IP | Country | PORT | ADDED |
---|---|---|---|
192.252.216.81 | us | 4145 | 22 minutes ago |
208.65.90.21 | us | 4145 | 22 minutes ago |
189.202.188.149 | mx | 80 | 22 minutes ago |
194.219.134.234 | gr | 80 | 22 minutes ago |
46.32.15.59 | ir | 3128 | 22 minutes ago |
80.120.49.242 | at | 80 | 22 minutes ago |
111.177.48.18 | cn | 9501 | 22 minutes ago |
208.65.90.3 | us | 4145 | 22 minutes ago |
128.140.113.110 | de | 4145 | 22 minutes ago |
198.8.94.170 | us | 4145 | 22 minutes ago |
113.108.13.120 | cn | 8083 | 22 minutes ago |
199.58.185.9 | us | 4145 | 22 minutes ago |
192.252.220.89 | us | 4145 | 22 minutes ago |
198.12.249.249 | us | 26829 | 22 minutes ago |
79.110.200.148 | pl | 8081 | 22 minutes ago |
220.167.89.46 | cn | 1080 | 22 minutes ago |
87.248.129.26 | ae | 80 | 22 minutes ago |
211.128.96.206 | 80 | 22 minutes ago | |
50.63.12.101 | us | 27071 | 22 minutes ago |
199.187.210.54 | us | 4145 | 22 minutes ago |
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Click on the three bars located in the upper right corner and click on "Settings". When the settings page appears in front of you, go down to the "System" section and click on "Proxy settings". In the window that appears, click on "Network settings" and then check the box next to "Use a proxy server for local connections". Now all you have to do is enter the IP address and port of the proxy server, and then save your changes.
To scrape the content of an unordered list (ul) from a web page using Node.js, you can use a combination of libraries such as axios for making HTTP requests and cheerio for HTML parsing. Here's a basic example to get you started:
Install Required Packages:
npm install axios cheerio
Create a Scraper Script:
const axios = require('axios');
const cheerio = require('cheerio');
// URL of the web page you want to scrape
const url = 'https://example.com';
// Function to scrape the content of the ul element
async function scrapeULContent(url) {
try {
const response = await axios.get(url);
const $ = cheerio.load(response.data);
// Replace 'ul-selector' with the actual CSS selector of your ul element
const ulContent = $('ul-selector').html();
console.log('Scraped UL Content:');
console.log(ulContent);
} catch (error) {
console.error(`Error scraping UL content: ${error.message}`);
}
}
// Call the function with the URL
scrapeULContent(url);
Replace 'ul-selector' with the actual CSS selector that matches your ul element.
Run the Script:
node your_scraper_script.js
This example uses axios to make an HTTP request to the specified URL and cheerio to load and parse the HTML content. The $('ul-selector').html() line extracts the HTML content of the ul element based on the provided CSS selector.
Make sure to inspect the web page's HTML structure to find the appropriate CSS selector for your ul element. You can use browser developer tools to inspect the page source and identify the CSS selector that targets the specific ul you want to scrape.
The ModuleNotFoundError: No module named 'selenium' error indicates that Python cannot find the Selenium module in your current environment. To fix this issue, you can follow these steps
1. Install Selenium
Open your terminal or command prompt.
Run the following command to install Selenium using pip:
pip install selenium
Make sure you are running this command in the same environment where your Python script is intended to run.
2. Check Python Version
Ensure that you are using the correct Python version and that you are installing Selenium for that specific version. You can check your Python version by running:
python --version
Ensure that the pip command corresponds to the version of Python you are using.
3. Check Virtual Environment (if applicable)
If you are using a virtual environment, make sure it is activated. Install Selenium after activating the virtual environment.
# Activate the virtual environment
source venv/bin/activate # Linux/Mac
.\venv\Scripts\activate # Windows
# Install Selenium
pip install selenium
4. Check Project Interpreter in IDE
If you are using an Integrated Development Environment (IDE) such as PyCharm, make sure that the project interpreter is correctly set to the Python environment where Selenium is installed. You can check and set the interpreter in the IDE settings.
5. Recreate Virtual Environment (if applicable)
If you are still facing issues, you may consider recreating the virtual environment. Deactivate the current virtual environment, delete the existing one, and create a new virtual environment. Activate the new virtual environment and install Selenium.
6. Check System PATH
Ensure that the directory containing the Python executable and scripts is included in your system's PATH environment variable. This allows the Python interpreter to be found when executing commands.
7. Check for Typos
Double-check your code for any typos or mistakes in the import statement. Ensure that you are using the correct casing and spelling for the module name.
After following these steps, try running your Python script again. The ModuleNotFoundError should be resolved if Selenium is successfully installed in your Python environment. If the issue persists, there might be an issue with your Python environment or project configuration that requires further investigation.
Spring and Selenium are separate technologies with distinct purposes. Spring is a Java-based framework for building enterprise applications, while Selenium is a tool for automating web browsers for testing web applications.
Spring itself does not block System.in, and it is unlikely that Selenium would block System.in either, as Selenium primarily interacts with web browsers.
However, if your application uses Spring and Selenium together, it's possible that the combination of the two could block System.in under specific circumstances, such as when the application is running in an embedded server mode or if the test suite is running in a headless environment without a proper console.
To avoid blocking System.in, ensure that your application or test suite is configured to run in an environment that supports console input and output. If you're using an embedded server or a headless environment, you may need to use alternative logging mechanisms or debugging tools to interact with your application.
To determine the country of a proxy server, you can follow these steps:
1. Check the proxy server's IP address: The IP address of a proxy server can provide information about its geographical location. You can use various online tools and services to determine the country associated with an IP address. One such tool is the "IP Geolocation" service, which can be found by searching for "IP Geolocation" on Google or other search engines.
2. Use a proxy list website: There are websites that maintain lists of proxy servers with their associated countries. These websites often categorize proxies by country, making it easy to find a proxy server from a specific country. Some popular proxy list websites include proxy-list.org, proxy-list.net, and proxysite.com.
3. Use a browser extension or plugin: There are browser extensions and plugins available for popular web browsers like Chrome, Firefox, and Safari that can display the country of a proxy server. These extensions typically provide additional information about the proxy, such as its IP address, port, and protocol. Some popular extensions include Proxy SwitchyOmega for Chrome and FoxyProxy for Firefox.
4. Use a command-line tool: If you are comfortable using command-line tools, you can use an IP geolocation tool like "maxmind-db-reader" or "ipinfo" to determine the country of a proxy server based on its IP address. These tools require you to have the appropriate IP geolocation database files or API access.
5. Check the proxy server documentation: Some proxy servers, especially commercial or premium services, may provide information about their location in their documentation or on their website. Checking the provider's documentation or support resources can help you determine the country of the proxy server.
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