IP | Country | PORT | ADDED |
---|---|---|---|
88.87.72.134 | ru | 4145 | 39 minutes ago |
178.220.148.82 | rs | 10801 | 39 minutes ago |
181.129.62.2 | co | 47377 | 39 minutes ago |
72.10.160.170 | ca | 16623 | 39 minutes ago |
72.10.160.171 | ca | 12279 | 39 minutes ago |
176.241.82.149 | iq | 5678 | 39 minutes ago |
79.101.45.94 | rs | 56921 | 39 minutes ago |
72.10.160.92 | ca | 25175 | 39 minutes ago |
50.207.130.238 | us | 54321 | 39 minutes ago |
185.54.0.18 | es | 4153 | 39 minutes ago |
67.43.236.20 | ca | 18039 | 39 minutes ago |
72.10.164.178 | ca | 11435 | 39 minutes ago |
67.43.228.250 | ca | 23261 | 39 minutes ago |
192.252.211.193 | us | 4145 | 39 minutes ago |
211.75.95.66 | tw | 80 | 39 minutes ago |
72.10.160.90 | ca | 26535 | 39 minutes ago |
67.43.227.227 | ca | 13797 | 39 minutes ago |
72.10.160.91 | ca | 1061 | 39 minutes ago |
99.56.147.242 | us | 53096 | 39 minutes ago |
212.31.100.138 | cy | 4153 | 39 minutes ago |
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A reverse proxy is mainly used by administrators and is responsible for balancing workload and high availability. The reverse proxy redirects received requests to one of its web servers. From the outside it is completely invisible and looks as if all required resources are concentrated directly in the proxy.
There are three types of proxies that work using three types of protocols. The weakest one is HTTP. It is long outdated and unsuitable for visiting web resources. HTTPS works through a secure protocol and is most often used for web surfing. SOCKS5 proxies are capable of working with the largest number of programs and protocols. They are also beneficial because they keep your IP address anonymous in the request header.
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
The basic configuration is written in nginx.conf file in the program directory. You need to create a server article and specify there the port number and the place for cached data. Thus, for example, by using port 8080 you may organize a local proxy to test your own sites.
It is not possible to set up a proxy connection in the program itself. That is, you should configure it either through the regular settings of Windows, or by using third-party utilities to forward traffic (e.g., through ProxyCap).
What else…