IP | Country | PORT | ADDED |
---|---|---|---|
122.116.29.68 | tw | 4145 | 11 minutes ago |
72.10.160.91 | ca | 14525 | 11 minutes ago |
207.148.77.68 | sg | 1080 | 11 minutes ago |
67.201.33.10 | us | 25283 | 11 minutes ago |
67.43.228.250 | ca | 21373 | 11 minutes ago |
67.43.227.230 | ca | 4845 | 11 minutes ago |
138.59.165.85 | py | 1024 | 11 minutes ago |
103.63.190.107 | kh | 8080 | 11 minutes ago |
41.230.216.70 | tn | 80 | 11 minutes ago |
125.228.143.207 | tw | 4145 | 11 minutes ago |
213.143.113.82 | at | 80 | 11 minutes ago |
194.158.203.14 | by | 80 | 11 minutes ago |
62.99.138.162 | at | 80 | 11 minutes ago |
82.119.96.254 | sk | 80 | 11 minutes ago |
41.207.187.178 | tg | 80 | 11 minutes ago |
197.211.24.206 | ke | 5678 | 11 minutes ago |
190.58.248.86 | tt | 80 | 11 minutes ago |
80.120.49.242 | at | 80 | 11 minutes ago |
103.118.46.61 | kh | 8080 | 11 minutes ago |
103.118.46.174 | kh | 8080 | 11 minutes ago |
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Parsing HTML in C++ can be achieved using libraries that provide HTML parsing capabilities. One such popular library is Gumbo, developed by Google. Gumbo is an HTML5 parsing library that provides an easy-to-use API for extracting information from HTML documents.
Here's a basic example of parsing HTML using Gumbo in C++
Install Gumbo Library
Follow the installation instructions on the Gumbo GitHub repository to build and install the library.
Include Gumbo Headers in Your C++ Code:
#include
Write HTML Parsing Code:
#include
#include
void parseHtml(const char* html) {
GumboOutput* output = gumbo_parse(html);
// Process the parsed HTML tree
// ...
// Clean up
gumbo_destroy_output(&kGumboDefaultOptions, output);
}
int main() {
const char* html = "Sample HTML Hello, World!
";
parseHtml(html);
return 0;
}
The parseHtml function takes an HTML string as input, uses Gumbo to parse it, and then you can traverse the resulting parse tree to extract information.
Traverse the Parse Tree:
void traverseNode(GumboNode* node) {
if (node->type == GUMBO_NODE_ELEMENT) {
// Handle element node
GumboElement* element = &node->v.element;
// Extract tag name: element->tag
// Process attributes: element->attributes
} else if (node->type == GUMBO_NODE_TEXT) {
// Handle text node
GumboText* text = &node->v.text;
// Extract text content: text->text
}
// Recursively traverse child nodes
if (node->type != GUMBO_NODE_TEXT && node->v.element.children.length > 0) {
for (unsigned int i = 0; i < node->v.element.children.length; ++i) {
traverseNode(static_cast(node->v.element.children.data[i]));
}
}
}
void processParsedHtml(GumboNode* root) {
// Traverse the parsed HTML tree
traverseNode(root);
}
Modify the traverseNode function according to your needs to extract information from HTML elements and text nodes.
Compile and Run:
Compile your C++ code with the Gumbo library linked.
Run the executable.
Remember to handle memory management properly and check for errors when using Gumbo. The example above provides a basic framework, and you may need to adapt it based on the specific HTML structure you are dealing with.
Error 500 usually indicates an internal server error. When you're getting this error while querying /wd/hub/sessions to Docker Selenium, it might be due to several reasons. Here are some steps you can take to troubleshoot and resolve the issue:
Check logs: Inspect the logs of the Selenium server container to get more information about the error. You can do this by running the following command:
docker logs
Replace
Verify configuration: Ensure that your Selenium server configuration is correct. Make sure that the hub and node containers are properly set up and can communicate with each other. Check the port mappings and network settings.
Update versions: Make sure you are using compatible versions of Selenium server, WebDriver, and any other related libraries or tools. Sometimes, compatibility issues can cause unexpected errors.
Resource constraints: Check if your system has enough resources (CPU, memory, and disk space) to run the Selenium server and nodes. If your system is running out of resources, it might cause the server to return an error.
Firewall or network issues: Ensure that there are no firewall rules or network configurations that might be blocking the communication between the hub and node containers.
Restart containers: If none of the above steps help, try restarting the Selenium server and node containers. This can sometimes resolve temporary issues.
If you continue to face the issue, please provide more information about your setup, including the versions of Selenium server, WebDriver, and any other related libraries or tools you are using. This will help in providing more specific guidance to resolve the issue.
Selenium is a popular tool for automating web browser interactions, but it does not have built-in support for interacting with browser push notifications. Push notifications are a feature of the browser itself, and Selenium operates at a lower level, interacting with the Document Object Model (DOM) and simulating user actions.
However, you can use Selenium in combination with JavaScript to interact with push notifications. Here's a step-by-step guide on how to do this:
1. Set up your Selenium environment: Make sure you have the necessary Selenium libraries and a web driver installed for the browser you want to automate.
2. Launch the browser and navigate to the website that triggers the push notification.
3. Wait for the push notification to appear. You can use Selenium's WebDriverWait and expected conditions to wait for the notification to appear.
4. Execute a JavaScript command to interact with the push notification. You can use Selenium's execute_script method to run JavaScript code that interacts with the push notification.
Here's an example Python script using Selenium and the Chrome WebDriver that demonstrates these steps:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# Set up the Chrome WebDriver
driver = webdriver.Chrome()
# Navigate to the website that triggers the push notification
driver.get("https://example.com")
# Wait for the push notification to appear
wait = WebDriverWait(driver, 10)
push_notification = wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, "div.push-notification")))
# Execute JavaScript to click the push notification
driver.execute_script("arguments[0].click();", push_notification)
# Perform any additional actions after clicking the push notification
# ...
# Close the browser
driver.quit()
Please replace the "div.push-notification" CSS selector with the appropriate selector for the push notification element on the website you are working with. Also, make sure to adjust the wait time (10 seconds in this example) as needed for the push notification to appear.
Keep in mind that this approach relies on executing JavaScript code, which can be more brittle than using Selenium's native methods. It's essential to handle exceptions and edge cases, such as the push notification not appearing within the expected time frame.
To send data back to the client via UDP, you can use a programming language like Python with a library like socket. Here's a step-by-step guide to help you achieve this:
1. Import the socket library:
First, import the socket library in your Python script.
import socket
2. Create a socket object:
Create a socket object using the socket.socket() function. Specify the socket family (AF_INET for IPv4) and the socket type (SOCK_DGRAM for UDP).
server_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
3. Set the server address and port:
Set the server address and port to the values where you want to listen for incoming UDP packets.
server_address = ('localhost', 10000)
server_socket.bind(server_address)
4. Receive data from the client:
Use the server_socket.recvfrom() method to receive data from the client. This method returns a tuple containing the data and the client address.
data, client_address = server_socket.recvfrom(4096)
5. Process the received data:
Process the received data as needed. This could involve parsing the data, performing calculations, or any other operation.
6. Send data back to the client:
Use the server_socket.sendto() method to send data back to the client. This method takes the data to send and the client address as arguments.
response_data = b"Data processed successfully"
server_socket.sendto(response_data, client_address)
7. Close the socket:
Finally, close the socket using the server_socket.close() method.
server_socket.close()
Here's the complete example:
import socket
def process_data(data):
# Process the received data as needed
return "Processed data"
def send_data_back_to_client(server_socket, client_address, data):
response_data = process_data(data)
server_socket.sendto(response_data, client_address)
if __name__ == '__main__':
server_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
server_address = ('localhost', 10000)
server_socket.bind(server_address)
data, client_address = server_socket.recvfrom(4096)
send_data_back_to_client(server_socket, client_address, data)
server_socket.close()
All you need to know when using a web proxy is the address of the web site of the proxy server. A web proxy is like a browser built into a web page. Usually, it always has a bar for entering the URL of the web site you want to open. After entering the URL of the web proxy server address into the address bar of the browser, enter the address of the desired web site into the proxy URL and press "Enter".
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