IP | Country | PORT | ADDED |
---|---|---|---|
32.223.6.94 | us | 80 | 45 minutes ago |
50.217.226.44 | us | 80 | 45 minutes ago |
41.207.187.178 | tg | 80 | 45 minutes ago |
50.219.249.62 | us | 80 | 45 minutes ago |
170.78.211.161 | mx | 1080 | 45 minutes ago |
203.99.240.179 | jp | 80 | 45 minutes ago |
80.228.235.6 | 80 | 45 minutes ago | |
50.239.72.17 | us | 80 | 45 minutes ago |
50.232.104.86 | us | 80 | 45 minutes ago |
50.122.86.118 | us | 80 | 45 minutes ago |
80.120.130.231 | at | 80 | 45 minutes ago |
203.99.240.182 | jp | 80 | 45 minutes ago |
50.169.222.241 | us | 80 | 45 minutes ago |
170.254.92.198 | ar | 4153 | 45 minutes ago |
190.58.248.86 | tt | 80 | 45 minutes ago |
213.33.126.130 | at | 80 | 45 minutes ago |
50.207.199.86 | us | 80 | 45 minutes ago |
72.10.164.178 | ca | 30043 | 45 minutes ago |
85.8.68.2 | de | 80 | 45 minutes ago |
84.247.168.26 | de | 1366 | 45 minutes ago |
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Go to "Settings" of the torrent, and then in the settings menu, select the subsection "Connection", which contains network connection settings. Under "Proxy" choose the type of your proxy (Socks5 proxy is recommended), then enter the IP address and proxy port in the appropriate fields, then click "Change". Now everything is ready - the torrent works through a proxy server.
To implement a constant scraping process, you can use a combination of a loop and a delay to periodically scrape data from a website. This process is often referred to as "web scraping with intervals" or "periodic scraping." Here's an example using Node.js and the axios library for making HTTP requests
Install Dependencies
Install the required npm packages:
npm install axios
Write the Scraping Script
Create a Node.js script (e.g., constant_scraping.js) with the following code:
const axios = require('axios');
async function scrapeData() {
try {
// Replace with your scraping logic
const response = await axios.get('https://example.com'); // Replace with the URL you want to scrape
console.log('Scraped data:', response.data);
// Add additional scraping logic as needed
// ...
} catch (error) {
console.error('Error during scraping:', error.message);
}
}
// Function to perform constant scraping with a specified interval
async function constantScraping(interval) {
while (true) {
await scrapeData();
await sleep(interval); // Sleep for the specified interval before the next scrape
}
}
// Function to introduce a delay using setTimeout
function sleep(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
// Set the interval (in milliseconds) for constant scraping
const scrapingInterval = 60000; // 60 seconds
// Start the constant scraping process
constantScraping(scrapingInterval);
Replace 'https://example.com' with the URL you want to scrape.
Adjust the scraping logic within the scrapeData function to meet your specific requirements.
Run the Script:
Run the script using Node.js:
node constant_scraping.js
This script defines a constantScraping function that continuously calls the scrapeData function at a specified interval using a loop and the sleep function. Adjust the interval (scrapingInterval) based on your scraping needs.
Combining Selenium with a Telegram Bot allows you to create an automated system that can interact with web pages and send updates to a Telegram chat. To achieve this, you'll need to follow these steps:
Create a Telegram Bot and get the API token.
Set up a Telegram Bot using the API token.
Use Selenium to interact with the web pages.
Send updates from the Selenium script to the Telegram Bot.
Here's a step-by-step guide:
Create a Telegram Bot and get the API token:
- Start a new chat with the BotFather (@BotFather) on Telegram.
- Send the command /newbot and follow the instructions to create a new bot.
- Note down the bot's username (e.g., YourBotName).
- Send the command /setname YourBotName to set the bot's name.
- Send the command /token to receive the API token. Save the API token securely.
Set up a Telegram Bot using the API token:
- Install a Telegram bot library, such as python-telegram-bot: pip install python-telegram-bot.
- Create a new Python script and import the required libraries:
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
import logging
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO)
Set up the Telegram Bot with the API token:
API_TOKEN = "your_telegram_bot_api_token"
updater = Updater(API_TOKEN, use_context=True)
dispatcher = updater.dispatcher
Create a function to handle incoming messages:
def echo(update, context):
context.bot.send_message(chat_id=update.effective_chat.id, text=update.message.text)
Add a command handler and message handler to the dispatcher:
start_cmd = CommandHandler('start', echo)
dispatcher.add_handler(start_cmd)
message_handler = MessageHandler(Filters.text & ~Filters.command, echo)
dispatcher.add_handler(message_handler)
Start the bot:
updater.start_polling()
updater.idle()
Use Selenium to interact with the web pages:
Create a Selenium script to interact with the web pages as needed. For example, you can use the script to scrape data, log in to a website, or perform other actions.
Send updates from the Selenium script to the Telegram Bot:
Modify the echo function in the Telegram Bot script to accept data from the Selenium script and send it as an update. You can pass the data as a string or use other formats like JSON.
Here's an example of sending data as a string:
def echo(update, context):
data = context.bot.send_message(chat_id=update.effective_chat.id, text="Received data:")
context.bot.send_message(chat_id=update.effective_chat.id, text=data)
And here's an example of sending data as JSON:
import json
def echo(update, context):
data = context.bot.send_message(chat_id=update.effective_chat.id, text="Received data:")
data_json = json.dumps(data)
context.bot.send_message(chat_id=update.effective_chat.id, text=data_json)
Now, when you run both the Selenium script and the Telegram Bot script simultaneously, the bot will receive updates with the data from the Selenium script and send it to the chat.
Remember to replace "your_telegram_bot_api_token" with your actual API token. Also, ensure that the bot has the necessary permissions to send messages in the chat where you want to receive updates.
To enable a proxy on your computer, you'll need to configure the proxy settings for your operating system and web browser. Here's a general guide for Windows and macOS, along with instructions for popular web browsers:
For Windows:
1. Press Win + I to open the Settings app.
2. Click on "Network & Internet."
3. On the left sidebar, click on "Proxy."
4. Select "Manual proxy setup" and enter the proxy server's IP address and port number. If your proxy requires a username and password, enter those as well.
5. Click "Save" or "Apply" to enable the proxy.
For macOS:
1. Open "System Preferences."
2. Click on "Network."
3. Select the network connection you want to configure (e.g., Wi-Fi or Ethernet).
4. Click on the "Proxy" tab.
5. Choose "Automatic Proxy Configuration," "Manual Proxy Configuration," or "No Proxy" based on your needs.
6. If you choose "Manual Proxy Configuration," enter the proxy server's IP address and port number. If your proxy requires a username and password, enter those as well.
Click "OK" or "Apply" to enable the proxy.
Under such parsing we mean the collection of keywords from services such as Yandex Wordstat. These data will later be required for SEO-promotion of the site. The resulting word combinations are then integrated into the content of the resource, which improves its position in SERPs on a particular topic.
What else…