IP | Country | PORT | ADDED |
---|---|---|---|
41.230.216.70 | tn | 80 | 27 minutes ago |
125.228.94.199 | tw | 4145 | 27 minutes ago |
122.116.29.68 | tw | 4145 | 27 minutes ago |
194.182.178.90 | bg | 3128 | 27 minutes ago |
81.200.241.173 | ru | 1080 | 27 minutes ago |
213.33.126.130 | at | 80 | 27 minutes ago |
195.23.57.78 | pt | 80 | 27 minutes ago |
213.143.113.82 | at | 80 | 27 minutes ago |
80.120.49.242 | at | 80 | 27 minutes ago |
62.99.138.162 | at | 80 | 27 minutes ago |
82.119.96.254 | sk | 80 | 27 minutes ago |
80.120.130.231 | at | 80 | 27 minutes ago |
168.126.68.80 | kr | 80 | 27 minutes ago |
178.207.10.33 | ru | 1080 | 27 minutes ago |
194.219.134.234 | gr | 80 | 27 minutes ago |
189.202.188.149 | mx | 80 | 27 minutes ago |
125.228.143.207 | tw | 4145 | 27 minutes ago |
41.207.187.178 | tg | 80 | 27 minutes ago |
190.58.248.86 | tt | 80 | 27 minutes ago |
203.99.240.179 | jp | 80 | 27 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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You can make sure that your IP address and confidential information is protected with the help of special online services. It is recommended to perform such checks to confirm or deny the security of personal IP on a regular basis. It will help to avoid many troubles, including blocking your work in the network.
Incoming and outgoing Internet speeds are important indicators of proxy performance because they directly influence the speed of downloading the required information. The value of the ping is important for estimating the speed - the lower the value, the better. You can find out the real speed of your proxy server with the help of proxy checker.
Scraping a large number of web pages using JavaScript typically involves the use of a headless browser or a scraping library. Puppeteer is a popular headless browser library for Node.js that allows you to automate browser actions, including web scraping.
Here's a basic example using Puppeteer:
Install Puppeteer:
npm install puppeteer
Create a JavaScript script for web scraping:
const puppeteer = require('puppeteer');
async function scrapeWebPages() {
const browser = await puppeteer.launch();
const page = await browser.newPage();
// Array of URLs to scrape
const urls = ['https://example.com/page1', 'https://example.com/page2', /* add more URLs */];
for (const url of urls) {
await page.goto(url, { waitUntil: 'domcontentloaded' });
// Perform scraping actions here
const title = await page.title();
console.log(`Title of ${url}: ${title}`);
// You can extract other information as needed
// Add a delay to avoid being blocked (customize the delay based on your needs)
await page.waitForTimeout(1000);
}
await browser.close();
}
scrapeWebPages();
Run the script:
node your-script.js
In this example:
urls
array contains the list of web pages to scrape. You can extend this array with the URLs you need.page.title()
.Keep in mind the following:
In PHP, you can generate JSON data using the json_encode function, and in Swift (iOS/macOS), you can parse it using JSONSerialization or Codable depending on your needs.
Here's an example of generating JSON in PHP and parsing it using NSJSONSerialization in Swift
PHP (Generate JSON):
'John Doe',
'age' => 25,
'city' => 'New York',
'is_student' => true
);
// Encode data to JSON
$jsonData = json_encode($data);
// Output JSON
echo $jsonData;
?>
In this PHP script, the json_encode function is used to convert the PHP associative array into a JSON string.
Swift (Parse JSON using NSJSONSerialization):
import Foundation
// Sample JSON data as a string
let jsonString = """
{
"name": "John Doe",
"age": 25,
"city": "New York",
"is_student": true
}
"""
// Convert JSON string to Data
if let jsonData = jsonString.data(using: .utf8) {
do {
// Parse JSON data using NSJSONSerialization
if let jsonObject = try JSONSerialization.jsonObject(with: jsonData, options: []) as? [String: Any] {
// Access parsed JSON data
let name = jsonObject["name"] as? String ?? ""
let age = jsonObject["age"] as? Int ?? 0
let city = jsonObject["city"] as? String ?? ""
let isStudent = jsonObject["is_student"] as? Bool ?? false
// Print parsed data
print("Name: \(name)")
print("Age: \(age)")
print("City: \(city)")
print("Is Student: \(isStudent)")
}
} catch {
print("Error parsing JSON: \(error.localizedDescription)")
}
}
In this Swift code, the JSONSerialization class is used to parse the JSON string (converted to Data) into a Swift dictionary ([String: Any]). You can then access individual values from the parsed JSON data.
Note: Ensure that the JSON structure in your PHP script and Swift code aligns, and handle errors appropriately during parsing. Additionally, consider using Codable in Swift for a more convenient way to work with JSON data if your data structure matches your Swift model.
To get the content of an HTML element (such as text inside a tag) using Selenium, you can use the text property of the WebElement. Here's an example in Python:
from selenium import webdriver
# Create a WebDriver instance (e.g., Chrome)
driver = webdriver.Chrome()
# Navigate to a webpage
driver.get("https://example.com")
# Find an element by its CSS selector (replace with your actual selector)
element = driver.find_element_by_css_selector("h1")
# Get the text content of the element
element_text = element.text
print("Element Text:", element_text)
# Close the browser when done
driver.quit()
In this example:
WebDriver
instance is created (using Chrome in this case).find_element_by_css_selector
. You can use other locators such as ID, class name, XPath, etc., based on your needs.text
property of the WebElement
is used to retrieve the text content of the element.Adjust the CSS selector in the find_element_by_css_selector
method to match the HTML element you want to extract content from.
Remember that the text
property returns the visible text of the element, excluding any hidden text or text inside child elements. If you need to capture all text content, including hidden elements, you may need to use other methods to extract HTML content and then parse it accordingly.
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