Leet Proxy

Data parsing in most cases refers to the collection of technical or other information. For example, a local proxy server can be used for parsing "log data". That is, information about the work of the site, the application, which in the future will be useful for developers to find and fix various bugs.

If you are parsing a site using JSoup in a Java application and you want to introduce a delay between requests to avoid being blocked or rate-limited by the website, you can use Thread.sleep to pause the execution for a specified duration. Here's a basic example

First, make sure you have the JSoup library included in your project. If you're using Maven, you can add the following dependency to your pom.xml:

    org.jsoup
    jsoup
    1.14.3 

Now, here's an example Java program using JSoup with a delay between requests:

import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;

import java.io.IOException;

public class WebScraperWithDelay {

    public static void main(String[] args) {
        // Replace with the URL you want to scrape
        String url = "https://example.com";
        
        // Number of milliseconds to wait between requests
        long delayMillis = 2000; // 2 seconds
        
        try {
            for (int i = 0; i < 5; i++) {
                // Make the HTTP request using JSoup
                Document document = Jsoup.connect(url).get();

                // Process the document as needed
                System.out.println("Title: " + document.title());

                // Introduce a delay between requests
                Thread.sleep(delayMillis);
            }
        } catch (IOException | InterruptedException e) {
            e.printStackTrace();
        }
    }
}

In this example:

1. Jsoup.connect(url).get() is used to make an HTTP request and retrieve the HTML document from the specified URL.
2. Thread.sleep(delayMillis) introduces a delay of 2 seconds between requests. You can adjust the value of delayMillis based on your needs.

To scrape Binance courses data in Python, you can use web scraping libraries such as BeautifulSoup and requests. Here's an example using BeautifulSoup to scrape Binance courses

Install required libraries:

pip install beautifulsoup4 requests

Write the scraping code:

import requests
from bs4 import BeautifulSoup

def scrape_binance_courses():
    url = 'https://www.binance.com/en/academy/courses'

    # Send a GET request to the URL
    response = requests.get(url)

    # Check if the request was successful (status code 200)
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')

        # Find the container containing course information
        course_container = soup.find('div', {'class': 'css-7sfsgn'})

        if course_container:
            # Extract course details
            courses = course_container.find_all('div', {'class': 'css-1jiwjuo'})
            
            for course in courses:
                course_title = course.find('div', {'class': 'css-1mg41yd'}).text
                course_description = course.find('div', {'class': 'css-1q62c8m'}).text

                print(f"Title: {course_title}\nDescription: {course_description}\n")

        else:
            print("Course container not found.")
    else:
        print(f"Failed to retrieve the webpage. Status code: {response.status_code}")

# Run the scraping function
scrape_binance_courses()

This example sends a GET request to the Binance Academy courses page, parses the HTML content using BeautifulSoup, and extracts course details such as title and description.

Run the code:

python your_script_name.py

Load testing with Selenium involves simulating a large number of concurrent users to assess how a web application performs under different levels of load. While Selenium itself is primarily designed for functional testing and browser automation, you can use additional tools and frameworks in combination with Selenium to perform load testing. Here are some approaches:

1. Using Selenium Grid with Multiple Nodes:

   • Selenium Grid allows you to distribute test execution across multiple machines, called nodes. You can set up a Selenium Grid with multiple nodes, each running different browser instances.
   • Tools like JMeter or Gatling can be used to simulate concurrent user load and distribute the load across the Selenium Grid.
   • The Selenium Grid setup allows you to scale your load tests by adding more nodes.

2. Combining Selenium with JMeter:

   • JMeter is a popular open-source load testing tool. While JMeter is not designed for browser automation, you can use it to simulate user interactions at the HTTP protocol level.
   • Record user scenarios with JMeter's HTTP(S) Test Script Recorder while performing actions in the browser. Convert recorded scenarios to JMeter test plans.
   • Run the JMeter test plans to simulate concurrent users, and monitor the performance of your web application.

3. Using Headless Browsers:

   • Headless browsers (browsers without a graphical user interface) can be used to simulate user interactions without the overhead of rendering pages.
   • Tools like Selenium with headless Chrome or headless Firefox can be used for load testing. Run multiple instances of headless browsers simultaneously to simulate concurrent users.

4. Combining Selenium with Gatling:

   • Gatling is another popular open-source load testing tool that is scriptable in Scala.
   • You can write Gatling scripts to simulate user scenarios using the Selenium DSL (Domain Specific Language) provided by Gatling.
   • Gatling can be used to generate a high load on your web application and measure performance metrics.

5. Using Cloud-Based Load Testing Services:

   • Cloud-based load testing services like BlazeMeter, Flood Element, or BrowserStack can be used for Selenium-based load testing.
   • These services provide scalable infrastructure for running Selenium tests in parallel to simulate a large number of concurrent users.

6. Custom Solutions with WebDriver:

   • You can write custom scripts using Selenium WebDriver to simulate user interactions and run them concurrently using a scripting or programming language (e.g., Python, Java, etc.).
   • Implement logic to run multiple threads or processes, each simulating a user. Be cautious about the limitations and synchronization issues that may arise in a multithreaded environment.

When performing load testing with Selenium, consider the following:

• Monitor the performance of your web application to identify bottlenecks.
• Be mindful of the limitations of the testing environment, especially when running tests on local machines.
• Ensure that your load testing approach aligns with your specific testing goals and requirements.

It seems like you're experiencing issues with using jQuery in your Codeception tests that use Selenium WebDriver 2.47.1. There could be several reasons for this issue, and we can try to troubleshoot and find a solution.

$I->executeScript("$('selector').text('new text');");

Replace 'selector' with the appropriate jQuery selector and 'new text' with the text you want to set.

$I->seeElementText('selector', 'new text');

Replace 'selector' with the appropriate jQuery selector and 'new text' with the text you want to set.

If none of these solutions work, please provide more information about the specific issue you're facing, such as error messages or the exact code causing the problem. This will help in diagnosing the issue more accurately and providing a better solution.