Geonode Proxy

In a local network, you will need two computers to do this. One will be used as a proxy server, the other as a client. Then you need to activate the proxy on the server. And on the client PC - choose to access the Internet via a local network connection (i.e. from the server). Another option is to use a web server like Nginx.

Distributing scraping correctly involves implementing techniques to handle rate limiting, avoid overloading servers, and ensuring your scraping activities are respectful and compliant with the website's terms of service. If you're encountering 503 errors (Service Unavailable), it likely indicates that the server is overwhelmed or intentionally blocking excessive requests. Here are some strategies to address this issue:

1. Add Delays Between Requests:

   • Introduce delays between your requests to avoid hitting the server too quickly. This is commonly known as "throttling" your requests.
   • Use libraries like puppeteer (for headless browser scraping) or p-queue to manage the rate of your requests.

2. Randomize Delays:

   • Instead of using fixed delays, consider randomizing them to mimic more natural user behavior.
   • This helps in avoiding detection and mitigation mechanisms that are triggered by constant patterns.

3. Use Proxies:

   • Rotate IP addresses using proxies to distribute requests across multiple IP addresses.
   • This can help overcome IP-based rate limiting or blocking.

4. Implement User Agents:

   • Use a variety of user agents to simulate requests from different browsers and devices.
   • Websites often have different policies for different types of clients.

5. Respect robots.txt:

   • Check the robots.txt file of the website to understand which parts of the site are off-limits for scraping.
   • Avoid scraping prohibited areas mentioned in robots.txt.

6. Session Management:

   • Use session management techniques to maintain a persistent session when scraping across multiple requests.
   • Some websites may have protection mechanisms based on session data.

7. Handle Captchas:

   • Be prepared to handle captchas if the website employs them to detect automated scraping.
   • Consider using tools like CAPTCHA solving services if necessary.

8. Error Handling:

   • Implement robust error handling to deal with different HTTP status codes.
   • Log errors and adjust your scraping strategy accordingly.

9. Reduce Concurrent Requests:

   • Limit the number of concurrent requests to avoid overwhelming the server.
   • Use libraries like p-queue to control concurrency.

10. Monitor and Adjust:

    • Continuously monitor your scraping activities and adjust your strategy based on the website's response.
    • If you receive a 503 error, consider backing off and retrying after a delay.

Remember, it's essential to respect the website's terms of service and not engage in aggressive scraping practices that could negatively impact the site. If you continue to encounter issues, consider reaching out to the website's administrators to seek permission or explore alternative data sources or APIs if available.

If you want to access Instagram data, consider using the Instagram Graph API. However, note that the Graph API has limitations and may not provide access to all public content.

Here is an example using Python and the instagram_private_api library

from instagram_private_api import Client, ClientCompatPatch

# Replace 'your_username' and 'your_password' with your Instagram credentials
username = 'your_username'
password = 'your_password'

api = Client(username, password)
results = api.user_feed('instagram', count=10)  # Replace 'instagram' with the target account username

for post in results['items']:
    media_id = post['id']
    comments = api.media_n_comments(media_id, count=5)  # Replace 5 with the desired number of comments to retrieve
    for comment in comments['comments']:
        print(comment['user']['username'] + ': ' + comment['text'])

api.logout()

Encrypting a UDP connection with TLS is not directly possible, as TLS is designed to work with TCP connections. However, you can use Datagram TLS (DTLS) or Secure Reliable Datagram (SRD) to achieve a similar result. DTLS is an extension of TLS that works with UDP, while SRD is a protocol that provides secure and reliable datagrams over UDP.

Here's an example of how to encrypt a UDP connection with DTLS using the Crypto++ library in C++:

1. First, install the Crypto++ library on your system. You can find the installation instructions at: https://www.cryptopp.com/wiki/Installing

2. Create a new C++ project and include the necessary Crypto++ headers.

3. Define the necessary structures and classes for DTLS:

#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 

4. Implement the DTLS handshake and data exchange:

int main()
{
    try
    {
        CryptoPP::AutoSeededRandomPool rng;

        // Generate a DTLS context
        CryptoPP::DTLS_Context dtlsContext(CryptoPP::DTLS_CLIENT);

        // Set up the DTLS context
        dtlsContext.SetPeerCertVerificationCallback(
            [](const CryptoPP::DTLS_PeerCertificate& peerCert, int& errorCode) -> bool
        {
            // Verify the peer certificate
            // Return true if the certificate is valid, false otherwise
        });

        // Perform the DTLS handshake
        dtlsContext.StartHandshake();

        // Send data over the encrypted UDP connection
        std::string data = "Hello, secure UDP!";
        std::vector encryptedData;
        dtlsContext.Encrypt(data.data(), data.size(), encryptedData);

        // Receive data over the encrypted UDP connection
        std::vector receivedData(encryptedData.size());
        dtlsContext.Decrypt(receivedData.data(), receivedData.size(), encryptedData);

        // Convert the received data to a string
        std::string receivedString(receivedData.begin(), receivedData.end());

        // Output the received data

Technically, the ISP cannot block all VPN servers. But it is possible to block some of them. In this case, you can use any other VPN service. But you have to be careful with "free" ones, as they often make money from collecting and selling users' confidential data.