IP | Country | PORT | ADDED |
---|---|---|---|
32.223.6.94 | us | 80 | 5 minutes ago |
8.220.194.115 | kr | 1080 | 5 minutes ago |
213.33.126.130 | at | 80 | 5 minutes ago |
183.215.23.242 | cn | 9091 | 5 minutes ago |
212.69.125.33 | ru | 80 | 5 minutes ago |
37.18.73.60 | ru | 5566 | 5 minutes ago |
79.110.202.184 | pl | 8081 | 5 minutes ago |
190.58.248.86 | tt | 80 | 5 minutes ago |
213.143.113.82 | at | 80 | 5 minutes ago |
194.158.203.14 | by | 80 | 5 minutes ago |
50.221.230.186 | us | 80 | 5 minutes ago |
66.191.31.158 | us | 80 | 5 minutes ago |
23.81.45.202 | jp | 5256 | 5 minutes ago |
95.66.138.21 | ru | 8880 | 5 minutes ago |
178.46.153.228 | ru | 1080 | 5 minutes ago |
112.86.55.159 | cn | 81 | 5 minutes ago |
185.49.31.207 | pl | 8081 | 5 minutes ago |
185.10.129.14 | ru | 3128 | 5 minutes ago |
61.158.175.38 | cn | 9002 | 5 minutes ago |
64.227.131.240 | in | 1080 | 5 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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Both on a PC and on modern cell phones, a built-in utility that is responsible for working with network connections, provides the ability to set up a connection through a proxy server. You just need to enter the IP-address for connection and the port number. In the future all traffic will be redirected through this proxy. Accordingly, the provider will not block it.
"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".
To get the content of an HTML element (such as text inside a tag) using Selenium, you can use the text property of the WebElement. Here's an example in Python:
from selenium import webdriver
# Create a WebDriver instance (e.g., Chrome)
driver = webdriver.Chrome()
# Navigate to a webpage
driver.get("https://example.com")
# Find an element by its CSS selector (replace with your actual selector)
element = driver.find_element_by_css_selector("h1")
# Get the text content of the element
element_text = element.text
print("Element Text:", element_text)
# Close the browser when done
driver.quit()
In this example:
WebDriver
instance is created (using Chrome in this case).find_element_by_css_selector
. You can use other locators such as ID, class name, XPath, etc., based on your needs.text
property of the WebElement
is used to retrieve the text content of the element.Adjust the CSS selector in the find_element_by_css_selector
method to match the HTML element you want to extract content from.
Remember that the text
property returns the visible text of the element, excluding any hidden text or text inside child elements. If you need to capture all text content, including hidden elements, you may need to use other methods to extract HTML content and then parse it accordingly.
To scrape all HTML content from a website using Scrapy, you need to create a spider that visits each page of the website and extracts the HTML content. Here's a simple example:
Create a Scrapy Project:
If you haven't already, create a Scrapy project by running the following commands in your terminal or command prompt:
scrapy startproject myproject
cd myproject
Define a Spider:
Open the spiders directory in your project and create a spider (e.g., html_spider.py). Edit the spider file with the following content:
import scrapy
class HtmlSpider(scrapy.Spider):
name = 'html_spider'
start_urls = ['http://example.com'] # Start with the main page of the website
def parse(self, response):
# Extract HTML content and yield it
html_content = response.text
yield {
'url': response.url,
'html_content': html_content
}
# Follow links to other pages (if needed)
for next_page_url in response.css('a::attr(href)').extract():
yield scrapy.Request(url=next_page_url, callback=self.parse)
This spider, named html_spider, starts with the main page (start_urls) and extracts the HTML content. It then follows links (a::attr(href)) to other pages and extracts their HTML content as well.
Run the Spider:
Run your spider using the following command:
scrapy crawl html_spider -o output.json
This command will execute the html_spider and save the output in a JSON file named output.json. Each item in the JSON file will contain the URL and HTML content of a page.
A proxy pool is a database that includes addresses for multiple proxy servers. For example, each VPN service has one. And it "distributes" them in order to the connected users.
What else…