IP | Country | PORT | ADDED |
---|---|---|---|
88.87.72.134 | ru | 4145 | 45 minutes ago |
178.220.148.82 | rs | 10801 | 45 minutes ago |
181.129.62.2 | co | 47377 | 45 minutes ago |
72.10.160.170 | ca | 16623 | 45 minutes ago |
72.10.160.171 | ca | 12279 | 45 minutes ago |
176.241.82.149 | iq | 5678 | 45 minutes ago |
79.101.45.94 | rs | 56921 | 45 minutes ago |
72.10.160.92 | ca | 25175 | 45 minutes ago |
50.207.130.238 | us | 54321 | 45 minutes ago |
185.54.0.18 | es | 4153 | 45 minutes ago |
67.43.236.20 | ca | 18039 | 45 minutes ago |
72.10.164.178 | ca | 11435 | 45 minutes ago |
67.43.228.250 | ca | 23261 | 45 minutes ago |
192.252.211.193 | us | 4145 | 45 minutes ago |
211.75.95.66 | tw | 80 | 45 minutes ago |
72.10.160.90 | ca | 26535 | 45 minutes ago |
67.43.227.227 | ca | 13797 | 45 minutes ago |
72.10.160.91 | ca | 1061 | 45 minutes ago |
99.56.147.242 | us | 53096 | 45 minutes ago |
212.31.100.138 | cy | 4153 | 45 minutes ago |
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Create the first profile by specifying its name and selecting the desired configuration. The configuration is a non-repeating combination of different versions of the operating system and browser. After setting the language, open the "Network" tab and select the type of proxy (socks5 or https). Now it remains only to fill in the data in the highlighted fields to complete the installation of the proxy.
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).
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.
Clicking an AJAX button in Selenium can be a bit tricky, as AJAX buttons often rely on JavaScript to perform the click action instead of using the traditional HTML click event. To click an AJAX button in Selenium, you can follow these steps:
1. Locate the AJAX button element using its unique identifier (e.g., ID, name, CSS selector, or XPath).
2. Use JavaScript to simulate the click action on the button element.
Here's an example using Python with the Selenium WebDriver:
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
from selenium.webdriver.common.action_chains import ActionChains
# Set up the Chrome WebDriver
driver = webdriver.Chrome()
# Navigate to the page containing the AJAX button
driver.get("https://example.com")
# Locate the AJAX button element
button = driver.find_element(By.ID, "ajaxButton")
# Click the AJAX button using JavaScript
driver.execute_script("arguments[0].click();", button)
Alternatively, you can use the ActionChains class to perform a right-click and then a left-click sequence, which can sometimes simulate a button click:
from selenium.webdriver.common.action_chains import ActionChains
# Locate the AJAX button element
button = driver.find_element(By.ID, "ajaxButton")
# Perform a right-click and then a left-click sequence
action = ActionChains(driver)
action.context_click(button).perform()
action.click(button).perform()
Remember to replace "https://example.com" and "ajaxButton" with the actual URL and element identifier of the page and button you're working with.
Keep in mind that these methods may not work for all AJAX buttons, as some buttons may use more complex JavaScript events or require additional steps to be executed before the click action can be performed. In such cases, you may need to inspect the button's JavaScript code and replicate the necessary steps in your Selenium script.
To send a user class object over UDP, you will need to serialize the object into a format that can be transmitted over the network. Here's a step-by-step guide on how to do it in Python:
1. Import necessary libraries:
import pickle
import socket
2. Define your user class:
class User:
def __init__(self, name, age):
self.name = name
self.age = age
3. Serialize the user object using pickle:
def serialize_user(user):
return pickle.dumps(user)
4. Create a UDP socket:
def create_udp_socket(host, port):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind((host, port))
return sock
5. Send the serialized user object over UDP:
def send_user(sock, user, host, port):
serialized_user = serialize_user(user)
sock.sendto(serialized_user, (host, port))
6. Putting it all together:
if __name__ == "__main__":
user = User("John Doe", 30)
host, port = "127.0.0.1", 12345
sock = create_udp_socket(host, port)
send_user(sock, user, host, port)
On the receiving side, you will need to deserialize the received data using pickle and create a new user object from it.
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