Unblock Pakistan Proxy

To find out the port of the proxy server, you just need to use any browser (Yandex Browser, Opera, Google Chrome). Then you need to follow the algorithm:

Start the browser. Go to "Settings". In the search box enter the query "proxy". Click on "Proxy settings". In the window that opens, select "Network settings". This will open a tab with the IP address and port of the proxy server.

If you have a legitimate use case and need to interact with YouTube data, consider using the YouTube Data API in compliance with YouTube's terms of service. The API allows you to retrieve information about videos, playlists, channels, and comments, but it has specific rules and limitations.

Before using any API, make sure to:

1. Review API Documentation: Understand the features, limitations, and terms of use of the YouTube Data API.

2. Obtain API Key or OAuth Token: To use the YouTube Data API, you need to obtain an API key or use OAuth 2.0 authentication.

3. Comply with YouTube's Policies: Follow YouTube's terms of service and community guidelines. Unauthorized actions, spamming, or any form of abuse can result in penalties.

Here's a basic example using the YouTube Data API (in Python with the google-api-python-client library):

from googleapiclient.discovery import build

# Replace with your API key or use OAuth 2.0 authentication
api_key = 'your_api_key'
youtube = build('youtube', 'v3', developerKey=api_key)

# Example: Retrieving comments from a video
video_id = 'your_video_id'
comments = youtube.commentThreads().list(part='snippet', videoId=video_id).execute()

# Process comments as needed
for comment in comments['items']:
    snippet = comment['snippet']['topLevelComment']['snippet']
    author = snippet['authorDisplayName']
    text = snippet['textDisplay']
    print(f"{author}: {text}")

Note: This example retrieves comments from a video, but posting comments is not supported in the current version of the API.

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:

• Replace 'your_url' with the actual URL of the page you want to scrape.
• Adjust the XPath in 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.

In Selenium, you can load a cookie using the add_cookie() method of the WebDriver object. Here's an example of how to do it:

from selenium import webdriver

# Initialize the WebDriver (e.g., Chrome)
driver = webdriver.Chrome()

# Define the cookie you want to load
cookie = {
    "name": "username",
    "value": "testuser",
    "domain": ".example.com",
    "path": "/",
    "secure": True,
}

# Add the cookie to the WebDriver
driver.add_cookie(cookie)

# Navigate to the page you want to load with the cookie
driver.get("http://example.com")

In this example, we're using the Chrome WebDriver to add a cookie named "username" with the value "testuser" to the domain ".example.com". The add_cookie() method accepts a dictionary representing the cookie, which includes the name, value, domain, path, secure flag, and other attributes.

After adding the cookie, you can navigate to the desired page using the get() method. The WebDriver will now send the cookie along with each request made to the server.

To configure a proxy in Nginx, you need to modify the Nginx configuration file and add the appropriate proxy settings. Follow these steps to set up a proxy in Nginx:

Open the Nginx configuration file: This file is typically located at /etc/nginx/nginx.conf or /etc/nginx/conf.d/default.conf, depending on your system and Nginx installation. You may need root or administrative privileges to edit this file.

Locate the http block: Inside the Nginx configuration file, look for the http block, which contains the global settings for your Nginx server.

Add a server block: Within the http block, add a new server block that specifies the domain name or IP address and port number of the client request you want to proxy to another server. For example:

server {
    listen 80;
    server_name example.com;

    location / {
        proxy_pass http://your-destination-server.com;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }
}

Replace example.com with the domain name you want to proxy to the destination server, and http://your-destination-server.com with the destination server's address and port number.

Configure proxy settings: Within the location block, add the necessary proxy settings to forward the client's request to the destination server and pass along the appropriate headers. Some common proxy settings include:

- proxy_pass: Specifies the destination server's address and port number.
- proxy_set_header: Sets the value of specific headers to be sent to the destination server.
- proxy_redirect: Redirects URLs in the response from the destination server to a different URL.
- proxy_connect_timeout: Sets the timeout for establishing a connection to the destination server.
- proxy_read_timeout: Sets the timeout for reading the response from the destination server.
- proxy_send_timeout: Sets the timeout for sending a response to the client.

Save the configuration file: After making the necessary changes, save the Nginx configuration file.

Test the configuration: Before restarting Nginx, test the configuration to ensure there are no syntax errors. You can do this by running the following command:

nginx -t

If the test is successful, Nginx will output Configuration test successful.

Restart Nginx: Apply the changes by restarting the Nginx server. Depending on your system, you can use one of the following commands:

sudo service nginx restart

or

sudo systemctl restart nginx

After completing these steps, your Nginx server will act as a proxy and forward client requests to the specified destination server.