How to Build a Database from Any Website: Testing the Open-Source CyberYozh Data Scraper

In this video, we explore CyberYozh Data Scraper — an open-source tool for automated data collection, web crawling, and in-depth analysis of website structures.
We’ll show you how to deploy the tool locally, configure data collection, and use it for practical tasks — from basic content scraping to exploring website structures for OSINT, Bug Bounty, and authorized security testing.

In this video:
• Scraping vs. Crawling We’ll explain the difference between automated content extraction and crawling — discovering pages and links using web crawlers.
• Working with Proxies Learn why rotating and mobile proxies are commonly used for large-scale data collection and how they help maintain stable request flows.
• Docker Deployment We’ll walk through the process of deploying CyberYozh Data Scraper using Docker and docker-compose.
• Visual Interface We’ll launch a local Node.js server on localhost:7000 and test the GUI for managing scraping and crawling tasks.
• Deep Crawling We’ll explore Scope Mode, website structure discovery, and working with accessible subdomains within the defined research scope.
• CLI Workflow We’ll demonstrate how to work directly with cURL requests — creating jobs, retrieving Job IDs, and accessing scraping results.
By the end of the video, you’ll have a solid understanding of modern scraping and crawling workflows and will be able to deploy CyberYozh Data Scraper to collect and structure publicly available data.

Disclaimer
This material is intended solely for educational purposes, automated collection of publicly available data, OSINT, and authorized security testing. Only use these tools on resources you are legally permitted to access and test, and always comply with applicable laws and platform policies.

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