Data Security Proxies

If you're parsing XML in Golang and the result is not being saved in the structure as expected, there might be issues with your XML parsing code. Below is a simple example demonstrating how to parse XML and save the result in a structure using the encoding/xml package in Golang.

Assuming you have the following XML structure:

    John Doe
    30

And you want to parse it into the following Go structure:

package main

import (
	"encoding/xml"
	"fmt"
)

type User struct {
	Name string `xml:"name"`
	Age  int    `xml:"age"`
}

func main() {
	xmlData := `John Doe30`

	var user User

	// Unmarshal XML into the User structure
	err := xml.Unmarshal([]byte(xmlData), &user)
	if err != nil {
		fmt.Println("Error:", err)
		return
	}

	// Print the result
	fmt.Printf("Name: %s\nAge: %d\n", user.Name, user.Age)
}

In this example:

The User struct tags (e.g., xml:"name") indicate the mapping between the XML elements and the fields in the structure.

xml.Unmarshal is used to parse the XML data and populate the User structure.

Ensure that your XML data and struct tags match correctly. If the XML structure or tags are different, you might encounter issues with parsing.

If you continue to face problems, please provide more details or your specific code for further assistance.

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");
    }
}

3. Send a multipart request with JSON and attachments:

Using tools like Postman or curl, you can send a multipart request. Here's an example using Postman:

• Set the request type to POST.
• Set the URL to http://localhost:8080/api/processRequest.
• Under the "Body" tab, select "form-data".
• Add three key-value pairs:
  • Key: requestDto, Value: {"jsonData": "your_json_data"}
  • Key: file1, Value: select a file
  • Key: file2, Value: select another file

Make 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 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.

In JavaScript with Selenium, you can save and reuse cookies using the WebDriver's manage().getCookies() and manage().addCookie() methods. Here's a simple example:

const { Builder } = require('selenium-webdriver');
const firefox = require('selenium-webdriver/firefox');

// Create a new instance of the Firefox driver
const driver = new Builder()
  .forBrowser('firefox')
  .setFirefoxOptions(new firefox.Options().headless())
  .build();

// Navigate to a webpage
async function navigateToPage() {
  await driver.get('https://example.com');
}

// Save cookies
async function saveCookies() {
  const cookies = await driver.manage().getCookies();
  // Save the cookies to a file or some storage mechanism
  // For simplicity, we'll just print them here
  console.log('Cookies:', cookies);
}

// Reuse cookies
async function reuseCookies(savedCookies) {
  // Delete existing cookies
  await driver.manage().deleteAllCookies();

  // Add the saved cookies to the browser session
  for (const cookie of savedCookies) {
    await driver.manage().addCookie(cookie);
  }

  // Navigate to a page to apply the cookies
  await navigateToPage();
}

// Example usage
(async () => {
  await navigateToPage(); // Navigate to the page and set some initial cookies

  await saveCookies(); // Save the cookies

  // Close and reopen the browser or navigate to a different page
  // ...

  // Reuse the saved cookies
  await reuseCookies(savedCookies);
})();

The navigateToPage function navigates to a webpage and sets some initial cookies.

The saveCookies function retrieves the current cookies using manage().getCookies() and prints them. You would typically save them to a file or some storage mechanism.

The reuseCookies function deletes existing cookies, then adds the saved cookies back to the browser session using manage().addCookie(). It then navigates to a page to apply the cookies.

The example usage section demonstrates how to use these functions in a sequence.

You need to go to "Settings", click on "WiFi", select the current network to which the smartphone is connected, tap on "Proxy settings". And then - deactivate the item.