAll
# Example assumes BrowseEmAll executable is in the specified path
browseemall_path = '/path/to/BrowseEmAll.exe'
browser_exe = '/path/to/Chrome.exe' # Path to the Chrome browser executable
options = webdriver.ChromeOptions()
options.binary_location = browser_exe
options.add_argument('--remote-debugging-port=9222') # Specify the remote debugging port used by BrowseEmAll
# Use the BrowseEmAll executable as the ChromeDriver executable
driver = webdriver.Chrome(executable_path=browseemall_path, options=options)
# Run your Selenium tests
driver.get('https://example.com')
# Close the browser when done
driver.quit()
To use Selenium in Python to press a button on a site for a few seconds, you can follow these steps:
1. Install Selenium and a WebDriver for the browser you want to use (e.g., ChromeDriver for Google Chrome, GeckoDriver for Firefox).
2. Import the necessary modules in your Python script:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
3. Initialize the WebDriver and navigate to the desired website:
driver = webdriver.Chrome(executable_path='path/to/chromedriver')
driver.get('https://example.com')
4. Locate the button you want to press using one of the methods provided by Selenium, such as find_element_by_* or find_elements_by_*.
5. Use the ActionChains class to simulate a click and hold action on the button:
from selenium.webdriver.common.action_chains import ActionChains
button = driver.find_element(By.ID, 'button-id')
action = ActionChains(driver)
action.move_to_element(button).click_and_hold().perform()
# Wait for a few seconds
time.sleep(5) # Adjust the duration as needed
# Release the button
action.release().perform()
6. Close the WebDriver after the action is complete:
driver.quit()
Note: Make sure to replace 'path/to/chromedriver' with the actual path to your WebDriver executable and 'button-id' with the actual ID of the button you want to press.
Also, the time.sleep(5) function is used to simulate holding the button for a few seconds. Adjust the duration by changing the 5 to the desired number of seconds.
A web proxy is a web application that is installed on a web server. It acts as an intermediary for downloading certain content from various websites. The user gets the opportunity, thanks to the web proxy, to remain anonymous while downloading all kinds of web resources. Web proxies are good for such tasks as speeding up the loading of websites, providing anonymous access to websites, bypassing restrictions and gaining access to closed websites.
What else…