IP | Country | PORT | ADDED |
---|---|---|---|
50.168.72.117 | us | 80 | 9 minutes ago |
50.168.72.113 | us | 80 | 9 minutes ago |
50.175.212.74 | us | 80 | 9 minutes ago |
50.174.7.153 | us | 80 | 9 minutes ago |
50.207.199.83 | us | 80 | 9 minutes ago |
50.239.72.16 | us | 80 | 9 minutes ago |
50.218.208.13 | us | 80 | 9 minutes ago |
50.174.7.155 | us | 80 | 9 minutes ago |
72.10.160.173 | ca | 25569 | 9 minutes ago |
50.217.226.40 | us | 80 | 9 minutes ago |
50.239.72.18 | us | 80 | 9 minutes ago |
50.217.226.45 | us | 80 | 9 minutes ago |
50.168.72.114 | us | 80 | 9 minutes ago |
50.217.226.43 | us | 80 | 9 minutes ago |
50.168.72.112 | us | 80 | 9 minutes ago |
50.218.208.14 | us | 80 | 9 minutes ago |
98.191.0.37 | us | 4145 | 9 minutes ago |
50.168.72.118 | us | 80 | 9 minutes ago |
50.175.212.79 | us | 80 | 9 minutes ago |
50.175.123.239 | us | 80 | 9 minutes ago |
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On the PC you can use SOCKS5 proxies, for example, through the browser Firefox. There are such a function in the settings, you just need to activate it. The only nuance: the connection speed or ping indicators in this case may be slowed down.
To scrape the content of an unordered list (ul) from a web page using Node.js, you can use a combination of libraries such as axios for making HTTP requests and cheerio for HTML parsing. Here's a basic example to get you started:
Install Required Packages:
npm install axios cheerio
Create a Scraper Script:
const axios = require('axios');
const cheerio = require('cheerio');
// URL of the web page you want to scrape
const url = 'https://example.com';
// Function to scrape the content of the ul element
async function scrapeULContent(url) {
try {
const response = await axios.get(url);
const $ = cheerio.load(response.data);
// Replace 'ul-selector' with the actual CSS selector of your ul element
const ulContent = $('ul-selector').html();
console.log('Scraped UL Content:');
console.log(ulContent);
} catch (error) {
console.error(`Error scraping UL content: ${error.message}`);
}
}
// Call the function with the URL
scrapeULContent(url);
Replace 'ul-selector' with the actual CSS selector that matches your ul element.
Run the Script:
node your_scraper_script.js
This example uses axios to make an HTTP request to the specified URL and cheerio to load and parse the HTML content. The $('ul-selector').html() line extracts the HTML content of the ul element based on the provided CSS selector.
Make sure to inspect the web page's HTML structure to find the appropriate CSS selector for your ul element. You can use browser developer tools to inspect the page source and identify the CSS selector that targets the specific ul you want to scrape.
To save cookies in SQLite3 using Selenium, you'll need to follow these steps:
1. Install the required packages: Make sure you have Selenium and SQLite3 installed. You can install SQLite3 using pip:
pip install sqlite3
2. Connect to the SQLite3 database: Before saving cookies to SQLite3, you need to establish a connection to the database.
import sqlite3
# Connect to the SQLite3 database (or create it if it doesn't exist)
conn = sqlite3.connect("cookies.db")
cursor = conn.cursor()
# Create the cookies table if it doesn't exist
cursor.execute("""
CREATE TABLE IF NOT EXISTS cookies (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
value TEXT NOT NULL,
domain TEXT NOT NULL,
path TEXT NOT NULL,
expiry TEXT NOT NULL
)
""")
# Commit the changes and close the connection
conn.commit()
conn.close()
3. Save cookies to SQLite3 using Selenium: In your Selenium code, you can save cookies to the SQLite3 database by iterating through the cookies in the browser and inserting them into the database.
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import sqlite3
# Set the path to the ChromeDriver executable
chrome_driver_path = "path/to/chromedriver"
# Set the preference to save downloaded files with a specific name pattern
options = Options()
options.add_argument("download.default_directory='path/to/download/folder'")
options.add_argument(f"download.download_path='path/to/download/folder'")
options.add_preference("download.filename_template", "%f - %r")
# Initialize the Chrome WebDriver with the specified options
driver = webdriver.Chrome(executable_path=chrome_driver_path, options=options)
# Your Selenium code goes here
# Connect to the SQLite3 database
conn = sqlite3.connect("cookies.db")
cursor = conn.cursor()
# Get all cookies from the browser
cookies = driver.get_cookies()
# Insert cookies into the SQLite3 database
for cookie in cookies:
cursor.execute("""
INSERT INTO cookies (name, value, domain, path, expiry)
VALUES (?, ?, ?, ?, ?)
""", (cookie['name'], cookie['value'], cookie['domain'], cookie['path'], cookie['expiry']))
# Commit the changes and close the connection
conn.commit()
conn.close()
# Your code to save the cookies to SQLite3
# Close the browser
driver.quit()
Replace path/to/chromedriver, path/to/download/folder, and %f - %r with the appropriate values for your setup.
This example saves the cookies from the browser to the SQLite3 database. You can modify the code to load cookies from the database and set them in the browser as needed.
In the browser menu (top right corner), find "Settings", and then, under "Network settings", go to "Settings" to select "Manual network configuration". Enter, depending on your network protocol, the IP address, the port and click on "OK". Open any website and in the window that appears, enter the proxy password and login, then click "Ok" again. A successful connection to the site means that the setup is successfully completed.
Paid proxies are definitely better and more reliable than free ones. How do you test them? You can simply use the Hidemy Name service. It also shows which protocols the service uses and how reliable the connection is.
What else…