IP | Country | PORT | ADDED |
---|---|---|---|
50.231.110.26 | us | 80 | 2 minutes ago |
50.175.123.233 | us | 80 | 2 minutes ago |
50.169.222.242 | us | 80 | 2 minutes ago |
50.175.212.79 | us | 80 | 2 minutes ago |
50.175.123.238 | us | 80 | 2 minutes ago |
50.145.138.156 | us | 80 | 2 minutes ago |
195.23.57.78 | pt | 80 | 2 minutes ago |
213.143.113.82 | at | 80 | 2 minutes ago |
50.168.72.118 | us | 80 | 2 minutes ago |
50.218.208.13 | us | 80 | 2 minutes ago |
50.172.150.134 | us | 80 | 2 minutes ago |
50.172.88.212 | us | 80 | 2 minutes ago |
122.116.29.68 | tw | 4145 | 2 minutes ago |
85.214.107.177 | de | 80 | 2 minutes ago |
128.140.113.110 | de | 4145 | 2 minutes ago |
125.228.94.199 | tw | 4145 | 2 minutes ago |
189.202.188.149 | mx | 80 | 2 minutes ago |
213.33.126.130 | at | 80 | 2 minutes ago |
125.228.143.207 | tw | 4145 | 2 minutes ago |
41.207.187.178 | tg | 80 | 2 minutes ago |
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In Node.js, you can parse JSON using the built-in JSON object or the JSON.parse() method. Here's a simple example:
// JSON string
const jsonString = '{"name": "John", "age": 30, "city": "New York"}';
// Parse JSON using JSON.parse()
try {
const jsonData = JSON.parse(jsonString);
console.log('Parsed JSON:', jsonData);
// Access individual properties
console.log('Name:', jsonData.name);
console.log('Age:', jsonData.age);
console.log('City:', jsonData.city);
} catch (error) {
console.error('Error parsing JSON:', error.message);
}
In this example:
jsonString
contains a JSON-formatted string.JSON.parse()
is used to parse the JSON string into a JavaScript object.If the JSON string is not valid, JSON.parse()
will throw an error. To handle potential errors, it's a good practice to use a try...catch
block.
If you have a JSON file and want to read and parse it in Node.js, you can use the fs
(file system) module along with JSON.parse()
. Here's an example:
const fs = require('fs');
// Read JSON file
fs.readFile('path/to/your/file.json', 'utf8', (err, data) => {
if (err) {
console.error('Error reading file:', err.message);
return;
}
// Parse JSON data
try {
const jsonData = JSON.parse(data);
console.log('Parsed JSON from file:', jsonData);
} catch (error) {
console.error('Error parsing JSON:', error.message);
}
});
Replace 'path/to/your/file.json' with the actual path to your JSON file.
Remember to handle errors appropriately, especially when dealing with file I/O operations or parsing potentially malformed JSON data.
If Selenium in Python is not able to find the ChromeDriver executable on Linux, there are several common reasons and solutions. Here's a step-by-step guide to troubleshoot and resolve the issue
1. Check ChromeDriver Installation
Ensure that ChromeDriver is installed on your Linux machine. You can download the latest version from the ChromeDriver Downloads page.
2. Specify ChromeDriver Path in Your Script
Explicitly specify the path to ChromeDriver in your Python script using the executable_path argument when initializing the webdriver.Chrome() instance.
from selenium import webdriver
chrome_path = "/path/to/chromedriver" # Replace with the actual path
driver = webdriver.Chrome(executable_path=chrome_path)
# Your Selenium script...
driver.quit()
3. Add ChromeDriver to System PATH
Add the directory containing ChromeDriver to your system's PATH environment variable. This allows Selenium to automatically locate the ChromeDriver executable.
export PATH=$PATH:/path/to/directory/containing/chromedriver
Alternatively, you can add this line to your shell configuration file (e.g., ~/.bashrc or ~/.bash_profile) to make the change permanent.
4. Check File Permissions
Ensure that the ChromeDriver executable has the necessary execute permissions. You can use the chmod command to add execute permissions if needed.
chmod +x /path/to/chromedriver
5. Use a Virtual Environment
If you are using a virtual environment, ensure that ChromeDriver is installed within the virtual environment. Activate the virtual environment before running your script.
6. Update Selenium and ChromeDriver
Make sure you are using the latest versions of both Selenium and ChromeDriver. Outdated versions may not be compatible with each other.
pip install --upgrade selenium
Download the latest ChromeDriver version from the ChromeDriver Downloads page.
7. Check Chrome Browser Version
Ensure that the version of ChromeDriver you are using is compatible with the version of the Chrome browser installed on your machine. ChromeDriver versions and Chrome browser versions should be in sync.
8. Run in Headless Mode
If you are running your script in headless mode, ensure that your machine has the necessary dependencies for headless browsing.
from selenium import webdriver
chrome_path = "/path/to/chromedriver" # Replace with the actual path
options = webdriver.ChromeOptions()
options.add_argument('--headless')
driver = webdriver.Chrome(executable_path=chrome_path, options=options)
# Your Selenium script...
driver.quit()
9. Check for Typos
Double-check for any typos or syntax errors in the path to ChromeDriver. Ensure that the path is correct and matches the actual location of the executable.
By addressing these points, you should be able to resolve the issue of Selenium not finding ChromeDriver on Linux. If the problem persists, providing additional details about error messages or behavior would be helpful for further assistance.
If you are having trouble adding a SonarQube server authentication token to Jenkins, follow these steps to troubleshoot and resolve the issue:
1. Verify SonarQube server URL and credentials: Ensure that you have the correct SonarQube server URL and credentials (username and password) for the authentication token. Double-check for any typos or errors in the information.
2. Generate a new authentication token: If you have already used the current authentication token or it has expired, generate a new one from the SonarQube server. To do this, log in to the SonarQube server, navigate to "Administration" > "Security" > "General Settings," and click the "Generate" button next to the "Authentication token" field. Copy the new token.
3. Update Jenkins with the new authentication token: In the Jenkins "Manage Jenkins" section, click on "Configure System." Scroll down to the "SonarQube Servers" section and select the SonarQube server you want to configure. Enter the updated SonarQube server URL, username, and the new authentication token in the respective fields. Save the changes.
4. Verify Jenkins plugin version: Ensure that you are using the latest version of the SonarQube Scanner plugin for Jenkins. Outdated plugins might not be compatible with the latest SonarQube server version. To update the plugin, go to "Manage Jenkins" > "Manage Plugins," find the SonarQube Scanner plugin, and click "Update."
5. Check Jenkins job configuration: Verify that your Jenkins job is configured to use the SonarQube server you just updated. In the job configuration, under the "Build" section, ensure that the "Analyze source code with SonarQube" checkbox is selected and the correct SonarQube server is selected from the dropdown menu.
6. Test the connection: Run a test Jenkins job to see if the connection to the SonarQube server is successful. If the job fails, check the console output for any error messages related to the SonarQube server or authentication token.
If you continue to face issues, consult the Jenkins and SonarQube documentation, or reach out to their support communities for further assistance.
The easiest way is to try to open any site or application that requires an Internet connection. If the data download goes well, then the VPN is working properly. If there is a "No connection" error, then the VPN is not working properly for some reason.
Install the Nginx web server and disable the virtual tail. Next, in the /etc/nginx/sites-available directory, create a reverse-proxy.conf file. The file should be saved after completing the installation and quit the editor by typing "wq. You can send information to other servers by using the ngx_http_proxy_module in the terminal. Now activate the directives and test Nginx and the reverse proxy.
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