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To protect your reputation and ensure your data is reliable, your Python proxies must be sourced ethically and meet compliance standards. Bright Data is fully committed to complying with all relevant data protection legal requirements, including the new EU data protection regulatory framework, GDPR, and the California Consumer Privacy Act of 2018 (CCPA) – respecting requests to exercise privacy rights.

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Python proxies network FAQ

A network proxy in Python is an intermediary server that sits between a client application and a destination server. It facilitates communication by forwarding requests from clients to servers and vice versa, allowing for various functionalities such as caching, security, and content filtering.

You can use the requests library to make HTTP requests through a proxy. Set up a proxy dictionary and pass it to the proxies parameter when making a request. Example:

import requests
proxy = {'http': 'http://your_proxy_address', 'https': 'https://your_proxy_address'}
response = requests.get('', proxies=proxy)

Yes, there are libraries like requests and urllib that provide support for proxies in Python. These libraries allow you to configure proxies when making HTTP requests.

Common types include HTTP proxies, which handle HTTP traffic, and SOCKS proxies, which are more versatile and can handle various protocols. The type of proxy you use depends on your specific use case and requirements.

Yes, you can configure proxies for various protocols. Different libraries may be required depending on the protocol. For example, the "urllib" library supports proxies for FTP.

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