IP | Country | PORT | ADDED |
---|---|---|---|
23.247.136.248 | sg | 80 | 9 minutes ago |
61.7.147.227 | th | 4145 | 9 minutes ago |
213.33.126.130 | at | 80 | 9 minutes ago |
183.215.23.242 | cn | 9091 | 9 minutes ago |
91.225.77.138 | ru | 1080 | 9 minutes ago |
187.63.9.62 | br | 63253 | 9 minutes ago |
188.112.179.204 | lv | 80 | 9 minutes ago |
112.86.55.159 | cn | 81 | 9 minutes ago |
185.10.129.14 | ru | 3128 | 9 minutes ago |
194.158.203.14 | by | 80 | 9 minutes ago |
106.107.183.19 | tw | 80 | 9 minutes ago |
79.110.202.184 | pl | 8081 | 9 minutes ago |
37.18.73.60 | ru | 5566 | 9 minutes ago |
61.158.175.38 | cn | 9002 | 9 minutes ago |
70.166.167.55 | us | 57745 | 9 minutes ago |
201.148.125.126 | br | 4153 | 9 minutes ago |
93.117.72.27 | md | 55770 | 9 minutes ago |
221.144.252.148 | kr | 5678 | 9 minutes ago |
62.162.193.125 | mk | 8081 | 9 minutes ago |
212.69.125.33 | ru | 80 | 9 minutes ago |
Our proxies work perfectly with all popular tools for web scraping, automation, and anti-detect browsers. Load your proxies into your favorite software or use them in your scripts in just seconds:
Connection formats you know and trust: IP:port or IP:port@login:password.
Any programming language: Python, JavaScript, PHP, Java, and more.
Top automation and scraping tools: Scrapy, Selenium, Puppeteer, ZennoPoster, BAS, and many others.
Anti-detect browsers: Multilogin, GoLogin, Dolphin, AdsPower, and other popular solutions.
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Most often Yandex bans only public proxies that can be used by many users at the same time. The main reason for this is the high probability of cyber-attacks. Proxies are often used for DDoS, which means artificially overloading the server by sending a large number of requests to it every second.
In Windows, proxy settings for local connections are made through the "Network and Sharing Center" (from the "Control Panel"). You need to select "Browser Properties", then go to "Connections" and click on "Network Setting". And there you can set either the script or the parameters for the proxy.
In PHP, you can generate JSON data using the json_encode function, and in Swift (iOS/macOS), you can parse it using JSONSerialization or Codable depending on your needs.
Here's an example of generating JSON in PHP and parsing it using NSJSONSerialization in Swift
PHP (Generate JSON):
'John Doe',
'age' => 25,
'city' => 'New York',
'is_student' => true
);
// Encode data to JSON
$jsonData = json_encode($data);
// Output JSON
echo $jsonData;
?>
In this PHP script, the json_encode function is used to convert the PHP associative array into a JSON string.
Swift (Parse JSON using NSJSONSerialization):
import Foundation
// Sample JSON data as a string
let jsonString = """
{
"name": "John Doe",
"age": 25,
"city": "New York",
"is_student": true
}
"""
// Convert JSON string to Data
if let jsonData = jsonString.data(using: .utf8) {
do {
// Parse JSON data using NSJSONSerialization
if let jsonObject = try JSONSerialization.jsonObject(with: jsonData, options: []) as? [String: Any] {
// Access parsed JSON data
let name = jsonObject["name"] as? String ?? ""
let age = jsonObject["age"] as? Int ?? 0
let city = jsonObject["city"] as? String ?? ""
let isStudent = jsonObject["is_student"] as? Bool ?? false
// Print parsed data
print("Name: \(name)")
print("Age: \(age)")
print("City: \(city)")
print("Is Student: \(isStudent)")
}
} catch {
print("Error parsing JSON: \(error.localizedDescription)")
}
}
In this Swift code, the JSONSerialization class is used to parse the JSON string (converted to Data) into a Swift dictionary ([String: Any]). You can then access individual values from the parsed JSON data.
Note: Ensure that the JSON structure in your PHP script and Swift code aligns, and handle errors appropriately during parsing. Additionally, consider using Codable in Swift for a more convenient way to work with JSON data if your data structure matches your Swift model.
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.
In the "System Settings" section, open the "Network" tab, and then, when you highlight the active connection, click "Advanced". Here, in the "Proxies" tab, tick only the HTTP proxy if you do not intend to use other types of proxies temporarily. Enter the address of your proxy server and its port in the designated fields and click "OK".
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