Oxy Proxy

There are several ways to bypass Telegram blocking, the most popular of which involves installing a proxy. There are bots in the messenger that allow you to get such a working tool, such as @socks_bot, for free. By running the bot and selecting a location to connect, you can get an IP address, port, username and password. To activate the proxy, go through "Settings" to "Data and Drive" and then to "Proxy Settings." After enabling "Use proxy settings", enter the corresponding data in the specified fields.

When choosing a proxy through which to connect to Skype, pay attention to the stability of its work, the level of anonymity and low load that exceeds the final speed of the connection. Launch the Skype application and open the context menu "Tools". Through the "Advanced" tab, go to "Connection" to open the "Change settings" tab. Here, in the special form, specify the IP address and port, and then click "Save" and restart Skype.

To speed up scraping by leveraging asynchronous programming in Python, you can use the asyncio library along with asynchronous HTTP requests. The aiohttp library is commonly used for asynchronous HTTP requests. Here's a basic example to help you get started:

Install Required Packages:

pip install aiohttp

Asynchronous Scraping Script:

import asyncio
import aiohttp

async def scrape_url(session, url):
    try:
        async with session.get(url) as response:
            if response.status == 200:
                content = await response.text()
                # Process the content as needed
                print(f"Scraped {url}: {len(content)} characters")
            else:
                print(f"Failed to scrape {url}. Status code: {response.status}")
    except Exception as e:
        print(f"Error scraping {url}: {str(e)}")

async def main():
    urls_to_scrape = [
        'https://example.com/page1',
        'https://example.com/page2',
        # Add more URLs as needed
    ]

    async with aiohttp.ClientSession() as session:
        tasks = [scrape_url(session, url) for url in urls_to_scrape]
        await asyncio.gather(*tasks)

if __name__ == "__main__":
    asyncio.run(main())

• • This script defines an asynchronous function scrape_url to perform the scraping for a given URL.
  • The main function creates an asynchronous HTTP session using aiohttp.ClientSession and gathers the scraping tasks.
  • The asyncio.run(main()) line runs the main asynchronous function.

• Running the Script:

python your_scraper_script.py

This example demonstrates the basics of asynchronous scraping. Asynchronous programming can significantly speed up scraping tasks, especially when making multiple concurrent HTTP requests.

Keep in mind that not all websites support asynchronous scraping, and some may have restrictions or rate limiting. Always adhere to the website's terms of service, and consider adding delays between requests to avoid overloading the server.

Error 500 usually indicates an internal server error. When you're getting this error while querying /wd/hub/sessions to Docker Selenium, it might be due to several reasons. Here are some steps you can take to troubleshoot and resolve the issue:

Check logs: Inspect the logs of the Selenium server container to get more information about the error. You can do this by running the following command:

docker logs 

Replace with the actual name or ID of your Selenium server container.

Verify configuration: Ensure that your Selenium server configuration is correct. Make sure that the hub and node containers are properly set up and can communicate with each other. Check the port mappings and network settings.

Update versions: Make sure you are using compatible versions of Selenium server, WebDriver, and any other related libraries or tools. Sometimes, compatibility issues can cause unexpected errors.

Resource constraints: Check if your system has enough resources (CPU, memory, and disk space) to run the Selenium server and nodes. If your system is running out of resources, it might cause the server to return an error.

Firewall or network issues: Ensure that there are no firewall rules or network configurations that might be blocking the communication between the hub and node containers.

Restart containers: If none of the above steps help, try restarting the Selenium server and node containers. This can sometimes resolve temporary issues.

If you continue to face the issue, please provide more information about your setup, including the versions of Selenium server, WebDriver, and any other related libraries or tools you are using. This will help in providing more specific guidance to resolve the issue.

To log into your Google account using Selenium, you will need to follow these steps:

Here's an example Python script using Selenium with Chrome WebDriver:

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

# Set up the Chrome WebDriver
driver = webdriver.Chrome()

# Navigate to the Google login page
driver.get("https://accounts.google.com/")

# Explicit wait for the email input field to be present
wait = WebDriverWait(driver, 10)
email_input = wait.until(EC.presence_of_element_located((By.NAME, "identifier")))

# Enter your email address into the email input field
email_input.send_keys("[email protected]")
email_input.send_keys(Keys.RETURN)

# Explicit wait for the password input field to be present
password_input = wait.until(EC.presence_of_element_located((By.NAME, "password")))

# Enter your password into the password input field
password_input.send_keys("your_password")
password_input.send_keys(Keys.RETURN)

# Your Google account should now be logged in

Replace [email protected] and your_password with your actual Google account email and password. Note that storing passwords in plaintext within your script is not secure. Consider using environment variables or other secure methods to store sensitive information.

Keep in mind that Google may have CAPTCHA or other security measures in place to prevent automated logins. If you encounter such measures, you may need to use additional techniques or services to bypass them.