IP | Country | PORT | ADDED |
---|---|---|---|
97.74.87.226 | sg | 80 | 2 minutes ago |
74.119.144.60 | us | 4145 | 2 minutes ago |
116.202.113.187 | de | 60458 | 2 minutes ago |
154.16.146.48 | us | 80 | 2 minutes ago |
41.230.216.70 | tn | 80 | 2 minutes ago |
89.145.162.81 | de | 3128 | 2 minutes ago |
202.85.222.115 | cn | 18081 | 2 minutes ago |
125.228.143.207 | tw | 4145 | 2 minutes ago |
194.219.134.234 | gr | 80 | 2 minutes ago |
212.69.125.33 | ru | 80 | 2 minutes ago |
158.255.77.169 | ae | 80 | 2 minutes ago |
213.143.113.82 | at | 80 | 2 minutes ago |
62.99.138.162 | at | 80 | 2 minutes ago |
82.119.96.254 | sk | 80 | 2 minutes ago |
83.1.176.118 | pl | 80 | 2 minutes ago |
203.99.240.182 | jp | 80 | 2 minutes ago |
116.202.113.187 | de | 60498 | 2 minutes ago |
85.8.68.2 | de | 80 | 2 minutes ago |
158.255.77.166 | ae | 80 | 2 minutes ago |
190.58.248.86 | tt | 80 | 2 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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If you are interested in a quality and fast proxy server, do not look for it among the free options. All of them, although they seem to be profitable, in fact do not differ in duration of work and speed. It is recommended to buy quality proxies from reputable proxy service providers that are widely available on the Internet.
Select the "Proxy" tab in the "Network" window, then click on Win+C and find the "Settings" item. In the window that opens, stop at "Change computer settings" and go to "Network". Select the "Proxy" line here and disable the proxy functionality.
Google Chrome doesn't have a built-in function to work with a proxy server, although there is such an item in the settings. But when you click on it, you are automatically "redirected" to the standard proxy settings in Windows (or any other operating system).
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.
To pass a Selenium WebDriver instance to a Python decorator, you can create a custom decorator that takes the WebDriver instance as an argument. Here's an example of how to do this:
First, create a custom decorator that accepts the WebDriver instance:
def webdriver_decorator(driver):
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
return func(driver, *args, **kwargs)
return wrapper
return decorator
Create a function that takes the WebDriver instance as an argument and performs the desired action:
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
def my_function(driver, search_query):
driver.get('https://example.com')
search_box = WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.ID, 'search-box')))
search_box.send_keys(search_query)
search_box.send_keys(Keys.RETURN)
Apply the custom decorator to the function and pass the WebDriver instance:
@webdriver_decorator
def my_function_with_decorator(driver, search_query):
return my_function(driver, search_query)
Now you can use the decorated function and pass the WebDriver instance:
driver = webdriver.Chrome()
driver.get('https://example.com')
search_results = my_function_with_decorator(driver, 'your search query')
In this example, the my_function_with_decorator function is the same as the my_function function, but it is wrapped by the webdriver_decorator. When you call my_function_with_decorator, you need to pass the WebDriver instance as the first argument.
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