iPad SOCKS5 Proxy

Each option has its own advantages and disadvantages. HTTP is faster because it supports caching. And SOCKS provides better anonymity because it hides the headers of requested pages.

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 run GUI autotests in GitLab CI\CD using Docker, Selenium, and PyTest, you can follow these steps:

1. Create a .gitlab-ci.yml file in the root directory of your project. This file will define the pipeline and the jobs for your CI\CD process.

2. Configure the pipeline to use the appropriate image for your tests. In this case, you can use a Python image with the required dependencies installed.

3. Define the before_script section to set up the environment for the tests, including installing the necessary packages and downloading the required drivers for Selenium.

4. Define the test job to run the PyTest tests using the Selenium WebDriver.

Here's an example of a .gitlab-ci.yml file:

stages:
  - test

variables:
  SELENIUM_CHROME_DRIVER: '102.0.5005.62'
  SELENIUM_FIREFOX_DRIVER: '0.26.0'

image: python:3.8

cache:
  paths:
    - .venv
    - requirements.txt

before_script:
  - apt-get update -qq
  - apt-get install -y --no-install-recommends \
      build-essential \
      wget \
      xvfb \
      xvfb-run
  - pip install --upgrade pip
  - pip install --quiet --upgrade pytest
  - pip install --quiet selenium
  - pip install --quiet webdriver-manager
  - wget https://github.com/SeleniumHQ/selenium/releases/download/v${SELENIUM_CHROME_DRIVER}/chromedriver_linux64.zip
  - unzip chromedriver_linux64.zip chromedriver
  - wget https://github.com/SeleniumHQ/selenium/releases/download/v${SELENIUM_FIREFOX_DRIVER}/geckodriver-v${SELENIUM_FIREFOX_DRIVER}
  - mv geckodriver-v${SELENIUM_FIREFOX_DRIVER} geckodriver

test:
  stage: test
  script:
    - pytest tests/
  tags:
    - selenium
  artifacts:
    reports:
      - html
  only:
    - master
    - merge_requests

This .gitlab-ci.yml file defines a single stage called test that runs the PyTest tests in the tests/ directory. The before_script section installs the necessary dependencies, downloads the Selenium WebDriver for Chrome and Firefox, and sets up the environment for running the tests.

The tags: - selenium line ensures that the job runs on a runner with the selenium tag, which should have the appropriate Selenium WebDriver installed. The artifacts: reports: - html line enables the generation of HTML reports for the test results.

The only: - master - merge_requests line specifies that the tests should be run on every commit to the master branch and on every merge request.

Once you've set up the .gitlab-ci.yml file, commit and push it to your repository. Then, create a new merge request or push to the master branch to trigger the CI\CD pipeline and run the GUI autotests using Docker, Selenium, and PyTest.

You need to go to "Settings", under "Sharing" select "VPN". And there you can either enter the connection parameters manually (address, port number, username and password), or choose a program that automatically connects the user to the proxy (free applications of this type can be found in Google Play).

A proxy server passes all traffic through itself, acting as an intermediary between the user and the remote server. It is most often used to conceal the real IP, to conditionally change the user's location, or to analyze traffic (for example, when testing web applications).