How to Scrape Toptal | Toptal Web Scraper Guide

Extract elite freelancer profiles, verified skills, and career histories from Toptal. Learn to bypass anti-bot measures to gather high-quality talent data.

Coverage:GlobalUnited StatesUnited KingdomEuropean UnionCanadaAustralia
Available Data8 fields
TitleLocationDescriptionImagesSeller InfoPosting DateCategoriesAttributes
All Extractable Fields
Freelancer NameProfessional RoleVerified Expertise TagsDetailed BioTechnical SkillsEmployment HistoryEducation DetailsPortfolio ProjectsYears of ExperienceProfile Image URLLocationCategory Tags
Technical Requirements
JavaScript Required
Login Required
Has Pagination
No Official API
Anti-Bot Protection Detected
CloudflareRate LimitingFingerprintingJavaScript ChallengesBot Detection

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.
Browser Fingerprinting
Identifies bots through browser characteristics: canvas, WebGL, fonts, plugins. Requires spoofing or real browser profiles.
JavaScript Challenge
Requires executing JavaScript to access content. Simple requests fail; need headless browser like Playwright or Puppeteer.
Bot Detection

About Toptal

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

Toptal is an exclusive, remote-first network that connects businesses with the top 3% of freelance software developers, designers, finance experts, and product managers worldwide. Unlike general marketplaces, Toptal utilizes a rigorous screening process to ensure only elite professionals are admitted.

The website hosts a comprehensive directory of high-value professional profiles, including detailed career histories, specialized skills, and verified expertise tags. For organizations looking to perform deep market analysis or benchmark professional standards, Toptal offers a goldmine of structured, high-quality data.

Scraping Toptal is particularly valuable for identifying emerging skill trends and understanding the qualifications required for top-tier technical roles. Because the talent pool is expertly vetted, the data extracted is significantly more reliable and detailed than that found on generic job boards.

About Toptal

Why Scrape Toptal?

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

Analyze the most in-demand skills among the global top 3% of tech talent.

Perform competitive benchmarking for senior-level engineering and design roles.

Monitor geographic talent distribution to identify emerging tech hubs.

Gather clean, high-quality datasets for training recruitment AI models.

Compare educational backgrounds and certifications across different expert categories.

Benchmark professional requirements for elite consulting services.

Scraping Challenges

Technical challenges you may encounter when scraping Toptal.

Sophisticated Cloudflare protection that triggers on non-browser headers.

Heavy reliance on JavaScript rendering to display profile content.

Aggressive rate limiting that blocks IPs after minimal suspicious requests.

Data access restrictions that require user authentication for full profile viewing.

Dynamic CSS classes that change frequently to prevent static selector usage.

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

2

AI Extracts the Data

Our artificial intelligence navigates Toptal, 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 allows non-technical recruiters to gather talent data easily.
Handles complex JavaScript-rendered profiles automatically without extra setup.
Built-in proxy rotation and fingerprinting management to bypass Cloudflare.
Automated scheduling enables regular updates of skill and talent trends.
Direct data piping to Google Sheets or CRMs for recruitment workflows.
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape Toptal 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 Toptal. Just type it in plain language — no coding or selectors needed.
  2. AI Extracts the Data: Our artificial intelligence navigates Toptal, 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 allows non-technical recruiters to gather talent data easily.
  • Handles complex JavaScript-rendered profiles automatically without extra setup.
  • Built-in proxy rotation and fingerprinting management to bypass Cloudflare.
  • Automated scheduling enables regular updates of skill and talent trends.
  • Direct data piping to Google Sheets or CRMs for recruitment workflows.

No-Code Web Scrapers for Toptal

Point-and-click alternatives to AI-powered scraping

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

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

# Headers are crucial to mimic a real browser to avoid instant Cloudflare blocks
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',
    'Accept-Language': 'en-US,en;q=0.9'
}

url = 'https://www.toptal.com/developers/all'

try:
    # Sending request with headers
    response = requests.get(url, headers=headers)
    response.raise_for_status()
    
    soup = BeautifulSoup(response.text, 'html.parser')
    
    # Toptal uses dynamic classes, but we look for common talent containers
    talents = soup.select('.talent-card')
    
    for talent in talents:
        name = talent.select_one('.talent-name').text.strip() if talent.select_one('.talent-name') else 'N/A'
        role = talent.select_one('.talent-title').text.strip() if talent.select_one('.talent-title') else 'N/A'
        print(f'Expert: {name} - Role: {role}')

except requests.exceptions.RequestException as e:
    print(f'Error scraping Toptal: {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 Toptal with Code

Python + Requests
import requests
from bs4 import BeautifulSoup

# Headers are crucial to mimic a real browser to avoid instant Cloudflare blocks
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',
    'Accept-Language': 'en-US,en;q=0.9'
}

url = 'https://www.toptal.com/developers/all'

try:
    # Sending request with headers
    response = requests.get(url, headers=headers)
    response.raise_for_status()
    
    soup = BeautifulSoup(response.text, 'html.parser')
    
    # Toptal uses dynamic classes, but we look for common talent containers
    talents = soup.select('.talent-card')
    
    for talent in talents:
        name = talent.select_one('.talent-name').text.strip() if talent.select_one('.talent-name') else 'N/A'
        role = talent.select_one('.talent-title').text.strip() if talent.select_one('.talent-title') else 'N/A'
        print(f'Expert: {name} - Role: {role}')

except requests.exceptions.RequestException as e:
    print(f'Error scraping Toptal: {e}')
Python + Playwright
import asyncio
from playwright.async_api import async_playwright

async def scrape_toptal():
    async with async_playwright() as p:
        # Launching a headed or headless browser with stealth settings
        browser = await p.chromium.launch(headless=True)
        context = await browser.new_context(user_agent='Mozilla/5.0')
        page = await context.new_page()
        
        # Navigate to a specific talent category
        await page.goto('https://www.toptal.com/developers/python', wait_until='networkidle')
        
        # Wait for the talent cards to render via JavaScript
        await page.wait_for_selector('.talent-card')
        
        # Extract details
        talents = await page.query_selector_all('.talent-card')
        for talent in talents:
            name_el = await talent.query_selector('.talent-name')
            name = await name_el.inner_text() if name_el else 'Unknown'
            print(f'Freelancer: {name}')
            
        await browser.close()

asyncio.run(scrape_toptal())
Python + Scrapy
import scrapy

class ToptalSpider(scrapy.Spider):
    name = 'toptal_spider'
    start_urls = ['https://www.toptal.com/designers/all']
    
    # Recommended: Use a Middleware for rotating user agents and handling Cloudflare
    custom_settings = {
        'USER_AGENT': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/110.0.0.0 Safari/537.36',
        'CONCURRENT_REQUESTS': 1,
        'DOWNLOAD_DELAY': 3
    }

    def parse(self, response):
        # Loop through cards using CSS selectors
        for talent in response.css('.talent-card'):
            yield {
                'name': talent.css('.talent-name::text').get().strip(),
                'title': talent.css('.talent-title::text').get().strip(),
                'skills': talent.css('.skill-tag::text').getall()
            }
            
        # Handle pagination (if 'Load More' is visible as a link)
        next_page = response.css('a.next-page::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)
Node.js + Puppeteer
const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();
  
  // Mimic a real user
  await page.setUserAgent('Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36');
  
  await page.goto('https://www.toptal.com/product-managers', { waitUntil: 'networkidle2' });

  const data = await page.evaluate(() => {
    const cards = document.querySelectorAll('.talent-card');
    return Array.from(cards).map(card => ({
      name: card.querySelector('.talent-name')?.innerText,
      location: card.querySelector('.location')?.innerText
    }));
  });

  console.log(data);
  await browser.close();
})();

What You Can Do With Toptal Data

Explore practical applications and insights from Toptal data.

Elite Talent Benchmarking

Recruitment agencies can analyze Toptal profiles to define the gold standard for specific technical roles.

How to implement:

  1. 1Extract profiles of top-rated experts in a niche like 'DevOps'.
  2. 2Identify the most common certifications and years of experience.
  3. 3Create a competency matrix to evaluate other candidates in the market.

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

What You Can Do With Toptal Data

  • Elite Talent Benchmarking

    Recruitment agencies can analyze Toptal profiles to define the gold standard for specific technical roles.

    1. Extract profiles of top-rated experts in a niche like 'DevOps'.
    2. Identify the most common certifications and years of experience.
    3. Create a competency matrix to evaluate other candidates in the market.
  • Skill Trend Analysis

    Tech training providers can identify which emerging technologies the top 3% of experts are adopting.

    1. Scrape skill tags from the profiles of recently joined freelancers.
    2. Compare the frequency of these tags against historical data to find growth trends.
    3. Adjust educational curriculum to focus on these high-value, high-demand skills.
  • Global Labor Market Research

    Economists and businesses can study the geographic distribution of high-end freelance labor.

    1. Extract location data and specialization tags from thousands of profiles.
    2. Map the density of specific skills (e.g., AI Engineering) across different countries.
    3. Identify regions with an untapped supply of elite remote talent for expansion.
  • Competitive Talent Mapping

    Companies can identify where the best developers are coming from (previous companies).

    1. Scrape the employment history section of public Toptal profiles.
    2. Aggregate the data to see which Fortune 500 companies lose talent to the freelance pool.
    3. Use these insights for targeted outbound recruiting strategies.
  • Freelance SEO Optimization

    Freelancers can use data from successful Toptal profiles to optimize their own professional presence.

    1. Scrape bios and project descriptions from highly visible profiles.
    2. Analyze the keywords and structure used in these descriptions.
    3. Optimize personal LinkedIn or portfolio sites using similar high-conversion language.
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

Pro Tips for Scraping Toptal

Expert advice for successfully extracting data from Toptal.

Use high-quality residential proxies specifically for the target region to avoid IP-based verification triggers.

Implement random delays (between 5-15 seconds) between page navigations to simulate human reading time.

Focus on scraping specific skill-based subdirectories rather than the global directory to reduce the amount of data needed per session.

Regularly update your CSS selectors, as Toptal periodically updates its frontend framework which changes element identifiers.

If you encounter a Cloudflare challenge, use a solver service or a browser automation tool that supports stealth extensions.

Scrape during low-traffic periods for your local timezone to minimize detection probability.

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.

Related Web Scraping

Frequently Asked Questions About Toptal

Find answers to common questions about Toptal