IP | Country | PORT | ADDED |
---|---|---|---|
50.217.226.41 | us | 80 | 37 minutes ago |
209.97.150.167 | us | 3128 | 37 minutes ago |
50.174.7.162 | us | 80 | 37 minutes ago |
50.169.37.50 | us | 80 | 37 minutes ago |
190.108.84.168 | pe | 4145 | 37 minutes ago |
50.174.7.159 | us | 80 | 37 minutes ago |
72.10.160.91 | ca | 29605 | 37 minutes ago |
50.171.122.27 | us | 80 | 37 minutes ago |
218.252.231.17 | hk | 80 | 37 minutes ago |
50.220.168.134 | us | 80 | 37 minutes ago |
50.223.246.238 | us | 80 | 37 minutes ago |
185.132.242.212 | ru | 8083 | 37 minutes ago |
159.203.61.169 | ca | 8080 | 37 minutes ago |
50.223.246.239 | us | 80 | 37 minutes ago |
47.243.114.192 | hk | 8180 | 37 minutes ago |
50.169.222.243 | us | 80 | 37 minutes ago |
72.10.160.174 | ca | 1871 | 37 minutes ago |
50.174.7.152 | us | 80 | 37 minutes ago |
50.174.7.157 | us | 80 | 37 minutes ago |
50.174.7.154 | us | 80 | 37 minutes ago |
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If Bing provides an official API for accessing search results, it is recommended to use the API rather than scraping. Using an API is a more reliable and legal way to obtain search results.
Assuming you have reviewed and comply with Bing's terms of service, and there's no official API available, here's a very basic example using PHP and the file_get_contents function to scrape Bing search results:
This example simply fetches the HTML content of the Bing search results page for a given query. Keep in mind that web scraping is a delicate task, and the structure of the HTML might change, leading to your scraper breaking.
To scrape tags from XML with Python, you can use the xml.etree.ElementTree module, which is part of the Python standard library. Here's an example of how to extract tags from an XML document
Assuming you have an XML file named example.xml like this:
-
Item 1
10.99
-
Item 2
19.99
You can use the following Python code to extract tags:
import xml.etree.ElementTree as ET
# Load the XML file
xml_file_path = 'path/to/example.xml'
tree = ET.parse(xml_file_path)
root = tree.getroot()
# Extract tags
tags = set()
for element in root.iter():
tags.add(element.tag)
# Print the extracted tags
print("Extracted Tags:")
for tag in tags:
print(tag)
This example uses xml.etree.ElementTree to parse the XML file, iterates over the elements, and adds each tag to a set to ensure uniqueness. You can modify this example based on your specific needs.
If you want to extract tags with attributes, you can modify the code accordingly. For example:
import xml.etree.ElementTree as ET
# Load the XML file
xml_file_path = 'path/to/example.xml'
tree = ET.parse(xml_file_path)
root = tree.getroot()
# Extract tags with attributes
tags_with_attributes = set()
for element in root.iter():
tag_with_attributes = element.tag
if element.attrib:
attributes = ', '.join([f"{key}={value}" for key, value in element.attrib.items()])
tag_with_attributes += f" ({attributes})"
tags_with_attributes.add(tag_with_attributes)
# Print the extracted tags with attributes
print("Extracted Tags with Attributes:")
for tag in tags_with_attributes:
print(tag)
This example includes attributes in the extracted tags, displaying them in a format like tag_name (attribute1=value1, attribute2=value2). Adjust the code based on your XML structure and specific requirements.
Scraping Razor pages in a separate AppDomain in C# is an advanced scenario, and it's not a common approach. However, if you have specific requirements that necessitate this, you can achieve it by creating a separate AppDomain for the scraping task. Keep in mind that creating a new AppDomain introduces complexity, and you need to consider potential security and performance implications.
Below is a basic example of how you can use a separate AppDomain for scraping Razor pages. In this example, I'm assuming that you want to perform scraping logic within the separate AppDomain:
using System;
using System.Reflection;
class Program
{
static void Main()
{
// Create a new AppDomain
AppDomain scraperDomain = AppDomain.CreateDomain("ScraperDomain");
try
{
// Load and execute the scraping logic in the separate AppDomain
scraperDomain.DoCallBack(() =>
{
// This code runs in the separate AppDomain
// Load necessary assemblies (e.g., your scraping library)
Assembly.Load("YourScrapingLibrary");
// Perform your scraping logic
RazorPageScraper scraper = new RazorPageScraper();
scraper.Scrape();
});
}
finally
{
// Unload the AppDomain to release resources
AppDomain.Unload(scraperDomain);
}
}
}
// RazorPageScraper class in a separate assembly or namespace
public class RazorPageScraper
{
public void Scrape()
{
// Your scraping logic here
Console.WriteLine("Scraping Razor pages...");
}
}
In this example:
AppDomain
is created using AppDomain.CreateDomain
.AppDomain
using AppDomain.DoCallBack
.RazorPageScraper
class, containing the scraping logic, is assumed to be in a separate assembly or namespace.Keep in mind:
AppDomain
may have security implications. Ensure that you understand the risks and take appropriate precautions.AppDomain
incurs overhead. It might not be suitable for lightweight scraping tasks.This example is simplified, and you need to adapt it based on your specific requirements and the structure of your scraping code.
In UDP, the term "connected" has a different meaning compared to TCP. Since UDP is a connectionless protocol, there is no established connection between the sender and receiver. However, you can determine if the UDP socket is in a listening state or if it has been successfully created.
To check if a UDP socket is in a listening state, you can use the socket.SOCK_DGRAM type and the bind() method. If the socket is successfully created and bound to an address and port, it will be in a listening state and ready to receive incoming UDP packets.
Here's an example using Python:
import socket
# Create a UDP socket
server_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# Bind the socket to an address and port
server_address = ('localhost', 12345)
server_socket.bind(server_address)
# Check if the socket is in a listening state
print("Socket is in a listening state: ", server_socket.getsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR) == 1)
# Close the socket
server_socket.close()
In this example, the bind() method creates a UDP socket and binds it to the specified address and port. The getsockopt() method is used to retrieve the SO_REUSEADDR option, which indicates whether the socket is in a listening state. If the value is 1, the socket is in a listening state and ready to receive incoming UDP packets.
It depends on which browser you are using. In Opera, Chrome, Edge a proxy is configured at the level of the operating system itself. In Firefox in the settings there is a special item (in the "Privacy" section).
What else…