Douk Proxy

Find a working proxy and start installing it in the messenger. Telegram has bots that allow you to get several proxies for free, including @socks5_bot. When you launch it, once the location is selected, you'll get an IP address, port, username and password. Go through "Settings" to "Data and Disk" and then to "Proxy Settings" and enter the required data in the highlighted fields: server, port, username and password.

When parsing RSS feeds and avoiding duplicates, you typically need to maintain a record of previously parsed items and compare new items to this record to ensure that you don't process the same item multiple times. Below is an example using Node.js and the rss-parser library, which simplifies working with RSS feeds.

Install Dependencies

Install the required npm package:

npm install rss-parser

Write the Parsing Script

Create a Node.js script (e.g., parse_rss.js) with the following code:

const Parser = require('rss-parser');
const fs = require('fs');

const parser = new Parser();
const rssFeedUrl = 'https://example.com/rss-feed'; // Replace with the URL of the RSS feed

// Function to load and parse the previously processed items
function loadProcessedItems() {
    try {
        const data = fs.readFileSync('processedItems.json');
        return JSON.parse(data);
    } catch (error) {
        return [];
    }
}

// Function to save the processed items to a file
function saveProcessedItems(processedItems) {
    fs.writeFileSync('processedItems.json', JSON.stringify(processedItems, null, 2));
}

async function parseRSS() {
    const processedItems = loadProcessedItems();
    const feed = await parser.parseURL(rssFeedUrl);

    for (const item of feed.items) {
        // Check if the item has been processed before
        if (!processedItems.includes(item.link)) {
            // Process the new item (replace with your processing logic)
            console.log('New item found:', item.title);

            // Add the item link to the list of processed items
            processedItems.push(item.link);
        }
    }

    // Save the updated list of processed items
    saveProcessedItems(processedItems);
}

// Run the RSS parsing process
parseRSS();

Replace 'https://example.com/rss-feed' with the URL of the RSS feed you want to parse.

Run the Script

Run the script using Node.js:

node parse_rss.js

This script uses the rss-parser library to fetch and parse an RSS feed. It maintains a list of processed item links in a JSON file (processedItems.json). Each time the script runs, it loads the processed items, compares them to the new items in the feed, processes only the new items, and then updates the list of processed items.

To wait for a button to be clickable using Selenium, you can use the WebDriverWait class along with the expected_conditions module. Here's an example using Python:

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

# Set the path to the ChromeDriver executable
chrome_driver_path = "path/to/chromedriver"

# Initialize the Chrome WebDriver
driver = webdriver.Chrome(executable_path=chrome_driver_path)

# Your Selenium code goes here

# Wait for the button to be clickable
button = WebDriverWait(driver, 10).until(
    EC.element_to_be_clickable((By.ID, "button-id"))
)

# Click the button
button.click()

# Your code after clicking the button

# Close the browser
driver.quit()

Replace path/to/chromedriver with the appropriate path to your ChromeDriver executable and "button-id" with the ID of the button you want to wait for.

In this example, WebDriverWait will wait for up to 10 seconds for the button with the specified ID to become clickable. If the button is not clickable within the specified time, a TimeoutException will be raised.

You can also use other expected_conditions such as visibility_of_element_located, presence_of_element_located, or staleness_of depending on your specific use case.

To optimize the performance of Selenium with Chrome and Chromedriver, you can consider several strategies:

Latest Versions:
Ensure that you are using the latest version of Chrome and Chromedriver. They are frequently updated to include performance improvements and bug fixes.

Chromedriver Version Compatibility:
Make sure that the version of Chromedriver you are using is compatible with the version of Chrome installed on your machine. Mismatched versions may lead to unexpected behavior.

Headless Mode:
If you don't need to see the browser window during automation, consider running Chrome in headless mode. Headless mode can significantly improve the speed of browser automation.

chrome_options.add_argument('--headless')

Chrome Options:
Experiment with different Chrome options to see how they affect performance. For example, you can set options related to GPU usage, image loading, and more.

chrome_options.add_argument('--disable-gpu')
chrome_options.add_argument('--blink-settings=imagesEnabled=false')

Page Loading Strategy:
Adjust the page loading strategy. For example, you can set pageLoadStrategy to 'eager' or 'none' if it fits your use case.

chrome_options.add_argument('--pageLoadStrategy=eager')

Timeouts:
Adjust timeouts appropriately. For example, setting script timeouts or implicit waits can help to avoid unnecessary waiting times.

driver.set_script_timeout(10)
driver.implicitly_wait(5)

Parallel Execution:
Consider parallel execution of tests. Running tests in parallel can significantly reduce overall execution time.

Browser Window Size:
Set a specific window size to avoid unnecessary rendering.

chrome_options.add_argument('window-size=1920x1080')

Disable Extensions:
Disable unnecessary Chrome extensions during testing.

chrome_options.add_argument('--disable-extensions')

Logging:
Enable logging to identify any issues or bottlenecks.

service_args = ['--verbose', '--log-path=/path/to/chromedriver.log']
service = ChromeService(executable_path='/path/to/chromedriver', service_args=service_args)

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.