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AgentQL

Paid

Make the Web AI-Ready

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Type
Saas
Company
AgentQL

About AgentQL

AgentQL is a suite of tools designed to connect Large Language Models (LLMs) and AI agents to web data, enabling precise automation through natural language queries. It features a query language and parser for interacting with web elements and extracting data quickly, precisely, and at scale. AgentQL also offers versatile SDKs for interacting with web page elements via Playwright and Python/JavaScript, along with a browser-based debugger for optimizing queries in real time.

How to Use

Users can start by signing up for a free trial to explore the Playground. They can then use AgentQL's query language to define the data they need from web pages. The platform provides SDKs and a browser extension to interact with and debug queries in real time.

Key Features

  • Natural language queries for web data extraction
  • Query language and parser
  • Playwright integration
  • Python and JavaScript SDKs
  • Browser-based debugger
  • REST API for browserless data retrieval
  • PDF parsing

Use Cases

  • E-commerce data extraction
  • Job board scraping
  • Social media monitoring
  • Web automation
  • Data workflows
  • Simple automation

FAQ

What is PDF parsing? AgentQL Discord Here is the AgentQL Discord: https://discord.gg/agentql. For more Discord message, please click here(/discord/agentql). AgentQL Pricing AgentQL Pricing Link: https://www.agentql.com/pricing AgentQL Linkedin AgentQL Linkedin Link: https://www.linkedin.com/company/tinyfish-ai AgentQL Twitter AgentQL Twitter Link: https://x.com/AgentQL AgentQL Github AgentQL Github Link: https://github.com/tinyfish-io/fish-tank Verdent Build Your Product With Plain Words In Minutes

Key Features

Natural language queries for web data extraction
Query language and parser
Playwright integration
Python and JavaScript SDKs
Browser-based debugger
REST API for browserless data retrieval
PDF parsing

Pros & Cons

Pros
  • Robust alternative to fragile XPath and CSS selectors
  • Self-healing queries adapt to dynamic content and page changes
  • Works on any page, including behind authentication
  • Structured JSON output defined by natural language queries
  • Reusable queries save development time across similar pages
  • Free tier available (300 API calls, 1hr browser, 1 concurrent session)
  • Versatile SDKs and browser extension for debugging
Cons
  • Free trial has low limits (300 API calls, 1hr remote browser, 1 concurrent session)
  • Starter plan (free) includes only 50 API calls/month before pay-as-you-go ($0.02/call)
  • Professional plan at $99/month may be costly for small projects or low volume
  • Requires learning AgentQL query language (though simpler than raw XPath/CSS)
  • Detailed pricing for high volume or enterprise use requires contacting sales

Best For

E-commerce data extractionJob board scrapingSocial media monitoringWeb automationData workflowsSimple automation

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