IP | Country | PORT | ADDED |
---|---|---|---|
67.43.236.20 | ca | 28349 | 57 minutes ago |
185.132.242.212 | ru | 8083 | 57 minutes ago |
67.43.227.226 | ca | 25857 | 57 minutes ago |
67.43.236.18 | ca | 2497 | 57 minutes ago |
46.241.57.29 | ru | 1080 | 57 minutes ago |
67.43.228.250 | ca | 30705 | 57 minutes ago |
72.10.164.178 | ca | 30945 | 57 minutes ago |
72.10.160.90 | ca | 10569 | 57 minutes ago |
72.10.160.170 | ca | 20941 | 57 minutes ago |
67.43.227.227 | ca | 16967 | 57 minutes ago |
50.175.212.79 | us | 80 | 57 minutes ago |
82.119.96.254 | sk | 80 | 57 minutes ago |
178.220.148.82 | rs | 10801 | 57 minutes ago |
50.221.230.186 | us | 80 | 57 minutes ago |
212.31.100.138 | cy | 4153 | 57 minutes ago |
181.129.62.2 | co | 47377 | 57 minutes ago |
188.165.192.99 | fr | 8962 | 57 minutes ago |
41.230.216.70 | tn | 80 | 57 minutes ago |
125.228.143.207 | tw | 4145 | 57 minutes ago |
50.171.122.28 | us | 80 | 57 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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And 500+ more programming tools and languages
SQLite is a relational database management system, and XML is a markup language for encoding structured data. SQLite itself doesn't inherently support XML parsing. However, if you have XML data that you want to store in SQLite or retrieve from SQLite, you can follow a process of converting between XML and SQLite data.
Here's a general approach:
Convert XML to a Text Representation: Convert your XML data into a text representation, for example, by serializing it as a string. This can be done using XML serialization libraries available in your programming language.
Store the Text in a SQLite Table: Create a table in SQLite with a column to store the serialized XML text. Insert the XML data into this table.
CREATE TABLE xml_data (id INTEGER PRIMARY KEY, xml_text TEXT);
INSERT INTO xml_data (xml_text) VALUES ('value ');
Retrieve the Text from the SQLite Table: Query the SQLite table to retrieve the stored XML text.
SELECT xml_text FROM xml_data WHERE id = 1;
Convert Text to XML: Deserialize the retrieved text back into XML using XML parsing libraries.
Example in Python using the xml.etree.ElementTree
module:
import xml.etree.ElementTree as ET
# Retrieve XML text from SQLite (replace with actual retrieval logic)
xml_text = "value "
# Parse XML text
root = ET.fromstring(xml_text)
# Access XML elements as needed
element_value = root.find('element').text
print("Element value:", element_value)
This is a basic approach, and the exact steps may depend on the programming language you're using and the tools available in that language for XML serialization and deserialization.
If you're working with XML data frequently, consider exploring databases designed for handling XML, such as XML databases or document-oriented databases, which may offer more native support for XML storage and retrieval. SQLite, being a relational database, is optimized for relational data rather than XML.
To scrape JSON data using RxJava in a Java application, you can use the RxJava library along with an HTTP client library to make requests. Below is an example using RxJava2 and OkHttp to scrape JSON data from a URL asynchronously.
Add Dependencies
Add the following dependencies to your project:
io.reactivex.rxjava2
rxjava
2.x.y
com.squareup.okhttp3
okhttp
4.x.y
Write the Code:
import io.reactivex.Observable;
import io.reactivex.schedulers.Schedulers;
import okhttp3.OkHttpClient;
import okhttp3.Request;
import okhttp3.Response;
public class JsonScrapingExample {
public static void main(String[] args) {
String url = "https://api.example.com/data"; // Replace with your JSON API URL
// Create an Observable that emits a single item (the URL)
Observable.just(url)
.observeOn(Schedulers.io()) // Specify the IO thread for network operations
.map(JsonScrapingExample::fetchJson)
.subscribe(
jsonData -> {
// Process the JSON data (replace this with your scraping logic)
System.out.println("Scraped JSON data: " + jsonData);
},
Throwable::printStackTrace
);
}
// Function to fetch JSON data using OkHttp
private static String fetchJson(String url) throws Exception {
OkHttpClient client = new OkHttpClient();
Request request = new Request.Builder()
.url(url)
.build();
try (Response response = client.newCall(request).execute()) {
if (!response.isSuccessful()) {
throw new Exception("Failed to fetch JSON. HTTP Code: " + response.code());
}
// Return the JSON data as a string
return response.body().string();
}
}
}
url
variable with the actual URL of the JSON API you want to scrape.fetchJson
function uses OkHttp
to make an HTTP request and fetch the JSON data.Run the Code:
This example uses RxJava's Observable
to create an asynchronous stream of events. The observeOn(Schedulers.io())
part specifies that the network operation (fetchJson
) should run on the IO thread to avoid blocking the main thread.
Make sure to handle exceptions appropriately and adjust the code based on the structure of the JSON API you are working with.
To pass a Selenium WebDriver instance to a Python decorator, you can create a custom decorator that takes the WebDriver instance as an argument. Here's an example of how to do this:
First, create a custom decorator that accepts the WebDriver instance:
def webdriver_decorator(driver):
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
return func(driver, *args, **kwargs)
return wrapper
return decorator
Create a function that takes the WebDriver instance as an argument and performs the desired action:
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
def my_function(driver, search_query):
driver.get('https://example.com')
search_box = WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.ID, 'search-box')))
search_box.send_keys(search_query)
search_box.send_keys(Keys.RETURN)
Apply the custom decorator to the function and pass the WebDriver instance:
@webdriver_decorator
def my_function_with_decorator(driver, search_query):
return my_function(driver, search_query)
Now you can use the decorated function and pass the WebDriver instance:
driver = webdriver.Chrome()
driver.get('https://example.com')
search_results = my_function_with_decorator(driver, 'your search query')
In this example, the my_function_with_decorator function is the same as the my_function function, but it is wrapped by the webdriver_decorator. When you call my_function_with_decorator, you need to pass the WebDriver instance as the first argument.
If you are interested in a quality and fast proxy server, do not look for it among the free options. All of them, although they seem to be profitable, in fact do not differ in duration of work and speed. It is recommended to buy quality proxies from reputable proxy service providers that are widely available on the Internet.
This is a proxy server integrated into the app to redirect traffic. It allows you to protect yourself from being tracked or to use the program where it is blocked. For example, at one time, users used a proxy server to bypass Telegram blocking.
What else…