IP | Country | PORT | ADDED |
---|---|---|---|
185.93.89.187 | ir | 9332 | 49 minutes ago |
67.201.33.10 | us | 25283 | 49 minutes ago |
211.128.96.206 | 80 | 49 minutes ago | |
23.247.136.254 | sg | 80 | 49 minutes ago |
190.58.248.86 | tt | 80 | 49 minutes ago |
89.58.45.248 | de | 80 | 49 minutes ago |
203.99.240.182 | jp | 80 | 49 minutes ago |
213.143.113.82 | at | 80 | 49 minutes ago |
80.120.130.231 | at | 80 | 49 minutes ago |
68.185.57.66 | us | 80 | 49 minutes ago |
50.55.52.50 | us | 80 | 49 minutes ago |
203.99.240.179 | jp | 80 | 49 minutes ago |
202.61.199.166 | de | 80 | 49 minutes ago |
89.58.55.106 | de | 80 | 49 minutes ago |
50.122.86.118 | us | 80 | 49 minutes ago |
66.191.31.158 | us | 80 | 49 minutes ago |
79.110.201.235 | pl | 8081 | 49 minutes ago |
95.47.239.221 | uz | 3128 | 49 minutes ago |
32.223.6.94 | us | 80 | 49 minutes ago |
123.30.154.171 | vn | 7777 | 49 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 find out the port of the proxy server, you just need to use any browser (Yandex Browser, Opera, Google Chrome). Then you need to follow the algorithm:
Start the browser. Go to "Settings". In the search box enter the query "proxy". Click on "Proxy settings". In the window that opens, select "Network settings". This will open a tab with the IP address and port of the proxy server.
The term "public" should be understood to mean open proxy servers. That is, they can be used by all users without exception. They can be insecure and are often quite overloaded, so the connection speed or response time when using public proxies can be very slow.
In C#, you can parse text using various methods depending on the specific requirements, such as splitting, regular expressions, or more complex parsing with custom logic. Here are some examples:
1. Splitting Text:
using System;
class Program
{
static void Main()
{
string inputText = "This is an example text.";
// Split by space
string[] words = inputText.Split(' ');
// Print each word
foreach (string word in words)
{
Console.WriteLine(word);
}
}
}
2. Regular Expressions:
using System;
using System.Text.RegularExpressions;
class Program
{
static void Main()
{
string inputText = "This is an example text.";
// Use a regular expression to match words
Regex regex = new Regex(@"\b\w+\b");
MatchCollection matches = regex.Matches(inputText);
// Print each match
foreach (Match match in matches)
{
Console.WriteLine(match.Value);
}
}
}
3. Custom Parsing Logic:
using System;
using System.Linq;
class Program
{
static void Main()
{
string inputText = "This is an example text.";
// Custom parsing logic (e.g., split by space and remove punctuation)
string[] words = inputText.Split(' ')
.Select(word => word.Trim(new char[] { '.', ',', '!', '?' }))
.ToArray();
// Print each cleaned word
foreach (string word in words)
{
Console.WriteLine(word);
}
}
}
Choose the method that best fits your specific use case. Custom parsing logic might be necessary for more complex scenarios. Make sure to handle edge cases and account for potential variations in the input text.
To connect to a proxy server with a password, provide the proxy address, port, and authentication credentials (username and password) in your browser or application settings. For popular browsers like Google Chrome and Mozilla Firefox, follow these general steps:
Open the browser and go to its settings.
Locate the proxy settings section.
Enter the proxy server address, port, username, and password.
Save the settings.
Data parsing in most cases refers to the collection of technical or other information. For example, a local proxy server can be used for parsing "log data". That is, information about the work of the site, the application, which in the future will be useful for developers to find and fix various bugs.
What else…