About
What is AgentQL?
AgentQL is an advanced web scraping and automation platform designed to make the web AI-ready. It enables users to build AI agents that can interact with web data and perform precise automation using natural language queries. The platform features a powerful query language and parser for quickly and accurately extracting data, even from dynamic web pages. AgentQL offers versatile SDKs for Python and JavaScript, integrating with Playwright for interacting with web page elements. A browser-based debugger helps optimize queries in real-time, and its AI-powered analysis provides a robust alternative to fragile XPath and DOM/CSS selectors, ensuring consistent results despite page changes. It also supports PDF parsing and offers a REST API for data retrieval without a browser.
Best used for
Ideal for developers and data scientists who need to extract structured data from any website, automate complex web interactions, and integrate web data into AI agents. Especially valuable for those seeking a robust, self-healing solution that overcomes the fragility of traditional web selectors and handles dynamic content.
Common actions
data extraction AIweb data extractionweb scraping AI
Capabilities
Key features
- Natural language queries
- AI-powered page analysis
- Python/JavaScript SDKs
- Browser-based debugger
- REST API
- PDF parsing
- Self-healing queries
Target Audience
developerdata scientistproduct managerstartup founder
Integrations
discordgithubzapierlangchainllama-indexdify
Pricing & Plans
Freemium ยท Paid ยท Enterprise ยท Usage-based
FAQs
What are the limitations of AgentQL's free tier?
The free tier includes 300 API calls, 10 API calls per minute, 1 hour of remote browser usage, and 1 concurrent remote browser session. It also provides community and email support, along with full access to developer tools.
How does AgentQL handle dynamic web content and page changes?
AgentQL uses AI to analyze a page's structure, making its queries self-healing and robust. This allows it to find the data you're looking for and provide consistent results even when content is dynamic or page structures change, unlike fragile XPath or CSS selectors.
Can AgentQL extract data from behind authentication or from private pages?
Yes, AgentQL is designed to work on any page, whether public or private, and can even extract data from sites that require authentication. This flexibility allows for comprehensive data collection across various web environments.