Proxy Crape

Go to the settings (the icon in the form of three dots) and open the section "Settings". In the tab at the very bottom, click on "Advanced settings". Click on "Open proxy settings for computer" and in the window that appears, click on "Network settings". Find the line "Automatic detection of parameters", uncheck it, and then, in the section "Proxy", activate the option "Use a proxy server". Enter the proxy host and port in the appropriate fields, and then click "Apply".

It depends on the purpose for which you plan to work with proxies at all. Personally, one is enough for myself. But if you plan to do massive parsing, it may not be enough to have 100 pieces.

The proxy domain most often refers to the IP address where the server is located. It can only "learn" the IP address of the user when processing the traffic. But in most cases it does not store such information later for security reasons.

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

Chromium does not support proxies in-house. There is a corresponding item in the menu, but clicking on it will open the regular proxy server settings in Windows or MacOS.