IP | Country | PORT | ADDED |
---|---|---|---|
50.174.7.159 | us | 80 | 28 minutes ago |
50.171.187.51 | us | 80 | 28 minutes ago |
50.172.150.134 | us | 80 | 28 minutes ago |
50.223.246.238 | us | 80 | 28 minutes ago |
67.43.228.250 | ca | 16555 | 28 minutes ago |
203.99.240.179 | jp | 80 | 28 minutes ago |
50.219.249.61 | us | 80 | 28 minutes ago |
203.99.240.182 | jp | 80 | 28 minutes ago |
50.171.187.50 | us | 80 | 28 minutes ago |
62.99.138.162 | at | 80 | 28 minutes ago |
50.217.226.47 | us | 80 | 28 minutes ago |
50.174.7.158 | us | 80 | 28 minutes ago |
50.221.74.130 | us | 80 | 28 minutes ago |
50.232.104.86 | us | 80 | 28 minutes ago |
212.69.125.33 | ru | 80 | 28 minutes ago |
50.223.246.237 | us | 80 | 28 minutes ago |
188.40.59.208 | de | 3128 | 28 minutes ago |
50.169.37.50 | us | 80 | 28 minutes ago |
50.114.33.143 | kh | 8080 | 28 minutes ago |
50.174.7.155 | us | 80 | 28 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
The first thing you need to do to use a proxy in your browser is to make the necessary settings. In Google Chrome browser, go to "Network" and then find and click on "Change proxy settings". In the "Internet properties" window that opens, go to "Connection" and click on the "Network settings" button at the bottom. When a new window opens, check the "Use proxy server for local connections" box and the "Do not use proxy server for local addresses" box. Enter the proxy port and IP address in the corresponding fields, close the window and click "OK".
When performing web scraping with authorization in Python, you typically need to simulate the login process of a user by sending the necessary authentication data (such as username and password) to the website. The exact steps depend on the authentication method used by the website, and there are several common approaches
Basic Authentication (using requests library)
If the website uses HTTP Basic Authentication, you can include the authentication credentials in the request headers using the requests library.
import requests
url = 'https://example.com/data'
username = 'your_username'
password = 'your_password'
response = requests.get(url, auth=(username, password))
if response.status_code == 200:
# Successfully authenticated, you can now parse the content
print(response.text)
else:
print(f"Failed to authenticate. Status code: {response.status_code}")
Form-Based Authentication
For websites that use form-based authentication (login form), you need to send a POST request with the appropriate form data.
import requests
login_url = 'https://example.com/login'
data = {
'username': 'your_username',
'password': 'your_password',
}
# Use a session to persist the authentication across requests
with requests.Session() as session:
response = session.post(login_url, data=data)
if response.status_code == 200:
# Authentication successful, continue with subsequent requests
data_url = 'https://example.com/data'
data_response = session.get(data_url)
print(data_response.text)
else:
print(f"Failed to authenticate. Status code: {response.status_code}")
OAuth Authentication
For websites using OAuth, you might need to use an OAuth library like requests_oauthlib or oauthlib to handle the OAuth flow.
Handling Cookies
Sometimes, authentication is maintained using cookies. In such cases, you need to handle cookies in your requests.
import requests
login_url = 'https://example.com/login'
data = {
'username': 'your_username',
'password': 'your_password',
}
# Use a session to persist the authentication across requests
with requests.Session() as session:
login_response = session.post(login_url, data=data)
if login_response.status_code == 200:
# Authentication successful, continue with subsequent requests
data_url = 'https://example.com/data'
data_response = session.get(data_url)
print(data_response.text)
else:
print(f"Failed to authenticate. Status code: {login_response.status_code}")
This depends directly on how the proxy server works. Some of them do not require any authorization at all, others require username and password for access, and others require you to view ads and so on. Which option will be used depends directly on the service that provides access to the proxy server.
Data parsing in most cases refers to the collection of technical or other information. For example, a local proxy server can be used for parsing "log data". That is, information about the work of the site, the application, which in the future will be useful for developers to find and fix various bugs.
The current version of Skype does not have built-in functionality to work with proxies. That is, it must be configured at the operating system level. The messenger is available for Linux, Windows, MacOS and mobile platforms.
What else…