Is it legal to scrape ProxyScrape?

Scraping the public free proxy list on ProxyScrape is generally considered legal as the data is intended for public consumption and tool integration. However, you should always check their latest Terms of Service to ensure your scraping frequency does not constitute a denial-of-service attack or abuse of their resources.

Does ProxyScrape have an official API?

Yes, ProxyScrape provides a comprehensive API for both free and premium users. The free API allows you to download proxy lists in plain text or JSON format, which is significantly more efficient than parsing the HTML structure of the website.

How can I avoid getting blocked by ProxyScrape?

To avoid being blocked, you should respect their rate limits by not making hundreds of requests per minute. It is best practice to fetch the proxy list every 15 to 30 minutes and store it locally for your application to use rather than requesting it for every scraping task.

What format is the data extracted from ProxyScrape?

Data is typically extracted in IP:Port format or as structured JSON/CSV. When using the API, you can specify parameters to receive the list in a plain text format, which is easily consumable by most automated networking tools.

What are the best proxies to use for scraping ProxyScrape?

If you are scraping the public free list, you generally don't need a proxy or can use a basic data center proxy. For more sensitive areas like the customer dashboard, using high-quality residential proxies is recommended to bypass security filters like Cloudflare.

Can I use the scraped proxies for high-speed scraping?

While you can, free proxies from ProxyScrape are often shared and can have high latency or low uptime. For high-speed scraping, it is better to use the data to build a large pool where you can rotate through many IPs, compensating for individual server slowness.

How often does ProxyScrape update its list?

ProxyScrape updates its free proxy lists approximately every 15 minutes. To ensure your bot has the most reliable connectivity, you should sync your scraper to run on a similar schedule to replace dead proxies with fresh ones.

How to Scrape ProxyScrape: The Ultimate Proxy Data Guide

Master ProxyScrape web scraping to build automated proxy rotators. Extract IP addresses, ports, and protocols from the world's most popular free proxy list.

Start Scraping Free

proxyscrape.comMedium

Coverage:GlobalUnited StatesGermanyUnited KingdomBrazilIndia

Available Data6 fields

TitlePriceLocationPosting DateCategoriesAttributes

All Extractable Fields

IP AddressPortProtocol (HTTP, SOCKS4, SOCKS5)CountryAnonymity LevelLast Checked DateProxy SpeedLatency (ms)Uptime PercentageCity/Location

Technical Requirements

JavaScript Required

No Login

No Pagination

Official API Available

Anti-Bot Protection Detected

CloudflareRate LimitingIP BlockingFingerprinting

View API Documentation

About ProxyScrape

Learn what ProxyScrape offers and what valuable data can be extracted from it.

Comprehensive Proxy Network

ProxyScrape is a prominent proxy service provider that caters to developers, data scientists, and businesses requiring reliable IP rotation for web scraping and online privacy. Founded to simplify the process of obtaining reliable IP addresses, the platform offers a diverse range of products including data center, residential, and mobile proxies. It is particularly well-known for its Free Proxy List section, which provides a regularly updated database of public HTTP, SOCKS4, and SOCKS5 proxies available to everyone without a subscription.

Structured Proxy Intelligence

The website contains structured data regarding proxy availability, including IP addresses, port numbers, geographic locations, and anonymity levels. For business users, ProxyScrape also provides premium dashboards with detailed usage statistics, revolving IP pools, and API integration capabilities. This data is highly valuable for developers building automated systems that require constant IP rotation to avoid rate limits or geographic restrictions on target websites.

Strategic Data Utility

By scraping ProxyScrape, users can maintain a fresh pool of active IP addresses for a variety of use cases, from market research to global ad verification. The site serves as a central hub for free and premium proxy lists, making it a target for those who need to automate the harvesting of connectivity assets to power large-scale web crawlers and scraping bots.

Why Scrape ProxyScrape?

Discover the business value and use cases for extracting data from ProxyScrape.

Building cost-effective proxy rotators for automated web scraping

Monitoring global IP availability and proxy health in real-time

Aggregating free proxy lists for internal developer tools

Competitive analysis of proxy pricing and network pool sizes

Bypassing geo-restrictions for localized market research

Validating the reliability and speed of public proxy servers

Scraping Challenges

Technical challenges you may encounter when scraping ProxyScrape.

Frequent data updates causing proxy lists to go stale rapidly

Strict rate limiting on the free list endpoints and API calls

Dynamic table rendering requiring JavaScript execution for data access

Cloudflare protection on premium dashboard and account areas

Inconsistent data formats between the web interface and the plain text API

Scrape ProxyScrape with AI

No coding required. Extract data in minutes with AI-powered automation.

How It Works

Describe What You Need

Tell the AI what data you want to extract from ProxyScrape. Just type it in plain language — no coding or selectors needed.

AI Extracts the Data

Our artificial intelligence navigates ProxyScrape, handles dynamic content, and extracts exactly what you asked for.

Get Your Data

Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.

Why Use AI for Scraping

No-code interface allows building a proxy extractor in minutes

Handles automatic IP rotation through the scraper itself to prevent bans

Schedule runs every 15 minutes to keep proxy pools fresh

Automatic export to Google Sheets, CSV, or Webhook JSON

Cloud-based execution avoids using local bandwidth and IP addresses

Start Scraping Free

No credit card requiredFree tier availableNo setup needed

No-Code Web Scrapers for ProxyScrape

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape ProxyScrape. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools

Install browser extension or sign up for the platform

Navigate to the target website and open the tool

Point-and-click to select data elements you want to extract

Configure CSS selectors for each data field

Set up pagination rules to scrape multiple pages

Handle CAPTCHAs (often requires manual solving)

Configure scheduling for automated runs

Export data to CSV, JSON, or connect via API

Common Challenges

Learning curve

Understanding selectors and extraction logic takes time

Selectors break

Website changes can break your entire workflow

Dynamic content issues

JavaScript-heavy sites often require complex workarounds

CAPTCHA limitations

Most tools require manual intervention for CAPTCHAs

IP blocking

Aggressive scraping can get your IP banned

Code Examples

import requests
from bs4 import BeautifulSoup

def scrape_proxyscrape():
    # Using the API endpoint as it is more stable than HTML scraping
    url = 'https://api.proxyscrape.com/v2/?request=displayproxies&protocol=http&timeout=10000&country=all&ssl=all&anonymity=all'
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
    }
    
    try:
        response = requests.get(url, headers=headers)
        if response.status_code == 200:
            # The API returns newline-separated IP:Port strings
            proxies = response.text.strip().split('
')
            for proxy in proxies[:10]:
                print(f'Active Proxy: {proxy}')
        else:
            print(f'Error: {response.status_code}')
    except Exception as e:
        print(f'An exception occurred: {e}')

if __name__ == '__main__':
    scrape_proxyscrape()

When to Use

Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.

Advantages

●Fastest execution (no browser overhead)
●Lowest resource consumption
●Easy to parallelize with asyncio
●Great for APIs and static pages

Limitations

●Cannot execute JavaScript
●Fails on SPAs and dynamic content
●May struggle with complex anti-bot systems

import asyncio
from playwright.async_api import async_playwright

async def scrape_proxyscrape_table():
    async with async_playwright() as p:
        browser = await p.chromium.launch(headless=True)
        page = await browser.new_page()
        await page.goto('https://proxyscrape.com/free-proxy-list')
        
        # Wait for the table rows to render via JavaScript
        await page.wait_for_selector('table tbody tr')
        
        proxies = await page.evaluate('''() => {
            const rows = Array.from(document.querySelectorAll('table tbody tr'));
            return rows.map(row => ({
                ip: row.cells[1]?.innerText.trim(),
                port: row.cells[2]?.innerText.trim(),
                country: row.cells[4]?.innerText.trim()
            }));
        }''')
        
        for proxy in proxies[:5]:
            print(proxy)
            
        await browser.close()

asyncio.run(scrape_proxyscrape_table())

When to Use

Use when content loads dynamically via JavaScript, or when you need to interact with the page (clicks, scrolls, form fills). Handles modern anti-bot detection better.

Advantages

●Executes JavaScript like a real browser
●Handles SPAs and dynamic content
●Better anti-bot evasion with stealth plugins
●Can take screenshots and PDFs

Limitations

●Slower than HTTP requests
●Higher memory/CPU usage
●More complex to set up

import scrapy

class ProxySpider(scrapy.Spider):
    name = 'proxyscrape'
    start_urls = ['https://proxyscrape.com/free-proxy-list']

    def parse(self, response):
        # Note: The table is often dynamic, using an API middleware is better
        # for Scrapy, but we can attempt to parse static elements here.
        for row in response.css('table tr'):
            yield {
                'ip': row.css('td:nth-child(2)::text').get(),
                'port': row.css('td:nth-child(3)::text').get(),
                'protocol': row.css('td:nth-child(1)::text').get(),
            }

When to Use

Ideal for large-scale crawling projects that need to scrape thousands of pages. Built-in support for rate limiting, retries, and data pipelines.

Advantages

●Built for scale (millions of pages)
●Automatic request throttling
●Built-in data export pipelines
●Middleware system for proxies/headers

Limitations

●Steeper learning curve
●Overkill for small projects
●No native JavaScript rendering

const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto('https://proxyscrape.com/free-proxy-list');

  // Wait for dynamic table to load
  await page.waitForSelector('table');

  const data = await page.evaluate(() => {
    const rows = Array.from(document.querySelectorAll('table tbody tr'));
    return rows.map(row => ({
      ip: row.querySelector('td:nth-child(2)')?.innerText,
      port: row.querySelector('td:nth-child(3)')?.innerText
    }));
  });

  console.log(data.slice(0, 10));
  await browser.close();
})();

When to Use

Choose this if you're in a Node.js/JavaScript ecosystem or need tight integration with frontend tools. Similar capabilities to Playwright.

Advantages

●Native JavaScript/TypeScript support
●Chrome DevTools Protocol access
●Large ecosystem and community
●Good for JS-heavy projects

Limitations

●Chrome-only (vs Playwright's multi-browser)
●Similar overhead to Playwright
●Less mature stealth options

How to Scrape ProxyScrape with Code

Python + Requests

import requests
from bs4 import BeautifulSoup

def scrape_proxyscrape():
    # Using the API endpoint as it is more stable than HTML scraping
    url = 'https://api.proxyscrape.com/v2/?request=displayproxies&protocol=http&timeout=10000&country=all&ssl=all&anonymity=all'
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
    }
    
    try:
        response = requests.get(url, headers=headers)
        if response.status_code == 200:
            # The API returns newline-separated IP:Port strings
            proxies = response.text.strip().split('
')
            for proxy in proxies[:10]:
                print(f'Active Proxy: {proxy}')
        else:
            print(f'Error: {response.status_code}')
    except Exception as e:
        print(f'An exception occurred: {e}')

if __name__ == '__main__':
    scrape_proxyscrape()

Python + Playwright

import asyncio
from playwright.async_api import async_playwright

async def scrape_proxyscrape_table():
    async with async_playwright() as p:
        browser = await p.chromium.launch(headless=True)
        page = await browser.new_page()
        await page.goto('https://proxyscrape.com/free-proxy-list')
        
        # Wait for the table rows to render via JavaScript
        await page.wait_for_selector('table tbody tr')
        
        proxies = await page.evaluate('''() => {
            const rows = Array.from(document.querySelectorAll('table tbody tr'));
            return rows.map(row => ({
                ip: row.cells[1]?.innerText.trim(),
                port: row.cells[2]?.innerText.trim(),
                country: row.cells[4]?.innerText.trim()
            }));
        }''')
        
        for proxy in proxies[:5]:
            print(proxy)
            
        await browser.close()

asyncio.run(scrape_proxyscrape_table())

Python + Scrapy

import scrapy

class ProxySpider(scrapy.Spider):
    name = 'proxyscrape'
    start_urls = ['https://proxyscrape.com/free-proxy-list']

    def parse(self, response):
        # Note: The table is often dynamic, using an API middleware is better
        # for Scrapy, but we can attempt to parse static elements here.
        for row in response.css('table tr'):
            yield {
                'ip': row.css('td:nth-child(2)::text').get(),
                'port': row.css('td:nth-child(3)::text').get(),
                'protocol': row.css('td:nth-child(1)::text').get(),
            }

Node.js + Puppeteer

const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto('https://proxyscrape.com/free-proxy-list');

  // Wait for dynamic table to load
  await page.waitForSelector('table');

  const data = await page.evaluate(() => {
    const rows = Array.from(document.querySelectorAll('table tbody tr'));
    return rows.map(row => ({
      ip: row.querySelector('td:nth-child(2)')?.innerText,
      port: row.querySelector('td:nth-child(3)')?.innerText
    }));
  });

  console.log(data.slice(0, 10));
  await browser.close();
})();

What You Can Do With ProxyScrape Data

Explore practical applications and insights from ProxyScrape data.

Automated Proxy Rotator

Create a self-refreshing pool of free IPs to rotate web scraping requests and prevent account or IP bans.

How to implement:

1Scrape the ProxyScrape API for HTTP and SOCKS5 proxies.
2Store the IP:Port pairs in a centralized database or cache.
3Integrate the database with your scraping bot to select a new IP per request.
4Remove failing IPs automatically from the pool to maintain high success rates.

Use Automatio to extract data from ProxyScrape and build these applications without writing code.

More than just prompts

Supercharge your workflow with AI Automation

Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.

AI Agents

Web Automation

Smart Workflows

Get Started Free

Pro Tips for Scraping ProxyScrape

Expert advice for successfully extracting data from ProxyScrape.

Prioritize using the official API endpoints over scraping the HTML table for higher speed and reliability.

Always implement a secondary validation script to verify the health of extracted proxies before using them in production.

Filter for 'Elite' or 'High Anonymity' proxies to ensure your scraping activities remain undetectable to target sites.

Schedule your scraping tasks at 15-minute intervals to stay synced with ProxyScrape's internal list refreshes.

Use residential proxies when scraping the premium dashboard to avoid detection by Cloudflare's security layer.

Export your data directly to a database like Redis for rapid access by your rotating proxy middleware.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Mohammed Ibrahim

CEO, qannas.pro

Ben Bressington

CTO, AiChatSolutions

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Related Web Scraping

Frequently Asked Questions About ProxyScrape

Find answers to common questions about ProxyScrape

How to Scrape ProxyScrape: The Ultimate Proxy Data Guide

About ProxyScrape

Comprehensive Proxy Network

Structured Proxy Intelligence

Strategic Data Utility

Why Scrape ProxyScrape?

Scraping Challenges

Scrape ProxyScrape with AI

How It Works

Why Use AI for Scraping

No-Code Web Scrapers for ProxyScrape

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

What You Can Do With ProxyScrape Data

Automated Proxy Rotator

Global SERP Analysis

Regional Price Monitoring

Ad Verification Services

Supercharge your workflow with AI Automation

Pro Tips for Scraping ProxyScrape

What Our Users Say

Related Web Scraping

How to Scrape Biluppgifter.se: Vehicle Data Extraction Guide

How to Scrape CSS Author: A Comprehensive Web Scraping Guide

How to Scrape Bilregistret.ai: Swedish Vehicle Data Extraction Guide

How to Scrape The AA (theaa.com): A Technical Guide for Car & Insurance Data

How to Scrape GoAbroad Study Abroad Programs

How to Scrape Car.info | Vehicle Data & Valuation Extraction Guide

How to Scrape ResearchGate: Publication and Researcher Data

How to Scrape Statista: The Ultimate Guide to Market Data Extraction

Frequently Asked Questions About ProxyScrape

Is it legal to scrape ProxyScrape?

Does ProxyScrape have an official API?

How can I avoid getting blocked by ProxyScrape?

What format is the data extracted from ProxyScrape?

What are the best proxies to use for scraping ProxyScrape?

Can I use the scraped proxies for high-speed scraping?

How often does ProxyScrape update its list?

How to Scrape ProxyScrape: The Ultimate Proxy Data Guide

About ProxyScrape

Comprehensive Proxy Network

Structured Proxy Intelligence

Strategic Data Utility

Why Scrape ProxyScrape?

Scraping Challenges

Scrape ProxyScrape with AI

How It Works

Why Use AI for Scraping

How to scrape with AI:

Why use AI for scraping:

No-Code Web Scrapers for ProxyScrape

Typical Workflow with No-Code Tools

Common Challenges

No-Code Web Scrapers for ProxyScrape

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

How to Scrape ProxyScrape with Code

Python + Requests

Python + Playwright

Python + Scrapy

Node.js + Puppeteer

What You Can Do With ProxyScrape Data

Automated Proxy Rotator

Global SERP Analysis

Regional Price Monitoring

Ad Verification Services

What You Can Do With ProxyScrape Data

Supercharge your workflow with AI Automation

Pro Tips for Scraping ProxyScrape

What Our Users Say

Related Web Scraping

How to Scrape Biluppgifter.se: Vehicle Data Extraction Guide

How to Scrape CSS Author: A Comprehensive Web Scraping Guide

How to Scrape Bilregistret.ai: Swedish Vehicle Data Extraction Guide

How to Scrape The AA (theaa.com): A Technical Guide for Car & Insurance Data

How to Scrape GoAbroad Study Abroad Programs

How to Scrape Car.info | Vehicle Data & Valuation Extraction Guide

How to Scrape ResearchGate: Publication and Researcher Data

How to Scrape Statista: The Ultimate Guide to Market Data Extraction

Frequently Asked Questions About ProxyScrape

Is it legal to scrape ProxyScrape?

Does ProxyScrape have an official API?

How can I avoid getting blocked by ProxyScrape?

What format is the data extracted from ProxyScrape?

What are the best proxies to use for scraping ProxyScrape?

Can I use the scraped proxies for high-speed scraping?

How often does ProxyScrape update its list?