IP | Country | PORT | ADDED |
---|---|---|---|
50.169.222.243 | us | 80 | 5 minutes ago |
115.22.22.109 | kr | 80 | 5 minutes ago |
50.174.7.152 | us | 80 | 5 minutes ago |
50.171.122.27 | us | 80 | 5 minutes ago |
50.174.7.162 | us | 80 | 5 minutes ago |
47.243.114.192 | hk | 8180 | 5 minutes ago |
72.10.160.91 | ca | 29605 | 5 minutes ago |
218.252.231.17 | hk | 80 | 5 minutes ago |
62.99.138.162 | at | 80 | 5 minutes ago |
50.217.226.41 | us | 80 | 5 minutes ago |
50.174.7.159 | us | 80 | 5 minutes ago |
190.108.84.168 | pe | 4145 | 5 minutes ago |
50.169.37.50 | us | 80 | 5 minutes ago |
50.223.246.238 | us | 80 | 5 minutes ago |
50.223.246.239 | us | 80 | 5 minutes ago |
50.168.72.116 | us | 80 | 5 minutes ago |
72.10.160.174 | ca | 3989 | 5 minutes ago |
72.10.160.173 | ca | 32677 | 5 minutes ago |
159.203.61.169 | ca | 8080 | 5 minutes ago |
209.97.150.167 | us | 3128 | 5 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
Quick and easy integration.
Full control and management of proxies via API.
Extensive documentation for a quick start.
Compatible with any programming language that supports HTTP requests.
Ready to improve your product? Explore our API and start integrating today!
And 500+ more programming tools and languages
To reduce constant repetition of find_element() in Selenium, you can use the following techniques:
Store elements in variables:
When you locate an element once, store it in a variable and reuse it throughout the script. This reduces the need to call find_element() multiple times.
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://www.example.com")
# Store the element in a variable
element = driver.find_element(By.ID, "element-id")
# Reuse the element
element.click()
Use loops and lists:
If you need to interact with multiple elements, store them in a list and use a loop to iterate through the elements.
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://www.example.com")
# Find all elements and store them in a list
elements = driver.find_elements(By.CLASS_NAME, "element-class")
# Iterate through the list and interact with each element
for element in elements:
element.click()
Use explicit waits:
Use explicit waits to wait for an element to become available or visible before interacting with it. This reduces the need to call find_element() multiple times, as the script will wait for the element to be ready.
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
driver = webdriver.Chrome()
driver.get("https://www.example.com")
# Wait for the element to become visible
wait = WebDriverWait(driver, 10)
visible_element = wait.until(EC.visibility_of_element_located((By.ID, "element-id")))
# Interact with the element
visible_element.click()
Use the all_elements_available attribute:
The all_elements_available attribute is available in some browser drivers, such as ChromeDriver. It returns a list of all elements that match the given selector. You can use this attribute to interact with multiple elements without using loops.
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://www.example.com")
# Get a list of all elements that match the selector
elements = driver.find_elements(By.CLASS_NAME, "element-class")
# Interact with each element
for element in elements:
element.click()
Remember to replace "https://www.example.com", "element-id", "element-class", and other elements with the actual values for the website you are working with. Also, ensure that the browser driver (e.g., ChromeDriver for Google Chrome) is installed and properly configured in your environment.
In Scrapy, you can navigate to the next page of a website by following the links or buttons that lead to subsequent pages. This typically involves extracting the link or button URL from the current page and generating a new request to scrape the content of the next page.
Here's a basic example of how you can navigate to the next page in a Scrapy spider:
import scrapy
class MySpider(scrapy.Spider):
name = 'my_spider'
start_urls = ['http://example.com/page1']
def parse(self, response):
# Extract data from the current page
# ...
# Follow the link to the next page (assuming pagination link is in an anchor tag)
next_page_url = response.css('a.next-page-link::attr(href)').extract_first()
if next_page_url:
yield scrapy.Request(url=next_page_url, callback=self.parse)
- The spider starts with the initial URL (start_urls).
- The parse method extracts data from the current page.
- It then extracts the URL of the next page using a CSS selector (response.css('a.next-page-link::attr(href)').extract_first()). Adjust this selector based on the structure of the website you are scraping.
- If a next page URL is found, a new scrapy.Request is yielded with the URL and the same callback function (self.parse). This creates a new request to scrape the content of the next page.
"Work via VPN" means to connect to a site, an application or a remote server via a VPN server. That is, through an "intermediary" that not only hides the real IP address, but also additionally encrypts the traffic so that it cannot be "read".
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".
Chromium does not support proxies in-house. There is a corresponding item in the menu, but clicking on it will open the regular proxy server settings in Windows or MacOS.
What else…