IP | Country | PORT | ADDED |
---|---|---|---|
192.111.134.10 | ca | 4145 | 24 minutes ago |
51.210.111.216 | fr | 11926 | 24 minutes ago |
43.133.32.76 | sg | 1777 | 24 minutes ago |
103.118.46.176 | kh | 8080 | 24 minutes ago |
45.12.132.215 | cy | 51991 | 24 minutes ago |
185.59.100.55 | de | 1080 | 24 minutes ago |
43.131.9.114 | de | 1777 | 24 minutes ago |
203.95.199.159 | kh | 8080 | 24 minutes ago |
103.63.190.72 | kh | 8080 | 24 minutes ago |
183.247.199.51 | cn | 30001 | 24 minutes ago |
203.95.197.15 | kh | 8080 | 24 minutes ago |
82.130.202.219 | es | 43429 | 24 minutes ago |
122.5.194.38 | cn | 1001 | 24 minutes ago |
47.56.110.204 | hk | 8989 | 24 minutes ago |
212.108.135.215 | cy | 9090 | 24 minutes ago |
128.199.202.122 | sg | 8080 | 24 minutes ago |
119.3.113.151 | cn | 9094 | 24 minutes ago |
161.35.70.249 | de | 80 | 24 minutes ago |
87.248.129.32 | ae | 80 | 24 minutes ago |
221.231.13.198 | cn | 1080 | 24 minutes ago |
Our proxies work perfectly with all popular tools for web scraping, automation, and anti-detect browsers. Load your proxies into your favorite software or use them in your scripts in just seconds:
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In Swift, you can use the Codable protocol to parse JSON data into Swift objects. Here's a basic example:
Assuming you have the following JSON data:
{
"name": "John Doe",
"age": 30,
"city": "New York"
}
And you want to create a Swift struct to represent this data:
import Foundation
// Define a struct conforming to Codable
struct Person: Codable {
let name: String
let age: Int
let city: String
}
// JSON data
let jsonData = """
{
"name": "John Doe",
"age": 30,
"city": "New York"
}
""".data(using: .utf8)!
// Use JSONDecoder to decode JSON data into a Person object
do {
let person = try JSONDecoder().decode(Person.self, from: jsonData)
print("Name: \(person.name)")
print("Age: \(person.age)")
print("City: \(person.city)")
} catch {
print("Error decoding JSON: \(error)")
}
In this example:
Person
struct that conforms to the Codable
protocol. The struct's properties match the keys in the JSON data.Data
using data(using:)
.JSONDecoder
to decode the JSON data into an instance of the Person
struct.Ensure that the keys in your Swift struct match the keys in your JSON data, and the data types match accordingly. The JSONDecoder
automatically maps the JSON data to the struct based on the property names.
This example assumes a simple JSON structure. If your JSON structure is more complex, you may need to define additional structs conforming to Codable
to represent nested structures.
Note: If your JSON data comes from a URL, you can also use URLSession
to fetch the data.
If you're working with Spring Boot in Java and need to parse JSON with multiple attachments, you might be dealing with a scenario involving HTTP requests with JSON payload and file attachments. In this case, you can use @RequestPart in your controller method to handle JSON and multipart requests.
Here's a basic example
Create a DTO (Data Transfer Object) class:
public class RequestDto {
private String jsonData;
private MultipartFile file1;
private MultipartFile file2;
// getters and setters
}
Create a controller with a method to handle the request:
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestPart;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.multipart.MultipartFile;
@RestController
@RequestMapping("/api")
public class ApiController {
@PostMapping("/processRequest")
public ResponseEntity processRequest(@RequestPart("requestDto") RequestDto requestDto,
@RequestPart("file1") MultipartFile file1,
@RequestPart("file2") MultipartFile file2) {
// Process JSON data in requestDto and handle file attachments
// ...
return ResponseEntity.ok("Request processed successfully");
}
}
Using tools like Postman or curl, you can send a multipart request. Here's an example using Postman:
http://localhost:8080/api/processRequest
.requestDto
, Value: {"jsonData": "your_json_data"}
file1
, Value: select a filefile2
, Value: select another fileMake sure you have the appropriate dependencies in your project for handling multipart requests. If you're using Maven, you can include the following dependency in your pom.xml
:
org.springframework.boot
spring-boot-starter-web
Adjust the example based on your specific use case and the structure of your JSON data. The key point is to use @RequestPart to handle both JSON and file attachments in the same request.
To use Selenium in Python to press a button on a site for a few seconds, you can follow these steps:
1. Install Selenium and a WebDriver for the browser you want to use (e.g., ChromeDriver for Google Chrome, GeckoDriver for Firefox).
2. Import the necessary modules in your Python script:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
3. Initialize the WebDriver and navigate to the desired website:
driver = webdriver.Chrome(executable_path='path/to/chromedriver')
driver.get('https://example.com')
4. Locate the button you want to press using one of the methods provided by Selenium, such as find_element_by_* or find_elements_by_*.
5. Use the ActionChains class to simulate a click and hold action on the button:
from selenium.webdriver.common.action_chains import ActionChains
button = driver.find_element(By.ID, 'button-id')
action = ActionChains(driver)
action.move_to_element(button).click_and_hold().perform()
# Wait for a few seconds
time.sleep(5) # Adjust the duration as needed
# Release the button
action.release().perform()
6. Close the WebDriver after the action is complete:
driver.quit()
Note: Make sure to replace 'path/to/chromedriver' with the actual path to your WebDriver executable and 'button-id' with the actual ID of the button you want to press.
Also, the time.sleep(5) function is used to simulate holding the button for a few seconds. Adjust the duration by changing the 5 to the desired number of seconds.
A transparent proxy is a type of proxy server that intercepts and processes client requests without the client's knowledge, as it operates at the network level. It is commonly used in enterprise environments for content filtering, monitoring, and control. Key characteristics include no user configuration or interaction, support for HTTP and HTTPS connections, content filtering, monitoring and reporting, and performance optimization.
In the messenger settings, go to "Data and storage" and then, in the "Proxy settings" section, click "Add proxy". You can see whether a proxy is connected in Telegram by the presence of the shield icon located in the top menu bar.
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