IP | Country | PORT | ADDED |
---|---|---|---|
119.3.113.152 | cn | 9094 | 16 minutes ago |
202.40.186.66 | bd | 9090 | 16 minutes ago |
103.189.218.85 | bd | 6969 | 16 minutes ago |
128.140.113.110 | de | 999 | 16 minutes ago |
221.231.13.198 | cn | 1080 | 16 minutes ago |
212.69.125.33 | ru | 80 | 16 minutes ago |
31.148.207.153 | ua | 80 | 16 minutes ago |
185.10.129.14 | ru | 3128 | 16 minutes ago |
79.110.202.184 | pl | 8081 | 16 minutes ago |
213.157.6.50 | de | 80 | 16 minutes ago |
119.3.113.150 | cn | 9094 | 16 minutes ago |
41.230.216.70 | tn | 80 | 16 minutes ago |
212.127.95.235 | pl | 8081 | 16 minutes ago |
203.99.240.182 | jp | 80 | 16 minutes ago |
119.3.113.151 | cn | 9094 | 16 minutes ago |
203.19.38.114 | cn | 1080 | 16 minutes ago |
80.120.49.242 | at | 80 | 16 minutes ago |
91.241.217.58 | ua | 9090 | 16 minutes ago |
213.33.126.130 | at | 80 | 16 minutes ago |
128.199.202.122 | sg | 3128 | 16 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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In the settings bar (home screen), select "Network Settings" and then click on Ethernet. Here you should select the "Advanced Settings" option, which contains the "Proxy Server Settings" item. To further configure the proxy, select "Configure Manually", type in the proxy hostname and specify the port. Do not forget to list the domains that the proxy server should not use. You should leave this field empty if it does not exist. If the configuration process is successful, you will see the "Settings saved" notification.
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.
It means that now all the traffic is sent to a VPN server (which can be an ordinary proxy). This is a kind of warning that the remote server can now collect data. Therefore, you should use only well-tested VPN services.
It is a proxy that everyone can connect to. That is, it handles absolutely all requests without interacting with the traffic in any way, without monitoring its packets.
The provider, when the user uses a VPN, "sees" only the encrypted traffic, as well as the address of the remote server to which the request is sent. But it is impossible to determine which site the user is visiting and what data is being sent.
What else…