AgentQL helps make the web “AI-ready” by connecting LLMs and AI agents to data from virtually any website using natural-language queries.
What AgentQL does
Instead of writing and maintaining complex scraping code, you describe the data you need from a web page in plain text. AgentQL returns structured JSON you can use directly in agents, backends, or automation workflows.
Common use cases
AgentQL is useful anywhere you need to collect and refresh web data reliably, including:
- E-commerce product and pricing data
- Job boards and listings aggregation
- Social media and public web content monitoring
- Ongoing data updates for internal tools and dashboards
Integrations and usage
AgentQL is designed to work well with popular LLMs and AI agent frameworks. You can integrate it into an existing stack using documentation and ready-made query examples to speed up development and improve automation accuracy.
