AgentQL: Connect LLMs and AI Agents to the Web

AgentQL

3.5 | 25 | 0
Type:
Website
Last Updated:
2025/10/18
Description:
AgentQL connects LLMs and AI agents to the web, enabling natural language queries, web data connection, and precise automation for developers and data workflows.
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web data extraction
LLM integration
web automation
data scraping
AI agents

Overview of AgentQL

AgentQL: The AI-Ready Web Connector

AgentQL by TinyFish is a suite of tools designed to connect Large Language Models (LLMs) and AI agents to the entire web. It offers a query language and parser for interacting with web elements and extracting data quickly, precisely, and at scale. This innovative tool aims to eliminate the fragility of traditional XPath and DOM/CSS selectors by leveraging AI to analyze the page’s structure and locate the desired data.

What is AgentQL?

AgentQL is a platform that allows developers to build AI agents with natural language queries, connecting web data and enabling precise automation. It provides tools to interact with web page elements, extract data, and define the shape of your data with queries. Whether you're building e-commerce solutions, job boards, or social media integrations, AgentQL simplifies the process of accessing and structuring web data.

How does AgentQL work?

AgentQL uses a combination of a versatile SDK, a browser-based debugger, and a robust AI-driven approach to web data extraction. Here’s a breakdown:

  • Versatile SDK: AgentQL provides Python and JavaScript SDKs, allowing developers to interact with web page elements via Playwright and headless browsers.
  • Browser-based Debugger: A browser extension enables real-time query optimization on any web page, ensuring precise data extraction.
  • AI-Powered Data Extraction: Unlike fragile XPath and DOM/CSS selectors, AgentQL analyzes the page’s structure using AI to find the data you're looking for. This self-healing approach ensures consistent results despite dynamic content and page changes.
  • Browserless REST API: Retrieve public-facing data from any URL without needing a browser.
  • PDF Parsing: Extract difficult information like tables from PDFs.

Key Features and Benefits

  • Versatile SDK: Interact with web page elements via Playwright and our Python and JavaScript SDKs and headless browsers.
  • Browser-based debugger: Use the debugging browser extension for optimizing queries in real-time on any web page.
  • Robustness: A robust alternative to fragile XPath and DOM/CSS selectors: AgentQL uses AI to analyze the page’s structure to find the data you’re looking for.
  • Works on any page: Public or private, any site, 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.

How to use AgentQL?

  1. Sign Up: Start by signing up for a free trial on the AgentQL website.
  2. Explore the Playground: Use the playground to experiment with AgentQL queries and see how they extract data from different web pages.
  3. Integrate into Your Workflow: Use the Python or JavaScript SDKs to integrate AgentQL into your existing data workflows and automation pipelines.
  4. Use the Browser Extension: Optimize your queries in real-time using the debugging browser extension.

Who is AgentQL for?

AgentQL is ideal for:

  • Developers: Building web agents and data workflows.
  • Data Engineers: Needing to extract and structure data from various web sources.
  • AI Engineers: Integrating web data into AI models and applications.
  • Businesses: Automating data extraction processes for e-commerce, job boards, social media, and more.

Why choose AgentQL?

  • Time-Saving: Eliminates the need to write fragile parsing scripts and crunch reams of HTML.
  • Accuracy: AI-driven data extraction ensures consistent results even with dynamic content.
  • Flexibility: Works on any page, public or private, even behind authentication.
  • Scalability: Designed for extracting data quickly, precisely, and at scale.

Use Cases

  • E-commerce Data Extraction: Extract product information, prices, and images from e-commerce websites.
  • Job Board Aggregation: Aggregate job postings from multiple job boards, including details like job title, company, and location.
  • Social Media Monitoring: Extract data from social media platforms for sentiment analysis, trend tracking, and more.

Pricing

AgentQL offers several pricing plans:

  • Starter: Free, with 300 API calls, 10 API calls per minute, and 1 hour of remote browser time.
  • Professional: $99/month, including 10,000 API calls, 50 API calls per minute, and 500 hours of remote browser time.
  • Enterprise: Custom pricing for fully managed solutions.

What problems does AgentQL solve?

AgentQL solves the following problems:

  • Fragile parsing scripts: Traditional web scraping methods rely on fragile parsing scripts that break when the website structure changes.
  • Time-consuming data extraction: Extracting data from websites can be a time-consuming and tedious process.
  • Difficulty extracting data from dynamic websites: Dynamic websites that use JavaScript to load content can be difficult to scrape.
  • Hallucinations and context window issues: When using LLMs to process raw HTML content, context window issues and hallucinations can occur.

Customer Testimonials

  • Vladimir de Turckheim, Founder, 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 automation painlessly, which is quite unusual. It's awesome stuff — 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.”
  • Mahmoud Masmoudi, Data Engineer: “AgentQL has been a game-changer in my data extraction process! The ability to create reusable configurations across similar website layouts has saved me considerable time and effort”

Conclusion

AgentQL by TinyFish is a powerful tool for connecting LLMs and AI agents to the web. By offering a robust query language, versatile SDK, and AI-driven approach to data extraction, AgentQL simplifies the process of accessing and structuring web data. Whether you're a developer, data engineer, or AI engineer, AgentQL can help you save time, improve accuracy, and scale your data workflows. With its free trial and flexible pricing plans, AgentQL is accessible to developers of all sizes. Its AI-powered robustness makes it a superior choice compared to traditional, fragile parsing scripts.

Get Started

Ready to make the web AI-ready? Sign up for a free trial and explore the possibilities with AgentQL. Join thousands of developers who are already leveraging AgentQL’s powerful tools for their data workflows.

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