IP | Country | PORT | ADDED |
---|---|---|---|
50.171.122.28 | us | 80 | 25 minutes ago |
212.69.125.33 | ru | 80 | 25 minutes ago |
50.175.123.238 | us | 80 | 25 minutes ago |
190.58.248.86 | tt | 80 | 25 minutes ago |
50.171.122.27 | us | 80 | 25 minutes ago |
203.99.240.182 | jp | 80 | 25 minutes ago |
195.23.57.78 | pt | 80 | 25 minutes ago |
213.143.113.82 | at | 80 | 25 minutes ago |
62.99.138.162 | at | 80 | 25 minutes ago |
66.191.31.158 | us | 80 | 25 minutes ago |
80.120.130.231 | at | 80 | 25 minutes ago |
50.231.110.26 | us | 80 | 25 minutes ago |
41.207.187.178 | tg | 80 | 25 minutes ago |
203.99.240.179 | jp | 80 | 25 minutes ago |
50.175.212.66 | us | 80 | 25 minutes ago |
213.33.126.130 | at | 80 | 25 minutes ago |
194.219.134.234 | gr | 80 | 25 minutes ago |
67.43.228.250 | ca | 25981 | 25 minutes ago |
83.1.176.118 | pl | 80 | 25 minutes ago |
80.120.49.242 | at | 80 | 25 minutes ago |
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The proxy settings in Zoom are configured through the regular Windows settings. To do this, you can use the command inetcpl.cpl in "Run". Next, you need to go to the "Connection" tab, click on "Network Setup". In the dialog box that opens, select "Proxy server" and set the required parameters. As a port, you can use 80 and 443.
You can avoid fraud related to the use of your proxy by using special online services. Proxy-checkers are focused on recognizing any proxy format, its degree of uniqueness and anonymity, speed, as well as a number of other important parameters.
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
If you want to capture data logged to the console in JavaScript and save it to a JSON file, you can follow these steps:
Capture Data in JavaScript:
Log the data you want to capture using console.log in your JavaScript code.
// Example data to be logged
const dataToLog = { key1: 'value1', key2: 'value2', key3: 'value3' };
// Log the data to the console
console.log(dataToLog);
Redirect Console Output:
You can redirect the console output to a variable using console.log = function() { ... }. Create an array to store the logged messages.
// Example array to store console messages
let consoleMessages = [];
// Redirect console.log to store messages in the array
console.log = function() {
consoleMessages.push(Array.from(arguments));
};
// Log the data to the console
console.log(dataToLog);
Write Data to JSON File:
Use the fs (File System) module in Node.js to write the captured data to a JSON file.
const fs = require('fs');
// Write the consoleMessages array to a JSON file
fs.writeFileSync('output.json', JSON.stringify(consoleMessages, null, 2));
Note: The code above assumes you are working in a Node.js environment. If you are in a browser environment, you might need to use other methods to write data to a file, such as using the Blob API and creating a download link.
const jsonData = JSON.stringify(consoleMessages, null, 2);
const blob = new Blob([jsonData], { type: 'application/json' });
const url = URL.createObjectURL(blob);
// Create a download link
const downloadLink = document.createElement('a');
downloadLink.href = url;
downloadLink.download = 'output.json';
// Append the link to the document and trigger the download
document.body.appendChild(downloadLink);
downloadLink.click();
document.body.removeChild(downloadLink);
It is recommended to use private IPv6 proxies with dedicated IP in order to work with Instagram correctly, and most importantly - securely. With such connection interception of traffic is practically impossible, directly Instagram also will not ban the connection.
What else…