IP | Country | PORT | ADDED |
---|---|---|---|
185.10.129.14 | ru | 3128 | 44 minutes ago |
125.228.94.199 | tw | 4145 | 44 minutes ago |
125.228.143.207 | tw | 4145 | 44 minutes ago |
39.175.77.7 | cn | 30001 | 44 minutes ago |
203.99.240.179 | jp | 80 | 44 minutes ago |
103.216.50.11 | kh | 8080 | 44 minutes ago |
122.116.29.68 | tw | 4145 | 44 minutes ago |
203.99.240.182 | jp | 80 | 44 minutes ago |
212.69.125.33 | ru | 80 | 44 minutes ago |
194.158.203.14 | by | 80 | 44 minutes ago |
50.175.212.74 | us | 80 | 44 minutes ago |
60.217.64.237 | cn | 35292 | 44 minutes ago |
46.105.105.223 | gb | 63462 | 44 minutes ago |
194.87.93.21 | ru | 1080 | 44 minutes ago |
54.37.86.163 | fr | 26701 | 44 minutes ago |
70.166.167.55 | us | 57745 | 44 minutes ago |
98.181.137.80 | us | 4145 | 44 minutes ago |
140.245.115.151 | sg | 6080 | 44 minutes ago |
50.207.199.86 | us | 80 | 44 minutes ago |
87.229.198.198 | ru | 3629 | 44 minutes ago |
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In Node.js, you can introduce delays in your scraping logic using the setTimeout function, which allows you to execute a function after a specified amount of time has passed. This is useful for implementing delays between consecutive requests to avoid overwhelming a server or to comply with rate-limiting policies.
Here's a simple example using the setTimeout function in a Node.js script:
const axios = require('axios'); // Assuming you use Axios for making HTTP requests
// Function to scrape data from a URL with a delay
async function scrapeWithDelay(url, delay) {
try {
// Make the HTTP request
const response = await axios.get(url);
// Process the response data (replace this with your scraping logic)
console.log(`Scraped data from ${url}:`, response.data);
// Introduce a delay before making the next request
await sleep(delay);
// Make the next request or perform additional scraping logic
// ...
} catch (error) {
console.error(`Error scraping data from ${url}:`, error.message);
}
}
// Function to introduce a delay using setTimeout
function sleep(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
// Example usage
const urlsToScrape = ['https://example.com/page1', 'https://example.com/page2', 'https://example.com/page3'];
// Loop through each URL and initiate scraping with a delay
const delayBetweenRequests = 2000; // Adjust the delay time in milliseconds (e.g., 2000 for 2 seconds)
for (const url of urlsToScrape) {
scrapeWithDelay(url, delayBetweenRequests);
}
In this example:
scrapeWithDelay
function performs the scraping logic for a given URL and introduces a delay before making the next request.sleep
function is a simple utility function that returns a promise that resolves after a specified number of milliseconds, effectively introducing a delay.urlsToScrape
array contains the URLs you want to scrape. Adjust the delay time (delayBetweenRequests
) based on your scraping needs.Please note that introducing delays is crucial when scraping websites to avoid being blocked or flagged for suspicious activity.
To wait for a button to be clickable using Selenium, you can use the WebDriverWait class along with the expected_conditions module. Here's an example using Python:
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 the path to the ChromeDriver executable
chrome_driver_path = "path/to/chromedriver"
# Initialize the Chrome WebDriver
driver = webdriver.Chrome(executable_path=chrome_driver_path)
# Your Selenium code goes here
# Wait for the button to be clickable
button = WebDriverWait(driver, 10).until(
EC.element_to_be_clickable((By.ID, "button-id"))
)
# Click the button
button.click()
# Your code after clicking the button
# Close the browser
driver.quit()
Replace path/to/chromedriver with the appropriate path to your ChromeDriver executable and "button-id" with the ID of the button you want to wait for.
In this example, WebDriverWait will wait for up to 10 seconds for the button with the specified ID to become clickable. If the button is not clickable within the specified time, a TimeoutException will be raised.
You can also use other expected_conditions such as visibility_of_element_located, presence_of_element_located, or staleness_of depending on your specific use case.
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()
There are special online services that use IP and HTTP connection tags to determine if a proxy is being used from your equipment. The most popular are Proxy Checker, Socproxy.
Proxies in Instagram are most often used for two purposes. The first is to bypass access blocking. The second is to avoid being banned when working with several accounts at once. The latter, as a rule, is used when arbitrating traffic, when launching massive advertising campaigns, which allows you not to worry about possibly getting a permanent ban.
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