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.

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

Anti-Bot Protection Detected

Cloudflare
Enterprise-grade WAF and bot management. Uses JavaScript challenges, CAPTCHAs, and behavioral analysis. Requires browser automation with stealth settings.
Rate Limiting
Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
IP Blocking
Blocks known datacenter IPs and flagged addresses. Requires residential or mobile proxies to circumvent effectively.

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.

About 2Captcha

Why Scrape 2Captcha?

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

Cost Efficiency Benchmarking

Monitor the going rate for CAPTCHA solving to stay competitive.

Performance Monitoring

Track real-time solving speeds to identify the best times to run heavy scraping jobs.

Competitive Intelligence

Compare 2Captcha's rates and speeds against competitors like Anti-Captcha or CapMonster.

Lead Generation for Proxies

Identify regions with high worker demand to target residential proxy sales.

Scraping Challenges

Technical challenges you may encounter when scraping 2Captcha.

Dynamic Content

Key statistics on the dashboard are updated via JavaScript, requiring a headless browser.

Anti-Bot Protection

Utilizes Cloudflare Turnstile and aggressive rate limiting on its public pages.

Structural Changes

The platform frequently updates its UI, which can lead to brittle CSS selectors.

Scrape 2Captcha with AI

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

How It Works

1

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.

2

AI Extracts the Data

Our artificial intelligence navigates 2Captcha, handles dynamic content, and extracts exactly what you asked for.

3

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 Extraction: Capture complex pricing tables without writing Python or Node.js scripts.
Automatic Bypass: Automatio natively handles anti-bot measures like Cloudflare Turnstile during the scraping process.
Scheduled Runs: Set your scraper to run every hour to track real-time changes in solving capacity.
Direct Export: Seamlessly sync extracted data to Google Sheets, CSV, or a custom API.
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape 2Captcha without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.

How to scrape with AI:
  1. 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.
  2. AI Extracts the Data: Our artificial intelligence navigates 2Captcha, handles dynamic content, and extracts exactly what you asked for.
  3. 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 Extraction: Capture complex pricing tables without writing Python or Node.js scripts.
  • Automatic Bypass: Automatio natively handles anti-bot measures like Cloudflare Turnstile during the scraping process.
  • Scheduled Runs: Set your scraper to run every hour to track real-time changes in solving capacity.
  • Direct Export: Seamlessly sync extracted data to Google Sheets, CSV, or a custom API.

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

1
Install browser extension or sign up for the platform
2
Navigate to the target website and open the tool
3
Point-and-click to select data elements you want to extract
4
Configure CSS selectors for each data field
5
Set up pagination rules to scrape multiple pages
6
Handle CAPTCHAs (often requires manual solving)
7
Configure scheduling for automated runs
8
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

No-Code Web Scrapers for 2Captcha

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
  1. Install browser extension or sign up for the platform
  2. Navigate to the target website and open the tool
  3. Point-and-click to select data elements you want to extract
  4. Configure CSS selectors for each data field
  5. Set up pagination rules to scrape multiple pages
  6. Handle CAPTCHAs (often requires manual solving)
  7. Configure scheduling for automated runs
  8. 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

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:

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

Use Automatio to extract data from 2Captcha and build these applications without writing code.

What You Can Do With 2Captcha Data

  • Cost Efficiency Benchmarking

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

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

    By scraping solving speed statistics, developers can determine the best times of day to run large-scale scraping jobs.

    1. Extract the 'Average Waiting Time' for reCAPTCHA v2 every 15 minutes.
    2. Plot historical speed data to identify peak congestion hours.
    3. Configure your scraper to pause during high-latency periods.
  • Lead Generation for Proxy Services

    Proxy providers can use 2Captcha worker trends to identify regions with high demand for residential IPs.

    1. Scrape worker count data by geographic region if available.
    2. Analyze which regions are under-represented.
    3. Target marketing efforts for proxy sales in those specific regions.
  • Competitive Market Analysis

    Market researchers use feature availability data to track the rollout of new CAPTCHA solving capabilities across the industry.

    1. Monitor the 'Supported API Methods' list on 2Captcha.
    2. Compare supported CAPTCHA types against competitor service lists.
    3. Identify gaps in the market where new solving technologies are needed.
  • Load Balancing for Scraping Pipelines

    High-volume data aggregators use capacity metrics to distribute their CAPTCHA requests across different providers.

    1. Fetch the 'Free Capacity per Minute' metric in real-time.
    2. Implement a threshold-based load balancer in your scraping logic.
    3. Redirect traffic to 2Captcha only when capacity is above 50% to ensure stability.
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.

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Pro Tips for Scraping 2Captcha

Expert advice for successfully extracting data from 2Captcha.

Use Residential Proxies

To avoid detection from 2Captcha's own anti-bot systems, use high-quality residential IPs.

Throttling

Implement a delay of at least 2-5 seconds between requests as they monitor frequency.

Monitor 403 Errors

Catch 403 Forbidden specifically as it indicates IP flagging by Cloudflare.

Rotate User-Agents

Ensure you use a diverse set of modern browser strings to prevent fingerprint-based blocking.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

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

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

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

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

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

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

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

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

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

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

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

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.

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Frequently Asked Questions About 2Captcha

Find answers to common questions about 2Captcha