Overview
Universal Scraper AI – Multi-User SaaS Platform
Universal Scraper AI is a full-stack web scraping platform designed for developers, businesses, and entrepreneurs who want to build an AI-powered data extraction service.
The platform combines a Python Flask backend, a React frontend, and Playwright browser automation. It includes specialized scrapers for Shopify, WooCommerce, and Salla, alongside an AI-powered extraction engine designed to work with different websites.
AI-Powered Data Extraction
Connect supported AI providers, including OpenAI, Google Gemini, Anthropic, and Groq, to help interpret website structures and extract relevant information. A visual selector and no-code field mapping interface provide another way to configure extraction tasks.
Automation and Data Monitoring
Create scraping workflows, run background tasks using Celery and Redis, and monitor product prices for changes. Proxy management and CAPTCHA-solving integrations are also listed among the platform's capabilities.
SaaS and Subscription Management
The platform includes user registration, account management, two-factor authentication, subscription plans, and admin dashboards. Stripe and PayPal integrations support subscription-related payment workflows.
Exports and Integrations
Export collected data in JSON, CSV, Excel, and Markdown formats. The platform also lists Google Sheets integration, WooCommerce syncing, a REST API, webhooks, and Telegram bot functionality.
Deployment and Customization
Customize branding through the white-label admin panel, manage site metadata, and configure the platform using its installation wizard. Docker Compose support and multilingual functionality, including English and Arabic, are also listed.
Universal Scraper AI is intended for users who want a customizable starting point for a web scraping SaaS. Review the vendor's documentation, infrastructure requirements, API costs, and third-party service dependencies before deployment.
Features
AI-powered extraction using supported OpenAI, Gemini, Anthropic, and Groq integrations
Specialized scrapers for Shopify, WooCommerce, and Salla
Playwright browser automation with stealth-related features
Visual selector and no-code data field mapping
Multi-step scraping workflows with conditional logic
Price monitoring and change alerts
Background job processing with Celery and Redis
Proxy rotation and CAPTCHA-solving service integrations
Multi-user registration and account management
Two-factor authentication using OTP/QR
Subscription plans with configurable usage limits
Stripe and PayPal subscription integrations
White-label branding and admin dashboard
REST API and webhook support
JSON, CSV, Excel, and Markdown exports
Google Sheets integration and WooCommerce syncing
Telegram bot integration for task alerts and control
Multilingual support, including English and Arabic
Installation wizard and Docker Compose support
Requirements
Python 3.10 or higher
Node.js 18 LTS or higher
Minimum 4 GB RAM; 8 GB recommended for production
SQLite for development or PostgreSQL/MySQL for production
Redis server for Celery background tasks
Linux server, preferably Ubuntu, or a compatible Windows environment
Playwright with Chromium installed
Python dependencies installed from requirements.txt
Frontend dependencies installed using npm
API keys for the AI providers you intend to use
Environment configuration, including database connection details
Stripe and/or PayPal configuration if using subscription payments
Additional setup for Docker deployment, proxies, and external CAPTCHA-solving services as required
Other items by this author
| Category | Scripts & Code / Python |
| First release | 13 October 2026 |
| Last update | 13 October 2026 |
| Files included | Documentation |
| Tags | AI web scraper , universal scraper , Python scraper , web scraping SaaS , data extraction , web crawler , Playwright automation , product scraper , Shopify scraper , WooCommerce scraper , Salla scraper , visual scraper , no-code scraping , price monitoring , data mining , scraper API , Celery , Redis , Google Sheets integration , CSV export |







