Jellyfin Proxy

Most often Yandex bans only public proxies that can be used by many users at the same time. The main reason for this is the high probability of cyber-attacks. Proxies are often used for DDoS, which means artificially overloading the server by sending a large number of requests to it every second.

In Selenium, if you want to write text to a webpage outside of an input field (e.g., clicking on an element and writing text on the page), you can use the sendKeys() method or the Actions class. Here's an example using both approaches:

Using sendKeys() method:

from selenium import webdriver

# Create a new instance of the Firefox driver
driver = webdriver.Firefox()

# Navigate to a webpage
driver.get("https://example.com")

# Find an element on the page (you may need to adjust the locator strategy)
element = driver.find_element_by_css_selector("body")

# Use send_keys to write text to the element
element.send_keys("Hello, this is some text.")

# Close the browser window
driver.quit()

Using Actions class:

from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains

# Create a new instance of the Firefox driver
driver = webdriver.Firefox()

# Navigate to a webpage
driver.get("https://example.com")

# Find an element on the page (you may need to adjust the locator strategy)
element = driver.find_element_by_css_selector("body")

# Use Actions class to click on the element and send keys
actions = ActionChains(driver)
actions.click(element).send_keys("Hello, this is some text.").perform()

# Close the browser window
driver.quit()

Choose the method that best suits your needs. The first example directly uses sendKeys() on the element representing the whole page body, while the second example uses the Actions class to perform a sequence of actions (clicking and sending keys).

In Scrapy, you can navigate to the next page of a website by following the links or buttons that lead to subsequent pages. This typically involves extracting the link or button URL from the current page and generating a new request to scrape the content of the next page.

Here's a basic example of how you can navigate to the next page in a Scrapy spider:

import scrapy

class MySpider(scrapy.Spider):
    name = 'my_spider'
    start_urls = ['http://example.com/page1']

    def parse(self, response):
        # Extract data from the current page

        # ...

        # Follow the link to the next page (assuming pagination link is in an anchor tag)
        next_page_url = response.css('a.next-page-link::attr(href)').extract_first()
        if next_page_url:
            yield scrapy.Request(url=next_page_url, callback=self.parse)

- The spider starts with the initial URL (start_urls).
- The parse method extracts data from the current page.
- It then extracts the URL of the next page using a CSS selector (response.css('a.next-page-link::attr(href)').extract_first()). Adjust this selector based on the structure of the website you are scraping.
- If a next page URL is found, a new scrapy.Request is yielded with the URL and the same callback function (self.parse). This creates a new request to scrape the content of the next page.

It means routing traffic from multiple devices through a single proxy server. In this way you can, for example, organize a local network in an office environment, but where all the traffic data can be viewed from the administrator's server.

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.