Proxy Typeface

The easiest option is to use ready-made online proxy checkers. For example, Hidemy.name, which shows the type of protocol used. Or you can simply run Speedtest - this will show you the bandwidth and response speed (ping).

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:

• We define a Person struct that conforms to the Codable protocol. The struct's properties match the keys in the JSON data.
• We create a JSON string and convert it to Data using data(using:).
• We use 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.

Building a chain of proxies in Selenium involves configuring a WebDriver with a Proxy object that represents a chain of proxies. Here's an example using Python with Selenium and the Chrome WebDriver:

from selenium import webdriver
from selenium.webdriver.common.proxy import Proxy, ProxyType

# Create a Proxy object for the first proxy in the chain
proxy1 = Proxy()
proxy1.http_proxy = "http://proxy1.example.com:8080"
proxy1.ssl_proxy = "http://proxy1.example.com:8080"
proxy1.proxy_type = ProxyType.MANUAL

# Create a Proxy object for the second proxy in the chain
proxy2 = Proxy()
proxy2.http_proxy = "http://proxy2.example.com:8080"
proxy2.ssl_proxy = "http://proxy2.example.com:8080"
proxy2.proxy_type = ProxyType.MANUAL

# Create a Proxy object for the final proxy in the chain
proxy3 = Proxy()
proxy3.http_proxy = "http://proxy3.example.com:8080"
proxy3.ssl_proxy = "http://proxy3.example.com:8080"
proxy3.proxy_type = ProxyType.MANUAL

# Create a chain of proxies
proxies_chain = f"{proxy1.proxy, proxy2.proxy, proxy3.proxy}"

# Set up ChromeOptions with the proxy chain
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument(f"--proxy-server={proxies_chain}")

# Create the WebDriver with ChromeOptions
driver = webdriver.Chrome(options=chrome_options)

# Now you can use the driver with the proxy chain for your automation tasks
driver.get("https://example.com")

# Close the browser window when done
driver.quit()

In this example:

Three Proxy objects (proxy1, proxy2, and proxy3) are created, each representing a different proxy in the chain. You need to replace the placeholder URLs (http://proxy1.example.com:8080, etc.) with the actual proxy server URLs.

The ProxyType.MANUAL option is used to indicate that the proxy settings are configured manually.

The proxies_chain variable is a comma-separated string representing the chain of proxies.

The --proxy-server option is added to ChromeOptions to specify the proxy chain.

A Chrome WebDriver instance is created with the configured ChromeOptions.

It means a proxy that has no access to the Internet. It is created using special software on the user's computer. Most often it is used to check the performance of the created site or web-application.

Text parsing is the collection of text information, which is then converted either to form a log file or to perform the task set by the developer.