Features
Single-query website scraping (crawl entire sites)
Markdown-structured output optimized for RAG and LLM training
AI-powered JSON extraction using GPT-4o with custom schemas
Authentication support for scraping gated content (login required)
Automated retries on failed requests
Multi-page crawling with depth control
URL filtering with inclusion/exclusion patterns
Multiple output formats: Markdown, JSON, TXT, HTML
AI JSON schema generation (nested objects, arrays)
Job status monitoring and real-time updates
CAPTCHA handling in authenticated scraping
Zero-trust secure credential storage
Credits-based pricing: 1 credit per standard URL, 15 credits for AI-enhanced scraping
Concurrent request scaling from 1 to 50 across tiers
Live demo preview on website
High-fidelity synthetic data generation via TabularARGN
Agentic data science automation for training/sampling
Natural language AI Assistant executing Python code
Mock data generation for safe experimentation and testing
Simulated data for edge-case and what-if modeling
Multi-table synthesis with referential integrity
Time-series support and data rebalancing
Differential privacy with temperature control
Deployment on Kubernetes or Red Hat OpenShift
Open-source Synthetic Data SDK under Apache v2 license
Data connectors for Databricks, AWS, Snowflake, BigQuery
Real-time data access from production systems (e.g., Databricks)
Star schema and nested sequences support
REST API and Python Client for programmatic access
Conditional simulation and seeded generation
