Start scraping any website in under 5 minutes. ZenRows handles anti-bot measures, JavaScript rendering, and proxy management automatically, so you can focus on collecting data instead of managing infrastructure.

Quick Setup

1

Create Your Account

Visit the Registration Page and sign up using Google, GitHub, or your email address. Account creation is free and provides immediate access to your dashboard.zenrows-signup-page
2

Complete Onboarding

Select options that match your use case during the setup process. This helps ZenRows recommend the most suitable features for your scraping needs
3

Get Your API Key

Get your API key from the dashboard and start your first request immediately. This key authenticates all your requests and tracks usage against your plan limits. Keep this key secure and never share it publicly.

Your First Request

Test your ZenRows setup with this simple request:
## pip install requests
import requests

url = 'https://httpbin.io/anything'
apikey = 'YOUR_ZENROWS_API_KEY'
params = {
    'url': url,
    'apikey': apikey,
}
response = requests.get('https://api.zenrows.com/v1/', params=params)
print(response.text)
Replace YOUR_ZENROWS_API_KEY with your actual API key from the dashboard. A successful response confirms your setup is working correctly.

Next Steps

Choose your ZenRows solution

Select the approach that best fits your scraping requirements and technical expertise:

Platform Integrations

Best for: No-code solutions and workflow automation
Check our Product Documentation to compare features and find the best fit for your use case, or review our Pricing Guide to select the right plan.

Learn web scraping fundamentals

Build your knowledge with comprehensive guides and best practices:

Scale your operations

As your scraping needs grow, explore advanced features and optimization strategies:
  • Concurrent requests: Optimize performance by running multiple requests simultaneously
  • Data storage: Choose appropriate databases and storage solutions for your collected data
  • Automation: Set up scheduled scraping jobs for regular data collection
  • Data processing: Implement pipelines for cleaning, validating, and analyzing scraped data
  • Monitoring: Track success rates, identify patterns, and optimize your scraping strategy

Get help when you need it

Access support resources and community knowledge:
  • FAQs - Find answers to common questions about API limits, billing, and technical issues
  • Troubleshooting Guides - Resolve specific problems with blocked requests, parsing errors, and configuration issues
  • Support - Contact our team for personalized assistance with complex scraping challenges
  • Community - Join our Discord server to connect with other developers and share scraping strategies
  • Documentation - Explore detailed guides for advanced features and specific use cases

Why Choose ZenRows?

ZenRows solves the most challenging aspects of web scraping through automated solutions: Anti-bot bypass & proxy rotation: Detects and bypasses Cloudflare, reCAPTCHA, Akamai, Datadome, and other blocking mechanisms. Automatically switches between residential IPs across 190+ countries while rotating browser fingerprints to maintain access. JavaScript rendering: Uses real browser engines to handle dynamic content, infinite scroll, and lazy-loaded elements that traditional HTTP requests cannot capture. Adaptive infrastructure: Includes automatic retry mechanisms when requests fail, real-time analytics for monitoring performance, and maintains 99.9% uptime. Auto-parsing features: Adapts automatically to structural changes on supported websites, reducing maintenance overhead. You can start scraping immediately without technical expertise in proxy management or anti-detection techniques.

Common Scraping Challenges

If you’re new to web scraping, understanding these common challenges helps explain why ZenRows provides value and how it solves problems you might encounter with traditional scraping approaches: scraping-issues-infographic

Anti-Bot Measures

Websites deploy various blocking mechanisms to prevent scraping, such as:
  • Web application firewalls (e.g., Cloudflare, Datadome, Akamai).
  • CAPTCHA services that require solving puzzles to verify human activity.
  • Rate limiting restricts the number of requests from a single IP address within a given time.
cloudflare_blocked_page_sample Overcoming these measures often requires advanced techniques like CAPTCHA-solving services, IP rotation, and adapting to specific firewall rules.

JavaScript Rendering

Many modern websites dynamically render content using JavaScript, which prevents data from loading immediately when the page is opened. For example:
  • Dynamic content that appears only after JavaScript execution completes.
  • Infinite scrolling websites only display initial content, loading more as users scroll.
  • “Load more” buttons that reveal additional content through user interaction.
Traditional HTTP requests cannot capture this dynamically generated content. scrapingcourse_infinite_scrolling_page

HTML Structural Changes

Websites frequently update page designs, layouts, and HTML structures to introduce new features or improve user experience. These changes often include:
  • Modifications to CSS selectors or HTML attribute names.
  • Adjustments to the overall structure of the page.
Such updates can render previously working scrapers ineffective, requiring constant monitoring and updates to your scraping logic. Scraping activities must comply with legal and ethical guidelines:
  • Website terms of service that prohibit scraping certain types of data, especially sensitive or restricted information.
  • Data behind login walls or private details is often protected by law and requires explicit authorization to access.
  • Adhering to rules specified in a site’s robots.txt file, which defines areas where bots are not allowed.

Frequently Asked Questions (FAQ)