IP | Country | PORT | ADDED |
---|---|---|---|
185.10.129.14 | ru | 3128 | 36 minutes ago |
125.228.94.199 | tw | 4145 | 36 minutes ago |
125.228.143.207 | tw | 4145 | 36 minutes ago |
39.175.77.7 | cn | 30001 | 36 minutes ago |
203.99.240.179 | jp | 80 | 36 minutes ago |
103.216.50.11 | kh | 8080 | 36 minutes ago |
122.116.29.68 | tw | 4145 | 36 minutes ago |
203.99.240.182 | jp | 80 | 36 minutes ago |
212.69.125.33 | ru | 80 | 36 minutes ago |
194.158.203.14 | by | 80 | 36 minutes ago |
50.175.212.74 | us | 80 | 36 minutes ago |
60.217.64.237 | cn | 35292 | 36 minutes ago |
46.105.105.223 | gb | 63462 | 36 minutes ago |
194.87.93.21 | ru | 1080 | 36 minutes ago |
54.37.86.163 | fr | 26701 | 36 minutes ago |
70.166.167.55 | us | 57745 | 36 minutes ago |
98.181.137.80 | us | 4145 | 36 minutes ago |
140.245.115.151 | sg | 6080 | 36 minutes ago |
50.207.199.86 | us | 80 | 36 minutes ago |
87.229.198.198 | ru | 3629 | 36 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.
Quick and easy integration.
Full control and management of proxies via API.
Extensive documentation for a quick start.
Compatible with any programming language that supports HTTP requests.
Ready to improve your product? Explore our API and start integrating today!
And 500+ more programming tools and languages
Scraping without libraries in Python typically involves making HTTP requests, parsing HTML (or other markup languages), and extracting data using basic string manipulation or regular expressions. However, it's important to note that using established libraries like requests for making HTTP requests and BeautifulSoup or lxml for parsing HTML is generally recommended due to their ease of use, reliability, and built-in features.
Here's a simple example of scraping without libraries, where we use Python's built-in urllib for making an HTTP request and then perform basic string manipulation to extract data. In this example, we'll scrape the title of a website:
import urllib.request
def scrape_website(url):
try:
# Make an HTTP request
response = urllib.request.urlopen(url)
# Read the HTML content
html_content = response.read().decode('utf-8')
# Extract the title using string manipulation
title_start = html_content.find('') + len('')
title_end = html_content.find(' ', title_start)
title = html_content[title_start:title_end].strip()
return title
except Exception as e:
print(f"Error: {e}")
return None
# Replace 'https://example.com' with the URL you want to scrape
url_to_scrape = 'https://example.com'
scraped_title = scrape_website(url_to_scrape)
if scraped_title:
print(f"Scraped title: {scraped_title}")
else:
print("Scraping failed.")
Keep in mind that scraping without libraries can quickly become complex as you need to handle various aspects such as handling redirects, managing cookies, dealing with different encodings, and more. Libraries like requests and BeautifulSoup abstract away many of these complexities and provide a more robust solution.
Using established libraries is generally recommended for web scraping due to the potential pitfalls and challenges involved in handling various edge cases on the web. Always ensure that your scraping activities comply with the website's terms of service and legal requirements.
The ModuleNotFoundError: No module named 'selenium' error indicates that Python cannot find the Selenium module in your current environment. To fix this issue, you can follow these steps
1. Install Selenium
Open your terminal or command prompt.
Run the following command to install Selenium using pip:
pip install selenium
Make sure you are running this command in the same environment where your Python script is intended to run.
2. Check Python Version
Ensure that you are using the correct Python version and that you are installing Selenium for that specific version. You can check your Python version by running:
python --version
Ensure that the pip command corresponds to the version of Python you are using.
3. Check Virtual Environment (if applicable)
If you are using a virtual environment, make sure it is activated. Install Selenium after activating the virtual environment.
# Activate the virtual environment
source venv/bin/activate # Linux/Mac
.\venv\Scripts\activate # Windows
# Install Selenium
pip install selenium
4. Check Project Interpreter in IDE
If you are using an Integrated Development Environment (IDE) such as PyCharm, make sure that the project interpreter is correctly set to the Python environment where Selenium is installed. You can check and set the interpreter in the IDE settings.
5. Recreate Virtual Environment (if applicable)
If you are still facing issues, you may consider recreating the virtual environment. Deactivate the current virtual environment, delete the existing one, and create a new virtual environment. Activate the new virtual environment and install Selenium.
6. Check System PATH
Ensure that the directory containing the Python executable and scripts is included in your system's PATH environment variable. This allows the Python interpreter to be found when executing commands.
7. Check for Typos
Double-check your code for any typos or mistakes in the import statement. Ensure that you are using the correct casing and spelling for the module name.
After following these steps, try running your Python script again. The ModuleNotFoundError should be resolved if Selenium is successfully installed in your Python environment. If the issue persists, there might be an issue with your Python environment or project configuration that requires further investigation.
To send a user class object over UDP, you will need to serialize the object into a format that can be transmitted over the network. Here's a step-by-step guide on how to do it in Python:
1. Import necessary libraries:
import pickle
import socket
2. Define your user class:
class User:
def __init__(self, name, age):
self.name = name
self.age = age
3. Serialize the user object using pickle:
def serialize_user(user):
return pickle.dumps(user)
4. Create a UDP socket:
def create_udp_socket(host, port):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind((host, port))
return sock
5. Send the serialized user object over UDP:
def send_user(sock, user, host, port):
serialized_user = serialize_user(user)
sock.sendto(serialized_user, (host, port))
6. Putting it all together:
if __name__ == "__main__":
user = User("John Doe", 30)
host, port = "127.0.0.1", 12345
sock = create_udp_socket(host, port)
send_user(sock, user, host, port)
On the receiving side, you will need to deserialize the received data using pickle and create a new user object from it.
To reset proxy settings, you can follow these steps depending on your operating system:
For Windows:
1. Press the Windows key + R to open the Run dialog.
2. Type "inetcpl" (without quotes) and press Enter. This will open the Internet Properties window.
3. Click on the "Connections" tab.
4. Click on "LAN settings" in the bottom right corner.
5. In the "Proxy Server" section, select "Automatically detect settings" and click "OK".
6. Close the Internet Properties window.
In Windows 10 you need to go to "Settings", go to "Network and Internet", open the tab "Proxy" and make the necessary settings for the connection (under "Manual", the item should also be made active).
What else…