AgentQL

AgentQL: The AI-Powered Solution for Web Data Extraction and Automation

What is AgentQL? AgentQL is a powerful suite of tools designed to connect Large Language Models (LLMs) and AI agents to the web, enabling efficient and accurate data extraction and automation. It provides a unique query language that allows users to interact with web elements, extract data at scale, and build AI-ready web applications.

How does AgentQL work?

AgentQL uses AI to analyze the structure of web pages, making it a robust alternative to fragile XPath and DOM/CSS selectors. Instead of relying on brittle parsing scripts, AgentQL allows you to describe the data you need in natural language. Here's a breakdown of its key features:

• Versatile SDK: Interact with web page elements using Playwright and Python and JavaScript SDKs, along with headless browsers.
• Browser-based Debugger: Optimize queries in real-time on any web page using the debugging browser extension.
• Browserless REST API: Retrieve public-facing data from any URL without needing a browser.
• PDF Parsing: Extract data from difficult-to-parse PDFs, including tables.

Key Features and Benefits

• Works on any page: Public, private, any URL, even behind authentication.
• Structured data: Define the shape of your data with your query.
• Self-healing: Get consistent results despite dynamic content and page changes.
• Reusable code: The same query works across multiple similar pages.
• Natural language queries: No regex, XPath, or CSS selectors needed.

How to Use AgentQL

1. Define your data needs: Use the AgentQL query language to specify the data you want to extract.
2. Execute the query: Use the SDK, API, or browser extension to run the query against the target web page.
3. Receive structured data: AgentQL returns the data in a structured JSON format, ready for use in your applications.

Pricing Plans

AgentQL offers a range of pricing plans to suit different needs:

• Starter: Free plan with 300 API calls and limited remote browser usage.
• Professional: $99/month, including 10,000 API calls and 500 hours of remote browser time.
• Enterprise: Custom solutions for accessing data from websites and documents, with dedicated support and managed cloud environments.

Integrations

AgentQL integrates seamlessly with various tools and platforms, including:

• Playwright
• Python SDK
• JavaScript SDK
• REST API

Why is AgentQL important?

AgentQL simplifies web data extraction and automation, saving developers time and effort. It is particularly useful for:

• E-commerce businesses that need to track product prices and availability.
• Job boards that need to scrape job postings.
• Social media platforms that need to monitor user activity.
• Any organization that needs to extract data from websites or PDFs.

User Testimonials

Developers are praising AgentQL for its ease of use and effectiveness:

• Vladimir de Turckheim, Founder of Heal.dev: "With AgentQL sending the query and getting the results is a gamechanger for text grounding."
• Fahd Mirza, AI YouTuber, Lead AI Engineer: "AgentQL handles web scraping painlessly... very easy to use and with very well-written responses."
• Reda Marzouk, AI/RPA Senior Developer: "Love the fact that we can describe the elements that we can work with, or we can just give a prompt and AgentQL will go to the websites and define the elements that it will have to deal with."

Conclusion

AgentQL empowers developers to efficiently extract and structure web data, enabling a wide range of AI-driven applications. With its natural language query interface, robust SDKs, and browserless API, AgentQL significantly simplifies web scraping and automation. Whether you're building AI agents, analyzing market trends, or automating data workflows, AgentQL provides the tools you need to succeed.