IP | Country | PORT | ADDED |
---|---|---|---|
82.119.96.254 | sk | 80 | 49 minutes ago |
46.105.105.223 | gb | 44290 | 49 minutes ago |
39.175.77.7 | cn | 30001 | 49 minutes ago |
46.183.130.89 | ru | 1080 | 49 minutes ago |
183.215.23.242 | cn | 9091 | 49 minutes ago |
125.228.94.199 | tw | 4145 | 49 minutes ago |
50.207.199.81 | us | 80 | 49 minutes ago |
189.202.188.149 | mx | 80 | 49 minutes ago |
50.169.222.243 | us | 80 | 49 minutes ago |
50.168.72.116 | us | 80 | 49 minutes ago |
60.217.64.237 | cn | 35292 | 49 minutes ago |
23.247.136.254 | sg | 80 | 49 minutes ago |
54.37.86.163 | fr | 26701 | 49 minutes ago |
190.58.248.86 | tt | 80 | 49 minutes ago |
87.248.129.26 | ae | 80 | 49 minutes ago |
125.228.143.207 | tw | 4145 | 49 minutes ago |
211.128.96.206 | 80 | 49 minutes ago | |
122.116.29.68 | tw | 4145 | 49 minutes ago |
47.56.110.204 | hk | 8989 | 49 minutes ago |
185.10.129.14 | ru | 3128 | 49 minutes ago |
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The easiest way is to install a program that redirects all traffic through a proxy server. And in iOS, this can be set up through the system settings. Some Android phones have a VPN item in the settings menu, which also allows you to use an individual proxy.
To scrape currency rates, you can use various financial data sources that provide reliable and up-to-date exchange rate information. However, keep in mind that scraping financial data may be subject to the terms of service of the respective websites, and it's crucial to comply with their policies.
Here are some legitimate alternatives to scraping:
Use a Financial Data API: Many financial data providers offer APIs that provide real-time and historical exchange rate data. Examples include:
These services often require an API key, and they may have free and paid plans with different levels of access.
Central Banks and Financial Authorities: Some central banks and financial authorities publish exchange rate information on their official websites. For example, the European Central Bank (ECB) provides daily updated exchange rates.
Financial News Websites: Financial news websites often display live exchange rates. You can check websites like Bloomberg, Reuters, or CNBC.
Remember to always check the terms of service and licensing agreements of any data provider you choose to use. Using a legitimate API is generally more reliable and ensures that you're accessing accurate and authorized data.
Avoid scraping from websites that explicitly prohibit scraping or do not provide permission for such activities. Unauthorized scraping may violate terms of service and legal agreements.
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.
Automating login to Discord using Selenium involves interacting with the web elements on the Discord login page. Here's an example using Python with Selenium to automate the login process:
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
# Replace these with your Discord login credentials
email = "[email protected]"
password = "your_password"
# Create a WebDriver instance (assuming Chrome in this example)
driver = webdriver.Chrome()
try:
# Navigate to the Discord login page
driver.get("https://discord.com/login")
# Wait for the page to load
time.sleep(2)
# Find the email input field and enter your email
email_input = driver.find_element("name", "email")
email_input.send_keys(email)
# Find the password input field and enter your password
password_input = driver.find_element("name", "password")
password_input.send_keys(password)
# Submit the login form
password_input.send_keys(Keys.RETURN)
# Wait for the login process to complete (adjust the time as needed)
time.sleep(5)
# Once logged in, you can perform other actions as needed
finally:
# Close the browser window
driver.quit()
"[email protected]"
and "your_password"
with your Discord email and password.webdriver.Chrome()
creates a Chrome WebDriver instance. Make sure you have the ChromeDriver executable in your system's PATH or provide the path explicitly.driver.get("https://discord.com/login")
navigates to the Discord login page.time.sleep()
is used to wait for the page to load and for the login process to complete. You may need to adjust the sleep duration based on your system and network speed.Keys.RETURN
is used to simulate pressing the Enter key, submitting the login form.After logging in, you can continue with additional actions or navigate to other pages within Discord.
If PyCharm Community Edition (PyCharm CE) has stopped recognizing the Selenium package, it could be due to various reasons. Here are some steps you can take to troubleshoot and resolve the issue:
Check Virtual Environment:
Reinstall Selenium:
Try reinstalling the Selenium package in your project. Open the terminal in PyCharm and run the following command:
pip uninstall selenium
pip install selenium
PyCharm Cache:
Project Interpreter:
Check for Typos and Case Sensitivity:
Ensure that your import statements and references to the Selenium package are correct. Python is case-sensitive, so selenium
should be in lowercase.
from selenium import webdriver
Restart PyCharm:
Check for Python File Naming Conflicts:
Check for Project Integrity:
Update PyCharm:
External Factors:
Check Project SDK:
Check for IDE-Specific Issues:
After trying these steps, you should be able to resolve the issue of PyCharm CE not recognizing the Selenium package. If the problem persists, additional details about error messages or symptoms would be helpful for further assistance.
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