Rutor Proxy

If we are talking about disabling Telegram for Android, you need to go to "Data and Memory" and under "Proxy" find "Proxy settings". Here, under "Connections", you should disable the use of a proxy server. If we are talking about disabling Telegram for iOS, then in the "Data and memory" item, you should select "Proxy", then go to the "Use proxy" column, and then move the slider to the "Off" position.

To scrape Binance courses data in Python, you can use web scraping libraries such as BeautifulSoup and requests. Here's an example using BeautifulSoup to scrape Binance courses

Install required libraries:

pip install beautifulsoup4 requests

Write the scraping code:

import requests
from bs4 import BeautifulSoup

def scrape_binance_courses():
    url = 'https://www.binance.com/en/academy/courses'

    # Send a GET request to the URL
    response = requests.get(url)

    # Check if the request was successful (status code 200)
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')

        # Find the container containing course information
        course_container = soup.find('div', {'class': 'css-7sfsgn'})

        if course_container:
            # Extract course details
            courses = course_container.find_all('div', {'class': 'css-1jiwjuo'})
            
            for course in courses:
                course_title = course.find('div', {'class': 'css-1mg41yd'}).text
                course_description = course.find('div', {'class': 'css-1q62c8m'}).text

                print(f"Title: {course_title}\nDescription: {course_description}\n")

        else:
            print("Course container not found.")
    else:
        print(f"Failed to retrieve the webpage. Status code: {response.status_code}")

# Run the scraping function
scrape_binance_courses()

This example sends a GET request to the Binance Academy courses page, parses the HTML content using BeautifulSoup, and extracts course details such as title and description.

Run the code:

python your_script_name.py

To catch a dynamic element using Selenium, you can use various methods depending on the specifics of the element and the browser you are using. Here are some common approaches:

Using WebDriverWait and expected_conditions:

The WebDriverWait class is used to wait for a specific condition to be met before proceeding with the script. You can use the expected_conditions module to define the condition you want to wait for.

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

driver = webdriver.Chrome()
driver.get("https://www.example.com")

dynamic_element = WebDriverWait(driver, 10).until(
    EC.presence_of_element_located((By.ID, "dynamic-element-id"))
)

In this example, the script will wait up to 10 seconds for the element with the ID dynamic-element-id to appear on the page. Once the element is present, it can be interacted with or located.

Using JavaScript to interact with dynamic elements:

You can use the execute_script() method to run JavaScript code in the context of the current page. This allows you to interact with dynamic elements that may not be accessible through the regular Selenium methods.

from selenium import webdriver

driver = webdriver.Chrome()
driver.get("https://www.example.com")

dynamic_element = driver.execute_script("return document.getElementById('dynamic-element-id');")

In this example, the script runs JavaScript code to get a reference to the element with the ID dynamic-element-id. You can then interact with the element using JavaScript or Selenium methods.

Using actions with dynamic elements:

The actions module allows you to simulate user interactions, such as mouse movements and clicks. You can use this module to interact with dynamic elements that require user-like interaction.

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

driver = webdriver.Chrome()
driver.get("https://www.example.com")

dynamic_element = driver.find_element(By.ID, "dynamic-element-id")
actions = ActionChains(driver)
actions.move_to_element(dynamic_element).perform()
actions.click(dynamic_element).perform()

In this example, the script moves the mouse cursor to the dynamic element and simulates a click, which may be necessary if the element is interactive or requires user-like interaction.

Remember to replace "https://www.example.com", "dynamic-element-id", and other elements with the actual values for the website you are working with. Also, ensure that the browser driver (e.g., ChromeDriver for Google Chrome) is installed and properly configured in your environment.

Data parsing in most cases refers to the collection of technical or other information. For example, a local proxy server can be used for parsing "log data". That is, information about the work of the site, the application, which in the future will be useful for developers to find and fix various bugs.

In Telegram on PC, proxies can be set up through the application settings. You need to open the "Advanced settings" item, then - select "Connection type". By default, the Windows system proxy is used, but you can specify it manually or disable it altogether.