Make web AI-ready: extract structured data with AI-powered queries
From $99/mo (free plan available)Visit WebsiteFreemiumVisit Website
Tracked since2026
The Bottom Line
- Price
- From $99/mo (free plan available). Compare plans
Key facts
- Connects AI agents and LLMs to the web for structured data extraction.
- Uses an AI-powered query language for robust and self-healing data parsing.
- Offers SDKs, a debugger, and API for scalable web automation and data workflows.
Pros
- Significantly reduces the effort of writing fragile parsing scripts compared to XPath or CSS selectors.
- Provides consistent data extraction even when web page layouts change.
- Enables AI models to interact with and understand web content more effectively, reducing hallucinations.
- Supports both public and private web pages, including those requiring authentication.
- Offers a free tier for developers to get started without upfront costs.
Cons
- Requires understanding of its specific query language for optimal use.
- Reliance on remote browser time for certain operations may incur additional costs on paid plans.
What is AgentQL?
AgentQL provides a suite of tools designed to make the web AI-ready by enabling large language models (LLMs) and AI agents to interact with and extract structured data from any web page. It features a unique query language and parser that uses AI to analyze page structures, offering a robust alternative to traditional selectors like XPath or CSS. This allows for quick, precise, and scalable data extraction, even from dynamic content or pages behind authentication.
The platform is ideal for developers and teams building web agents, data workflows, and automation pipelines. It includes versatile SDKs for Python and JavaScript, enabling interaction with web page elements via Playwright and headless browsers. A browser-based debugger assists in optimizing queries in real-time. AgentQL also supports PDF parsing for extracting difficult information like tables and offers a REST API for retrieving public-facing data without a browser. Its core value lies in providing consistent, structured data results despite page changes, making it a powerful tool for reliable web data integration into AI applications.
Preview
Key Features
- AI-powered query language for web interaction and data extraction
- Versatile SDKs (Python, JavaScript) for web element interaction
- Browser-based debugger for real-time query optimization
- Robustness against dynamic content and page changes (self-healing queries)
- Structured data output based on query definition
- Works on any public or private web page, including behind authentication
- REST API for browserless data retrieval from public URLs
- PDF parsing for extracting tabular and complex information
Pricing Plans
Free TrialPricing checked Oct 4, 2026
| Plan | Price | Details |
|---|---|---|
| Free | Free |
+3 moreShow less
|
| Starter | $0 / monthly |
+5 moreShow less
|
| Professional | $99 / monthly |
+6 moreShow less
|
| Enterprise | Contact us |
+1 moreShow less
|
Is AgentQL worth the price?
Good value
AgentQL's pricing is quite generous for early-stage developers and small projects, with a robust Free tier offering 300 API calls.
The Starter tier at $0/month (plus usage) provides a low-cost entry point, while the Professional tier at $99/month offers significant value for growing applications with 10,000 API calls included. This structure is best for developers and small to medium-sized businesses needing flexible web data extraction.
Hidden Costs & Gotchas
Overage fees for API calls ($0.02-$0.015)
Overage fees for remote browser time ($0.12-$0.10/hr)
Reviews
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AgentQL FAQ
How does AgentQL's AI-powered query language differ from traditional XPath or CSS selectors for data extraction?
AgentQL's AI-powered query language analyzes the page's structure semantically to find the data, making it more robust and self-healing. Unlike fragile XPath or DOM/CSS selectors that break with minor page changes, AgentQL provides consistent results even when content is dynamic or page layouts evolve.
Can AgentQL extract data from web pages that require user authentication or are not publicly accessible?
Yes, AgentQL is designed to work on any web page, whether public or private, and can extract data from sites even behind authentication. This capability extends to any URL, providing broad access for data workflows.
What development environments or languages are supported for integrating AgentQL into existing projects?
AgentQL provides versatile SDKs for both Python and JavaScript, allowing developers to interact with web page elements using familiar programming languages. These SDKs integrate with Playwright and headless browsers for comprehensive web interaction.
Is it possible to define the specific structure of the data I want to extract using AgentQL?
Yes, you can define the exact shape of your desired data directly within your query. AgentQL will then extract the information and return it in that specified structured format, such as JSON, ensuring consistency and ease of use in your applications.
How does AgentQL handle data extraction from complex documents like PDFs, especially tables?
AgentQL includes PDF parsing capabilities specifically designed to extract difficult information, such as tables, from PDF documents. This functionality allows for comprehensive data capture beyond just web pages.
What is the purpose of the browser-based debugger, and how does it assist in query development?
The browser-based debugger extension allows developers to optimize their AgentQL queries in real time directly on any web page. This tool provides immediate feedback and helps refine queries for accuracy and efficiency before deployment.
Can AgentQL queries be reused across multiple web pages that have similar layouts but different content?
Yes, a key feature of AgentQL is the reusability of its queries. The same query can effectively work across multiple similar pages, saving significant development time and effort in setting up data extraction for consistent website structures.
What are the limitations on API calls and remote browser usage for the free tier?
The free tier includes 300 free API calls per month, with a rate limit of 10 API calls per minute. It also provides 1 hour of remote browser time and allows for 1 concurrent remote browser session.
Source: agentql.com