Is it legal to scrape 2Captcha?

Scraping public pricing and statistics from 2Captcha is generally legal as long as the data is publicly accessible and the process does not disrupt their services. However, you should always review their Terms of Service and respect any data privacy regulations in your specific jurisdiction.

Does 2Captcha have an official API for statistics?

Yes, 2Captcha provides an API for submitting and receiving CAPTCHAs, but it lacks comprehensive endpoints for all the real-time market data found on their dashboard. Web scraping remains the most reliable method for gathering broad competitive intelligence and detailed pricing trends.

How do I avoid getting blocked by 2Captcha?

To avoid blocks, use high-reputation residential proxies and avoid making too many requests in a short period. Implementing browser automation that mimics human behavior, such as variable scrolling and mouse movements, is also essential for bypassing their security measures.

What format is the scraped data available in?

When using tools like Automatio, you can export the scraped 2Captcha data into various formats including JSON, CSV, or Google Sheets. JSON is typically preferred for developers who want to feed this data directly into their own automation pipelines or monitoring dashboards.

How often should I scrape 2Captcha for pricing and speed stats?

Pricing changes are usually infrequent and can be monitored once or twice daily. However, solving speeds and system capacity fluctuate minute-by-minute, so scraping every 15 to 30 minutes is recommended if you need real-time operational data.

Which proxies work best for 2Captcha scraping?

Residential proxies are the most effective because they appear as legitimate home users. Datacenter proxies are often pre-flagged by anti-bot providers like Cloudflare and are likely to result in immediate 403 Forbidden errors or constant CAPTCHA challenges.

Do I need to be logged in to scrape 2Captcha data?

General pricing tables are accessible without an account, but detailed user-specific stats, historical balance data, and advanced worker metrics require you to be logged in. In these cases, your scraper must be able to handle secure session authentication and cookie persistence.

Can I scrape 2Captcha using a headless browser?

Yes, a headless browser is actually required because the site relies heavily on JavaScript for rendering its real-time data. Tools like Playwright, Puppeteer, or Automatio are ideal as they can execute the JavaScript and capture the data after it has fully loaded.

How to Scrape 2Captcha: Extract CAPTCHA Solving Rates and Pricing Stats

Learn how to scrape 2Captcha.com to monitor CAPTCHA solving prices, performance metrics, and service availability. Essential for optimizing automation costs.

Start Scraping Free

2captcha.comMedium

Coverage:Global

Available Data5 fields

PriceDescriptionContact InfoCategoriesAttributes

All Extractable Fields

CAPTCHA TypePrice per 1000 SolutionsAverage Solving SpeedFree Capacity per MinuteService UptimeWorker Online CountSupported API Methods

Technical Requirements

JavaScript Required

No Login

No Pagination

Official API Available

Anti-Bot Protection Detected

CloudflareRate LimitingIP Blocking

View API Documentation

About 2Captcha

Learn what 2Captcha offers and what valuable data can be extracted from it.

About 2Captcha

2Captcha is a prominent automated CAPTCHA recognition service that connects developers and businesses with a global workforce of human solvers. The platform specializes in bypassing digital hurdles such as reCAPTCHA (v2/v3/Enterprise), hCaptcha, FunCaptcha, and Cloudflare Turnstile, facilitating automated data collection at scale.

Data Value for Scrapers

For scrapers, the website serves as a critical data source for market intelligence. It hosts public dashboards displaying real-time solving rates, average waiting times, and accuracy statistics across different CAPTCHA types. This data is indispensable for developers who need to estimate the costs and time requirements for large-scale web scraping projects, ensuring their automation pipelines remain cost-effective and efficient.

Operational Intelligence

By monitoring 2Captcha's internal metrics, companies can optimize their automation pipelines. Tracking the "Free Capacity" or "Average Speed" allows for dynamic shifting of workloads to periods of high availability, ensuring that scraping operations remain both resilient and economically viable.

Why Scrape 2Captcha?

Discover the business value and use cases for extracting data from 2Captcha.

Real-Time Price Monitoring

Track fluctuating costs for various CAPTCHA solving types to optimize your automation budget and adjust your bidding strategies accordingly.

Service Speed Benchmarking

Extract average solving times for different services like reCAPTCHA and hCaptcha to identify the most efficient periods for running your own scrapers.

Worker Capacity Planning

Monitor the number of active workers and system load to predict potential delays or throughput limitations in your large-scale data extraction projects.

Competitive Market Intelligence

Analyze 2Captcha's supported methods and updates to stay ahead of market trends in the anti-bot bypass and automation industry.

Historical Cost Auditing

Maintain a long-term database of pricing changes to conduct financial forecasting and audit your operational expenditures over time.

Service Availability Tracking

Scrape status indicators and error rates to build a custom uptime monitor for your automation infrastructure's third-party dependencies.

Scraping Challenges

Technical challenges you may encounter when scraping 2Captcha.

Cloudflare and Turnstile Protection

2Captcha uses the very technologies it solves, such as Cloudflare Turnstile, to protect its own site from automated data extraction.

JavaScript Rendering Requirements

The real-time dashboards and pricing tables are rendered dynamically via JavaScript, making it impossible to scrape with simple HTTP libraries.

Aggressive Rate Limiting

The site monitors request frequency closely and will quickly issue temporary IP bans or 403 Forbidden errors if it detects bot-like behavior.

Login Wall for Deep Analytics

While general pricing is public, more detailed account statistics and historical worker data require authenticated sessions and secure cookie management.

Frequent DOM Mutations

The platform updates its user interface and dashboard layout regularly, which can break brittle scrapers relying on static CSS selectors.

Scrape 2Captcha 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 2Captcha. Just type it in plain language — no coding or selectors needed.

AI Extracts the Data

Our artificial intelligence navigates 2Captcha, 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

Visual Data Selection: Select dynamic pricing elements and worker statistics visually without needing to manually inspect complex, obfuscated code.

Automated Anti-Bot Bypass: Automatio handles Cloudflare challenges and browser fingerprinting out of the box, allowing you to access protected data without extra configuration.

Built-in Proxy Rotation: Easily route your scraping requests through high-quality residential proxies directly within the Automatio workflow to bypass IP-based rate limits.

Persistent Session Handling: Maintain login states and session cookies automatically, enabling you to scrape protected dashboard data without re-authenticating for every run.

Cloud-Based Scheduling: Set your scrapers to run on a schedule to capture solving speed fluctuations every few minutes without keeping your local machine running.

Start Scraping Free

No credit card requiredFree tier availableNo setup needed

No-Code Web Scrapers for 2Captcha

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape 2Captcha. 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

# Target URL for pricing data
url = "https://2captcha.com/pricing"
# Headers to simulate a browser request
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36"}

try:
    # Sending GET request
    response = requests.get(url, headers=headers)
    response.raise_for_status()
    # Parsing HTML content
    soup = BeautifulSoup(response.text, 'html.parser')
    # Locating pricing rows
    rows = soup.select("table.pricing-table tr")
    for row in rows:
        cols = row.find_all("td")
        if cols:
            print(f"Type: {cols[0].get_text(strip=True)} | Price: {cols[1].get_text(strip=True)}")
except Exception as e:
    print(f"Scraping failed: {e}")

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

from playwright.sync_api import sync_playwright

def scrape_2captcha_stats():
    with sync_playwright() as p:
        # Launch headless browser
        browser = p.chromium.launch(headless=True)
        page = browser.new_page()
        # Navigate to statistics page
        page.goto("https://2captcha.com/statistics")
        # Wait for dynamic table to load
        page.wait_for_selector(".stats-table")
        # Extract data using JS execution
        stats = page.evaluate('''() => {
            const data = [];
            const rows = document.querySelectorAll(".stats-table tr");
            rows.forEach(row => {
                const cells = row.querySelectorAll("td");
                if (cells.length > 0) {
                    data.push({ type: cells[0].innerText, speed: cells[1].innerText });
                }
            });
            return data;
        }''')
        print(stats)
        browser.close()

scrape_2captcha_stats()

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 TwoCaptchaSpider(scrapy.Spider):
    name = '2captcha_spider'
    start_urls = ['https://2captcha.com/pricing']

    def parse(self, response):
        # Loop through pricing items in the DOM
        for item in response.css('div.pricing-item'):
            yield {
                'type': item.css('h3::text').get(),
                'price': item.css('span.price::text').get(),
                'description': item.css('p.desc::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 () => {
    // Launch browser instance
    const browser = await puppeteer.launch();
    const page = await browser.newPage();
    // Go to pricing page and wait for content
    await page.goto('https://2captcha.com/pricing', { waitUntil: 'networkidle2' });
    // Evaluate page content
    const results = await page.evaluate(() => {
        const items = Array.from(document.querySelectorAll('.pricing-row'));
        return items.map(item => ({
            title: item.querySelector('.title')?.innerText,
            rate: item.querySelector('.rate')?.innerText
        }));
    });
    console.log(results);
    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 2Captcha with Code

Python + Requests

import requests
from bs4 import BeautifulSoup

# Target URL for pricing data
url = "https://2captcha.com/pricing"
# Headers to simulate a browser request
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36"}

try:
    # Sending GET request
    response = requests.get(url, headers=headers)
    response.raise_for_status()
    # Parsing HTML content
    soup = BeautifulSoup(response.text, 'html.parser')
    # Locating pricing rows
    rows = soup.select("table.pricing-table tr")
    for row in rows:
        cols = row.find_all("td")
        if cols:
            print(f"Type: {cols[0].get_text(strip=True)} | Price: {cols[1].get_text(strip=True)}")
except Exception as e:
    print(f"Scraping failed: {e}")

Python + Playwright

from playwright.sync_api import sync_playwright

def scrape_2captcha_stats():
    with sync_playwright() as p:
        # Launch headless browser
        browser = p.chromium.launch(headless=True)
        page = browser.new_page()
        # Navigate to statistics page
        page.goto("https://2captcha.com/statistics")
        # Wait for dynamic table to load
        page.wait_for_selector(".stats-table")
        # Extract data using JS execution
        stats = page.evaluate('''() => {
            const data = [];
            const rows = document.querySelectorAll(".stats-table tr");
            rows.forEach(row => {
                const cells = row.querySelectorAll("td");
                if (cells.length > 0) {
                    data.push({ type: cells[0].innerText, speed: cells[1].innerText });
                }
            });
            return data;
        }''')
        print(stats)
        browser.close()

scrape_2captcha_stats()

Python + Scrapy

import scrapy

class TwoCaptchaSpider(scrapy.Spider):
    name = '2captcha_spider'
    start_urls = ['https://2captcha.com/pricing']

    def parse(self, response):
        # Loop through pricing items in the DOM
        for item in response.css('div.pricing-item'):
            yield {
                'type': item.css('h3::text').get(),
                'price': item.css('span.price::text').get(),
                'description': item.css('p.desc::text').get()
            }

Node.js + Puppeteer

const puppeteer = require('puppeteer');

(async () => {
    // Launch browser instance
    const browser = await puppeteer.launch();
    const page = await browser.newPage();
    // Go to pricing page and wait for content
    await page.goto('https://2captcha.com/pricing', { waitUntil: 'networkidle2' });
    // Evaluate page content
    const results = await page.evaluate(() => {
        const items = Array.from(document.querySelectorAll('.pricing-row'));
        return items.map(item => ({
            title: item.querySelector('.title')?.innerText,
            rate: item.querySelector('.rate')?.innerText
        }));
    });
    console.log(results);
    await browser.close();
})();

What You Can Do With 2Captcha Data

Explore practical applications and insights from 2Captcha data.

Cost Efficiency Benchmarking

Scraping prices allows businesses to compare 2Captcha against competitors like Anti-Captcha or CapMonster to minimize operational costs.

How to implement:

1Scrape pricing tables from multiple CAPTCHA solving providers daily.
2Store data in a centralized SQL database.
3Generate a cost-per-solve comparison report.
4Automatically switch API providers based on the lowest current rate.

Use Automatio to extract data from 2Captcha 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 2Captcha

Expert advice for successfully extracting data from 2Captcha.

Use Residential Proxies

2Captcha is highly sensitive to datacenter IP ranges; using residential proxies significantly increases your success rate and prevents immediate blocking.

Simulate Human Interactions

Incorporate random wait times, mouse movements, and variable scrolling patterns to evade behavioral detection systems on the dashboard.

Handle Login Cookies Securely

If scraping the user dashboard, ensure your scraper persists cookies across sessions to avoid triggering security alerts caused by frequent new logins.

Monitor Response Headers

Always check for 'X-Cloudflare-Status' or similar headers to identify if your requests are being silently throttled or flagged for verification.

Implement Smart Retry Logic

Configure your scraper to pause and retry after a delay if it encounters a 429 Too Many Requests error to prevent a temporary block from becoming permanent.

Scrape Off-Peak Hours

Target times when global traffic to the solving network is lower to experience faster page loads and less aggressive monitoring from their security team.

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 2Captcha

Find answers to common questions about 2Captcha

How to Scrape 2Captcha: Extract CAPTCHA Solving Rates and Pricing Stats

About 2Captcha

About 2Captcha

Data Value for Scrapers

Operational Intelligence

Why Scrape 2Captcha?

Real-Time Price Monitoring

Service Speed Benchmarking

Worker Capacity Planning

Competitive Market Intelligence

Historical Cost Auditing

Service Availability Tracking

Scraping Challenges

Cloudflare and Turnstile Protection

JavaScript Rendering Requirements

Aggressive Rate Limiting

Login Wall for Deep Analytics

Frequent DOM Mutations

Scrape 2Captcha 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 2Captcha

Typical Workflow with No-Code Tools

Common Challenges

No-Code Web Scrapers for 2Captcha

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

How to Scrape 2Captcha with Code

Python + Requests

Python + Playwright

Python + Scrapy

Node.js + Puppeteer

What You Can Do With 2Captcha Data

Cost Efficiency Benchmarking

Service Uptime and Speed Monitoring

Lead Generation for Proxy Services

Competitive Market Analysis

Load Balancing for Scraping Pipelines

What You Can Do With 2Captcha Data

Supercharge your workflow with AI Automation

Pro Tips for Scraping 2Captcha

Use Residential Proxies

Simulate Human Interactions

Handle Login Cookies Securely

Monitor Response Headers

Implement Smart Retry Logic

Scrape Off-Peak Hours

What Our Users Say

Related Web Scraping

How to Scrape GitHub | The Ultimate 2025 Technical Guide

How to Scrape Britannica: Educational Data Web Scraper

How to Scrape RethinkEd: A Technical Data Extraction Guide

How to Scrape Worldometers for Real-Time Global Statistics

How to Scrape Wikipedia: The Ultimate Web Scraping Guide

How to Scrape Pollen.com: Local Allergy Data Extraction Guide

How to Scrape Weather.com: A Guide to Weather Data Extraction

How to Scrape American Museum of Natural History (AMNH)

Frequently Asked Questions About 2Captcha

Is it legal to scrape 2Captcha?

Does 2Captcha have an official API for statistics?

How do I avoid getting blocked by 2Captcha?

What format is the scraped data available in?

How often should I scrape 2Captcha for pricing and speed stats?

Which proxies work best for 2Captcha scraping?

Do I need to be logged in to scrape 2Captcha data?

Can I scrape 2Captcha using a headless browser?