IP | Country | PORT | ADDED |
---|---|---|---|
50.169.222.242 | us | 80 | 45 minutes ago |
50.175.123.238 | us | 80 | 45 minutes ago |
50.202.75.26 | us | 80 | 45 minutes ago |
32.223.6.94 | us | 80 | 45 minutes ago |
50.231.110.26 | us | 80 | 45 minutes ago |
50.168.72.117 | us | 80 | 45 minutes ago |
195.23.57.78 | pt | 80 | 45 minutes ago |
159.203.61.169 | ca | 8080 | 45 minutes ago |
185.132.242.212 | ru | 8083 | 45 minutes ago |
50.149.15.40 | us | 80 | 45 minutes ago |
50.232.104.86 | us | 80 | 45 minutes ago |
50.218.208.13 | us | 80 | 45 minutes ago |
85.214.107.177 | de | 80 | 45 minutes ago |
50.175.212.79 | us | 80 | 45 minutes ago |
50.145.138.156 | us | 80 | 45 minutes ago |
50.172.88.212 | us | 80 | 45 minutes ago |
50.149.15.36 | us | 80 | 45 minutes ago |
72.10.160.173 | ca | 33171 | 45 minutes ago |
50.175.123.233 | us | 80 | 45 minutes ago |
50.172.150.134 | us | 80 | 45 minutes ago |
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The easiest way to set up a home proxy server is to install a router that supports this function. Then get the proxy data (provided by the service in which it is "rented") and enter it in the router settings. If there is no need for a common proxy (for all devices at once), then it should be configured separately for each device with the help of the utilities integrated in the OS for changing the connection properties.
When scraping a dynamic list where the content is loaded dynamically, you often need to use a web scraping library that supports interaction with JavaScript or a headless browser. The selenium library is a popular choice for this task.
Below is an example of scraping a dynamic list from a website using Python with selenium. In this example, the list items are loaded dynamically through JavaScript, and we'll use selenium to interact with the page.
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
# Replace 'your_url' with the actual URL of the page
url = 'your_url'
# Initialize the webdriver (you may need to download the appropriate webdriver for your browser)
driver = webdriver.Chrome()
# Open the webpage
driver.get(url)
# Use WebDriverWait to wait for the dynamic content to load
try:
# Adjust the timeout and conditions based on your webpage's behavior
WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.XPATH, '//div[@class="your-list-item-class"]'))
)
# Extract the list items using XPath (adjust the XPath based on your HTML structure)
list_items = driver.find_elements(By.XPATH, '//div[@class="your-list-item-class"]')
# Process the list items
for index, item in enumerate(list_items):
print(f"Item {index + 1}: {item.text}")
finally:
# Close the browser window
driver.quit()
In this example:
'your_url'
with the actual URL of the page you want to scrape.driver.find_elements
based on the structure of your HTML. This XPath should point to the dynamic list items.Remember to install the selenium
library (pip install selenium
) and download the appropriate WebDriver (e.g., ChromeDriver) for your browser.
To check if a proxy server is working, you can follow these steps:
1. Open your web browser and go to a website that is not blocked by your proxy server.
2. In the address bar, enter the proxy server address and port number in the following format: http://proxy-server-address:port-number
3. Press Enter and wait for the page to load. If the page loads successfully, it means your proxy server is working.
4. If the page does not load or you see an error message, it means your proxy server is not working or is blocked by the website you are trying to access.
Alternatively, you can use online tools like Proxy Checker (https://www.proxychecker.com/) to test your proxy server. These tools will provide you with information on whether your proxy server is working or not.
Audience parsing is the collection of information about users. Most often it is used to get statistical data, to check the server capacity. Sometimes it is also used to compile a database of potential customers.
Audience parsing is the collection of information about users. Most often it is used to get statistical data, to check the server capacity. Sometimes it is also used to compile a database of potential customers.
What else…