IP | Country | PORT | ADDED |
---|---|---|---|
50.207.199.83 | us | 80 | 58 minutes ago |
158.255.77.169 | ae | 80 | 58 minutes ago |
50.239.72.18 | us | 80 | 58 minutes ago |
203.99.240.182 | jp | 80 | 58 minutes ago |
50.223.246.239 | us | 80 | 58 minutes ago |
50.172.39.98 | us | 80 | 58 minutes ago |
50.168.72.113 | us | 80 | 58 minutes ago |
213.143.113.82 | at | 80 | 58 minutes ago |
194.158.203.14 | by | 80 | 58 minutes ago |
50.171.122.30 | us | 80 | 58 minutes ago |
80.120.130.231 | at | 80 | 58 minutes ago |
41.230.216.70 | tn | 80 | 58 minutes ago |
203.99.240.179 | jp | 80 | 58 minutes ago |
50.175.123.233 | us | 80 | 58 minutes ago |
85.215.64.49 | de | 80 | 58 minutes ago |
50.207.199.85 | us | 80 | 58 minutes ago |
97.74.81.253 | sg | 21557 | 58 minutes ago |
50.223.246.236 | us | 80 | 58 minutes ago |
125.228.143.207 | tw | 4145 | 58 minutes ago |
50.221.74.130 | us | 80 | 58 minutes ago |
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To quickly scrape a large number of sites using Node.js, you can leverage asynchronous programming and utilize libraries like axios for making HTTP requests and cheerio for parsing HTML. Additionally, you may consider using the p-queue library to manage the concurrency and control the rate of requests. Here's a basic example to get you started
Install Required Packages:
npm install axios cheerio p-queue
Create a Scraper Script:
const axios = require('axios');
const cheerio = require('cheerio');
const PQueue = require('p-queue');
// List of sites to scrape
const sites = [
'https://example1.com',
'https://example2.com',
// Add more URLs as needed
];
// Set the concurrency level (adjust as needed)
const concurrency = 5;
// Initialize a queue with concurrency control
const queue = new PQueue({ concurrency });
// Function to scrape a single site
async function scrapeSite(url) {
try {
const response = await axios.get(url);
const $ = cheerio.load(response.data);
// Use Cheerio to parse and extract data
const title = $('title').text();
console.log(`Scraped ${url} - Title: ${title}`);
} catch (error) {
console.error(`Error scraping ${url}: ${error.message}`);
}
}
// Enqueue scraping tasks for each site
sites.forEach((site) => {
queue.add(() => scrapeSite(site));
});
// Wait for all tasks to complete
queue.onIdle().then(() => {
console.log('All scraping tasks completed.');
});
This example uses axios for making HTTP requests, cheerio for HTML parsing, and p-queue for controlling concurrency.
Run the Script:
node your_scraper_script.js
Adjust the sites array with the URLs you want to scrape.
This example uses a simple queue system to control the number of concurrent requests, preventing potential issues with rate limiting or overwhelming the target websites. However, be mindful of the websites' terms of service and robots.txt rules to avoid scraping restrictions.
If you're trying to integrate Selenium into a Java project, you'll need to use the WebDriver for Java API. Here's a step-by-step guide on how to set up Selenium with a Java project
Add Selenium dependencies to your project:
If you're using Maven, add the following dependencies to your pom.xml file:
org.seleniumhq.selenium
selenium-java
3.141.59
org.seleniumhq.selenium
selenium-chrome-driver
3.141.59
If you're using Gradle, add the following dependencies to your build.gradle file:
dependencies {
implementation 'org.seleniumhq.selenium:selenium-java:3.141.59'
implementation 'org.seleniumhq.selenium:selenium-chrome-driver:3.141.59'
}
Create a Java class for your Selenium test:
Create a new Java class for your test, for example, DropdownExample.java.
Write the test code:
Here's a simple example of how to write a test that selects an option from a drop-down menu:
import org.openqa.selenium.By;
import org.openqa.selenium.WebDriver;
import org.openqa.selenium.WebElement;
import org.openqa.selenium.chrome.ChromeDriver;
public class DropdownExample {
public static void main(String[] args) {
// Set the path to the ChromeDriver executable
System.setProperty("webdriver.chrome.driver", "/path/to/chromedriver");
// Create a new instance of the ChromeDriver
WebDriver driver = new ChromeDriver();
// Navigate to the webpage containing the drop-down menu
driver.get("http://example.com");
// Locate the drop-down menu element using its ID
WebElement dropDown = driver.findElement(By.id("dropdown-menu-id"));
// Create a Select object to interact with the drop-down menu
Select select = new Select(dropDown);
// Select an option from the drop-down menu by its value attribute
select.selectByValue("option-value");
// Close the WebDriver instance
driver.quit();
}
}
Run the test:
You can run your test using your preferred Java IDE or by using the command line. If you're using Maven, you can run your test with the following command:
mvn test
If you're using Gradle, you can run your test with the following command:
gradle test
This should help you integrate Selenium with your Java project and execute a test that selects an option from a drop-down menu. Make sure to replace "/path/to/chromedriver" with the actual path to your ChromeDriver executable and "http://example.com" with the URL of the webpage containing the drop-down menu.
To send a user class object over UDP, you will need to serialize the object into a format that can be transmitted over the network. Here's a step-by-step guide on how to do it in Python:
1. Import necessary libraries:
import pickle
import socket
2. Define your user class:
class User:
def __init__(self, name, age):
self.name = name
self.age = age
3. Serialize the user object using pickle:
def serialize_user(user):
return pickle.dumps(user)
4. Create a UDP socket:
def create_udp_socket(host, port):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind((host, port))
return sock
5. Send the serialized user object over UDP:
def send_user(sock, user, host, port):
serialized_user = serialize_user(user)
sock.sendto(serialized_user, (host, port))
6. Putting it all together:
if __name__ == "__main__":
user = User("John Doe", 30)
host, port = "127.0.0.1", 12345
sock = create_udp_socket(host, port)
send_user(sock, user, host, port)
On the receiving side, you will need to deserialize the received data using pickle and create a new user object from it.
It depends on how you plan to log in to Facebook. For example, if on a PC, just specify the proxy server settings in the connection properties or in the browser settings. If on a mobile (site or application), you need to specify the proxy data in the settings of the phone itself. Or you can install an application that allows you to automatically set up a VPN connection.
Before activating a proxy server in Opera, it is recommended that you clear your browsing history and cookies of sites. This is necessary to ensure that information about the computer is not transmitted during further connections. To do this, it is enough to follow the algorithm:
Open the browser.
Click on the opera icon in the upper left corner.
Hover your mouse cursor over the "History" item.
Use the option "Clear history of visits".
After that you need to specify parameters of the proxy server. To do this, perform the following actions:
Open your browser.
Click on the Opera icon in the top left corner.
Click on "Settings".
Select the "Advanced" option.
Scroll down to the "System" tab.
Click on "Open proxy settings for computer".
Click on "Network settings".
Activate the "Use a proxy server" option.
In the window that opens, specify the IP address of the proxy server. Enter the address in the field of the protocol to which the proxy server belongs. You can get this information from your provider.
Click "OK" to save your settings.
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