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AgentQL

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Natural-language web and PDF data extraction for AI agents and automation

Site Internet :https://www.agentql.com/
Ajouté :13 juil. 2026
Visiteurs mensuels :
18.7K
Réseaux sociaux et e-mail :
Web data extractionWeb scrapingAI agentsWeb automationPDF parsingStructured data extraction
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Informations sur l’outil

Qu'est-ce que AgentQL ?

AgentQL is a suite of tools for connecting AI agents and automation workflows to web pages and documents. It uses natural-language queries and AI-powered page analysis to extract structured data from websites and PDFs.

Fonctionnalités principales

  • Natural-language web queries

    Define the data to extract with natural-language AgentQL queries without writing regular expressions, XPath, or CSS selectors.

  • Structured data extraction

    Specify the shape of extracted results, including fields and arrays, and return structured JSON data.

  • AI-powered page analysis

    Use AI to analyze page structure and locate requested data as an alternative to fragile XPath and DOM or CSS selectors.

  • Browser automation SDKs

    Interact with web page elements through Playwright and AgentQL Python and JavaScript SDKs.

  • Browser-based debugger

    Optimize AgentQL queries in real time on web pages with a browser extension.

  • Browserless REST API

    Retrieve public-facing data from URLs through a REST API without using a browser.

  • PDF parsing

    Extract information from PDF documents, including tables.

  • Dynamic-content resilience

    Find exact elements and return consistent results despite dynamic content and page-structure changes.

  • Authenticated-page access

    Support data extraction from public or private sites, including URLs behind authentication.

  • Reusable queries

    Reuse the same query across multiple similar pages.

Cas d'utilisation

  • #1

    Web data extraction

    Extract product, job, social-media, and other structured data from websites.

  • #2

    AI agent development

    Connect AI agents to web data through natural-language queries and structured results.

  • #3

    Web automation

    Build web automation pipelines and interact with page elements using SDKs and browser tooling.

  • #4

    Data workflows

    Collect data from multiple sources on a schedule and use it in data workflows.

  • #5

    Document data extraction

    Extract difficult information, such as tables, from PDF documents.

Idéal pour :DevelopersAI agent buildersTeams running data workflowsTeams building web automation pipelines

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Foire aux questions

What is AgentQL?
AgentQL is a suite of tools for connecting AI agents and automation workflows to websites and documents through natural-language queries and structured data extraction.
What can AgentQL extract?
AgentQL can extract structured information from web pages and PDFs, including difficult information such as tables.
Do I need to write XPath, CSS selectors, or regular expressions?
No. AgentQL queries let you describe the data to extract in natural language without writing regular expressions, XPath, or CSS selectors.
Does AgentQL support browser automation?
Yes. AgentQL supports browser automation through Playwright, Python and JavaScript SDKs, headless browsers, and a browser-based debugger.
Does AgentQL provide an API?
Yes. AgentQL provides a REST API for retrieving public-facing data from URLs without using a browser.
Can AgentQL work with authenticated pages?
The official source states that AgentQL supports data extraction from public or private sites, including URLs behind authentication.
How much does AgentQL cost?
AgentQL offers a Starter plan at $0 per month, a Professional plan at $99 per month, and custom Enterprise pricing. The Starter plan includes 50 free API calls per month, followed by usage-based API and remote-browser charges.
Does AgentQL offer a free trial?
The official source advertises a free trial with no credit card required and 300 free API calls.

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Informations sur l’outil

Modèle tarifaireFreemium
CatégorieAnalyse de données
Tags
Web data extractionWeb scrapingAI agentsWeb automationPDF parsingStructured data extraction
LangueAnglais
Dernière mise à jour16 juil. 2026
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