Python Proxies
Best-performing Python proxies from 195 countries
- Top performing Python proxies for web scraping
- Residential, mobile, ISP, and datacenter proxies
- #1 award winning proxy network
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Python proxies for web scraping at scale
Residential Proxies
- 72,000,000+ IPs
- Available in 195 countries
- The largest rotating real-peer IP network
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Datacenter Proxies
- 1,600,000+ IPs
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ISP Proxies
- 700,000+ IPs
- Available in 35 countries
- Real static residential IPs without IP rotation
- Best for logging into multiple accounts
Mobile Proxies
- 7,000,000+ IPs
- Available in 195 countries
- Largest real-peer 3G/4G IP network in the world
- Verify mobile ads & crawl mobile sites
Highest quality proxies for Python
Largest Global Proxies Networks
Bright Data proxy network is built of over 72million IPs from 195 countries
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99.9% - Bright Data has the highest success rates of any IPs provider
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99.99% Network Uptime, plus a real-time network status monitor
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Why developers prefer Bright Data's Python Proxies
- 比類のないサービス品質
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最高のパフォーマンス
ノンストップイノベーション
最も信頼できる
のスケーリング
難しい統合なしで簡単に使用開始
- Bright Dataの管理画面またはAPIからIPを管理
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使いやすいウェブの最も人気のある
プロキシマネージャー
- 最も人気のある使いやすいプロキシダッシュボード
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- 開発者のために作られた。企業向けの製品
100% compliant proxy network
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.
プロキシとデータ収集の分野における業界トップ
毎日650TBの公共データが収集されている
毎日新機能をリリース
世界有数の大学10校のうち7校にサービスを提供
4.6/5トラストパイロット評価
業界No.1のカスタマーエクスペリエンス
毎日新機能をリリース
必要な時にサポートします
リアルタイムのネットワークパフォーマンス ダッシュボード
マネージャー
パフォーマンスを最適化する
お客様のデータ収集目標を満たします
Get python proxies that drive results
Python proxies network FAQ
What is a network proxy in Python?
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.
How can I use a proxy for HTTP requests in Python?
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('http://example.com', proxies=proxy)
Are there libraries specifically for working with proxies in Python?
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.
What types of proxies are commonly used in Python?
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.
Can I use a proxy with other protocols like FTP or SMTP in Python?
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.