AgentQL
AI-driven tool for robust data extraction and web automation.. [Freemium]
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What is AgentQL?
AgentQL is a suite of tools that connects large language models and AI agents directly to the web by letting you query live web pages and documents using a natural‑language‑style query language. It parses HTML, publicly accessible URLs, raw HTML snapshots, and PDFs to return structured JSON data that fits predefined schemas, making it especially useful for AI‑driven data workflows and automation. The product includes a REST API, Python and JavaScript SDKs, Playwright‑based page‑interaction tools, a browser‑based debugger, and self‑healing selectors that adapt to UI changes over time.
Key features include a query language that finds elements by content and intent instead of fragile XPath or CSS selectors, the ability to run authenticated sessions and scrape behind login walls, and support for both real‑time browser sessions and browserless API calls. Developers can define exactly which fields to extract (such as product prices, user comments, or table rows) and receive them in a consistent JSON format, which integrates smoothly into agents, pipelines, or backend services. AgentQL also offers PDF and image parsing (via REST or SDKs) and built‑in debugging tools like a browser extension that lets you refine queries directly on live pages.
AgentQL is designed for AI engineers, data‑pipeline builders, and automation developers who want to connect LLMs and agents to web data without hand‑rolling brittle scrapers. It suits use cases like populating knowledge bases, monitoring public sites, extracting structured records from documents, and feeding web‑sourced data into RAG systems or decision‑making agents. The tool is language‑agnostic in practice (via its REST API) and is marketed as a robust, scalable layer between agents and the messy reality of the modern web.
AgentQL pricing
Pricing model: Freemium
AgentQL offers a free tier that includes 300 free API calls, 10 API calls per minute, 1 hour of remote browser time, 1 concurrent remote browser session, community and email support, plus full access to developer tools, with no credit card required. The Starter plan is $0 per month, provides 50 free API calls per month, then $0.02 per extra API call, 10 calls per minute, 10 hours of remote browser included, $0.12 per extra hour of remote browser, 5 concurrent remote browser sessions, community and email support, and full developer‑tool access. The Professional plan is $99 per month and includes 10,000 API calls per month, $0.015 per extra call, 50 calls per minute, 500 hours of remote browser included, $0.10 per extra hour, 100 concurrent remote browser sessions, priority email support, community support, and full developer tools. The Enterprise tier is custom‑priced and offers fully managed solutions, dedicated cloud environments, on‑premise deployment options, 24/7 premium support, dedicated account management, and ready‑to‑use datasets.
AgentQL pros
- Natural‑language‑style queries instead of XPath
- Self‑healing selectors that adapt to UI changes
- Structured JSON output from arbitrary web pages
- Supports both public and authenticated pages
- Works without a browser via REST API
- Playwright integrations for browser automation
- Python and JavaScript SDKs
- Browser‑based debugger extension
- Reusable queries across similar pages
- Robust against dynamic content and layout changes
- Structured data definition inside queries
- PDF and difficult‑table parsing
- Remote browser sessions for complex interactions
- Rate‑limited but generous free trial
- Starter plan with no monthly fee
- Developer‑focused documentation and examples
- REST API accepts raw HTML for crawled or firewalled content
- Built‑in screenshot support for debugging scrapes
AgentQL cons
- Requires API key and account setup
- Limited free‑tier scale for heavy production
- Pricing per API call and per remote‑browser hour can add up
- Some advanced features limited to Professional/Enterprise
- Learning curve for the AgentQL query syntax
- REST API not always free for heavy usage
- Browser‑based sessions consume included hours
- No explicit mention of guaranteed SLA on lower tiers
- May require additional tooling for large‑scale crawling infra
Frequently asked questions about AgentQL
What is AgentQL and what does it do?
AgentQL is a suite of tools that lets developers and AI agents query live web pages and documents using an AI‑powered, natural‑language‑style query language. It parses HTML, URLs, raw HTML snapshots, and PDFs to return structured JSON data that matches a predefined schema, enabling robust data extraction and web automation without writing traditional XPath or DOM selectors.
How does AgentQL differ from normal XPath or CSS selectors?
AgentQL uses AI to analyze the page’s structure and content, so you can select elements by intent or label rather than by brittle DOM paths. This makes queries more resilient to layout changes, dynamic content, and similar pages, and lets you reuse the same query across multiple sites or variants without rewriting selectors.
Can AgentQL scrape authenticated or behind‑login pages?
Yes, AgentQL can work on pages behind authentication by driving browser sessions that log in first, then querying the resulting page state. You can manage sessions through the SDKs or remote browser APIs and still extract structured JSON from authenticated views like dashboards or user‑only portals.
Does AgentQL require a browser or can it run headless?
AgentQL supports both modes: you can drive real or headless browsers via Playwright and SDKs for complex interactions, or use the REST API in a browserless mode to fetch and query public‑facing URLs or uploaded HTML without launching a full browser on your side.
Can I use AgentQL to parse PDFs and complex tables?
Yes, AgentQL includes PDF‑parsing capabilities that can extract tables and structured data from PDF documents and convert them into JSON. This is useful for turning scanned reports, invoices, or documents into machine‑readable data that agents or workflows can consume.
Is there a way to debug my queries on live pages?
AgentQL offers a browser‑based debugger extension that lets you write and test queries directly on live web pages in real time. You can see immediately which elements match your query and tweak the selectors or schema until the output matches what you need.
How does the self‑healing behavior of queries work?
AgentQL’s self‑healing comes from its AI‑based analysis of page structure and semantics, so when a UI changes slightly (like reordered elements or new wrappers), the query still finds the intended data instead of breaking. The system adapts to these changes without requiring you to manually rewrite every selector.
Can I send raw HTML instead of a URL to the API?
Yes, the REST API accepts raw HTML strings in the request body, allowing you to scrape snapshots, crawled pages, or firewalled content that is not publicly reachable by URL. You just pass the HTML along with an AgentQL query and receive structured JSON back.
What are remote browser hours and when do I need them?
Remote browser hours refer to time spent running headless or real browser sessions on AgentQL’s infrastructure for pages that require JavaScript rendering, login flows, or complex interactions. You need them when scraping single‑page apps or authenticated sites via the remote‑browser API rather than the browserless URL endpoint.
Is there an enterprise plan with custom deployment options?
Yes, AgentQL offers an Enterprise plan that provides fully managed solutions, dedicated cloud environments, and on‑premise deployment options. This tier also includes 24/7 premium support, ready‑to‑use datasets, dedicated account managers, and the fastest time‑to‑market for large‑scale or regulated data‑access workflows.