
Trino
Fast distributed SQL query engine for big data analytics.

The autonomous AI web agent for reliable, structured data extraction at scale.

Kirby, developed by Kadoa, represents the 2026 standard for autonomous web navigation and data extraction. Unlike traditional scraping tools that rely on fragile CSS selectors or XPaths, Kirby utilizes a multi-modal LLM architecture to 'perceive' web pages visually and semantically, much like a human operator. This allows it to handle dynamic content, complex JavaScript-heavy SPAs, and sophisticated anti-bot measures without manual configuration. Its core engine is self-healing; when a website's layout changes, the AI re-maps the data points automatically, ensuring pipeline continuity. For 2026, Kirby has evolved into a full-scale browser agent capable of performing multi-step workflows—such as logging into portals, solving CAPTCHAs, and navigating through multi-page checkout or search flows—to retrieve deeply nested data. The technical architecture is built on a distributed headless browser cluster with integrated residential proxy rotation and behavioral simulation to evade detection. Positioned as a mission-critical tool for data-driven enterprises, Kirby bridges the gap between raw web content and structured, LLM-ready datasets, offering native integrations with modern data stacks like Snowflake, BigQuery, and vector databases for RAG applications.
Kirby, developed by Kadoa, represents the 2026 standard for autonomous web navigation and data extraction.
Explore all tools that specialize in no-code scraping. This domain focus ensures Kirby (by Kadoa) delivers optimized results for this specific requirement.
Uses LLM embeddings to identify data fields based on context rather than DOM structure.
Integrated computer vision models to solve hCaptcha, reCAPTCHA, and FunCaptcha in real-time.
Simulates human mouse movements and scrolling patterns to bypass behavioral detection.
Fully managed headless Chrome instances that execute complex JS before extraction.
Analyzes a page and automatically suggests a structured JSON schema based on the visible content.
Automatic rotation through millions of residential and mobile IPs in 150+ countries.
Monitors target sites for data changes and triggers webhooks only when specific deltas are found.
Sign up for a Kadoa account and access the Kirby agent dashboard.
Enter the target URL or a list of URLs to be processed.
Define the data schema using natural language (e.g., 'Extract product name, price, and stock status').
Configure browser settings including geo-proxy location and device emulation.
Run a 'Kirby Preview' to visualize the agent's navigation path and data selection.
Refine extraction logic using the point-and-click visual editor if necessary.
Set up authentication parameters for gated content or private portals.
Configure the delivery destination (e.g., Google Sheets, API endpoint, or S3 bucket).
Schedule the extraction frequency (hourly, daily, or real-time triggers).
Deploy the workflow and monitor performance through the Kirby health dashboard.
All Set
Ready to go
Verified feedback from other users.
"Users praise Kirby for its 'set it and forget it' reliability and its ability to handle sites that other scrapers fail on."
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