IP | Country | PORT | ADDED |
---|---|---|---|
212.108.155.170 | cy | 9090 | 1 minute ago |
176.31.110.126 | fr | 45517 | 1 minute ago |
67.43.228.250 | ca | 28855 | 1 minute ago |
128.140.113.110 | de | 4145 | 1 minute ago |
31.130.127.215 | ru | 5678 | 1 minute ago |
72.10.164.178 | ca | 10055 | 1 minute ago |
67.201.33.10 | us | 25283 | 1 minute ago |
46.105.105.223 | fr | 18579 | 1 minute ago |
51.89.21.99 | gb | 59577 | 1 minute ago |
41.230.216.70 | tn | 80 | 1 minute ago |
168.126.68.80 | kr | 80 | 1 minute ago |
89.161.90.203 | pl | 5678 | 1 minute ago |
62.103.186.66 | gr | 4153 | 1 minute ago |
72.195.34.59 | us | 4145 | 1 minute ago |
37.128.107.102 | pl | 4145 | 1 minute ago |
45.177.80.214 | ar | 1080 | 1 minute ago |
67.43.236.20 | ca | 12651 | 1 minute ago |
185.49.31.205 | pl | 8080 | 1 minute ago |
213.143.113.82 | at | 80 | 1 minute ago |
103.216.50.224 | kh | 8080 | 1 minute ago |
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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).
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:
Add Delays Between Requests:
puppeteer
(for headless browser scraping) or p-queue
to manage the rate of your requests.Randomize Delays:
Use Proxies:
Implement User Agents:
Respect robots.txt
:
robots.txt
file of the website to understand which parts of the site are off-limits for scraping.robots.txt
.Session Management:
Handle Captchas:
Error Handling:
Reduce Concurrent Requests:
p-queue
to control concurrency.Monitor and Adjust:
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.
Fail2Ban is a security tool that analyzes log files for malicious patterns and bans IP addresses that show suspicious activity. Although Fail2Ban is primarily designed to work with TCP-based protocols like SSH, HTTP, and MySQL, it can be configured to work with UDP-based protocols, including UDP flood attacks.
To use Fail2Ban to protect your server from UDP flood attacks, follow these steps:
1. Install Fail2Ban:
sudo apt-get update
sudo apt-get install fail2ban
2. Create a custom UDP log file:
Create a log file to store the UDP flood attack data. This log file should be located in the /var/log/ directory, and it should have the appropriate permissions. For example, you can create a log file named udp-flood.log:
sudo touch /var/log/udp-flood.log
sudo chown syslog:adm /var/log/udp-flood.log
sudo chmod 640 /var/log/udp-flood.log
3. Configure Fail2Ban to monitor the UDP log file:
Create a new filter file for UDP flood attacks, for example, /etc/fail2ban/filter.d/udp-flood.conf:
[Definition]
failregex = ^.*UDP.*Flood.*
ignoreregex =
Replace HOST with the actual hostname or IP address of your server, and
Next, create a new action file for UDP flood attacks, for example, /etc/fail2ban/action.d/udp-flood.conf:
[Definition]
actionstart =
actionstop =
actioncheck =
actionban = iptables -I INPUT -s -j DROP; iptables-save
actionunban = iptables -D INPUT -s -j DROP; iptables-save
Replace IP with the IP address of the banned host.
Finally, create a new jail configuration file for UDP flood attacks, for example, /etc/fail2ban/jail.d/udp-flood.local.conf:
[udp-flood]
enabled = true
port =
logpath = /var/log/udp-flood.log
maxretry = 3
findtime = 300
bantime = 1800
action = udp-flood
Replace UDP_PORT with the UDP port you want to monitor.
Reload Fail2Ban configuration:
sudo systemctl reload fail2ban
XEvil is a captcha recognition software, and using it with Python involves interacting with the XEvil API. Typically, XEvil provides a DLL library, and you need to make API calls to it. However, note that XEvil is a third-party commercial product, and you should have the necessary license to use it.
Here is a basic outline of how you might interact with XEvil 4.0 from Python:
Download and Install XEvil 4.0:
Ensure you have a valid license for XEvil.
Download and install XEvil on your machine.
Identify XEvil API Documentation:
Refer to the documentation provided with XEvil, specifically the API documentation. This will guide you on how to make API calls to XEvil.
Make API Calls from Python:
Python does not have a direct interface for XEvil, so you might need to use an intermediary method, such as calling XEvil from the command line or using a wrapper library.
Example using subprocess to call XEvil from the command line:
import subprocess
def solve_captcha(image_path):
command = ["path/to/xevil.exe", "-solve", image_path]
result = subprocess.run(command, capture_output=True, text=True)
return result.stdout.strip()
captcha_result = solve_captcha("path/to/captcha_image.png")
print("Captcha Result:", captcha_result)
Handle Captcha Results:
The result from XEvil will typically be a string containing the recognized captcha text or some indication of success or failure.
Your Python script can then use this result as needed, for example, to submit a form with the recognized captcha.
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.
What else…