IP | Country | PORT | ADDED |
---|---|---|---|
62.162.193.125 | mk | 8081 | 19 minutes ago |
188.112.179.204 | lv | 80 | 19 minutes ago |
202.61.199.166 | de | 80 | 19 minutes ago |
23.247.136.254 | sg | 80 | 19 minutes ago |
91.205.196.215 | am | 8080 | 19 minutes ago |
203.99.240.182 | jp | 80 | 19 minutes ago |
138.68.60.8 | us | 80 | 19 minutes ago |
103.118.46.64 | kh | 8080 | 19 minutes ago |
51.210.111.216 | fr | 22302 | 19 minutes ago |
154.16.146.41 | us | 80 | 19 minutes ago |
50.172.150.134 | us | 80 | 19 minutes ago |
125.187.149.240 | kr | 80 | 19 minutes ago |
185.10.129.14 | ru | 3128 | 19 minutes ago |
139.59.1.14 | in | 80 | 19 minutes ago |
212.127.95.235 | pl | 8081 | 19 minutes ago |
89.58.45.248 | de | 80 | 19 minutes ago |
50.221.230.186 | us | 80 | 19 minutes ago |
185.59.100.55 | de | 1080 | 19 minutes ago |
221.231.13.198 | cn | 1080 | 19 minutes ago |
194.219.134.234 | gr | 80 | 19 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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To set up a proxy on your computer, you need to go through a simple procedure. If we're talking about Windows 10, you'll first need to open the "Settings" application and the "Network and Internet" section. Here, after opening the "Proxy Server" tab, find the column "Manual proxy server setup" just to the right and move the switch to the "On" position. Enter the IP address and the proxy port in the specified fields and click "Save".
Several virtual proxy servers can be created within one device. These are special dedicated servers that only "service" such traffic. Many devices can connect to them at the same time.
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.
A transparent proxy is a type of proxy server that intercepts and processes client requests without the client's knowledge, as it operates at the network level. It is commonly used in enterprise environments for content filtering, monitoring, and control. Key characteristics include no user configuration or interaction, support for HTTP and HTTPS connections, content filtering, monitoring and reporting, and performance optimization.
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.
What else…