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AgentQL

by jayfish0 · v1.0.0

AgentQL API integration for web data extraction.

14k installsUpdated May 29, 2025
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This community listing does not yet include every recommended support, privacy, pricing, and permission disclosure. Review the available package permissions before installing.

Capabilities

Tools

Available inside your emploidai workspace after installation.

Data sources

Available inside your emploidai workspace after installation.

Category

tool

Version

1.0.0jayfish0

Requirements

Maximum memory 1MB

Pricing

Not disclosed by publisher

Security & access

Review before installing

CompatibleRequires emploidai 1.0.0+

Permissions

  • Requires encrypted tool credentials

Dependencies

No additional dependencies

Resources

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AgentQL

Overview

AgentQL provides structured data extraction from any web page using an AgentQL query or a Natural Language prompt. AgentQL works across multiple languages and web pages without breaking over time.

Configuration

  1. Install AgentQL Tool

    • Access the Plugin Marketplace
    • Locate and install the AgentQL tool
  2. Create an AgentQL API Key

    • Visit AgentQL Dev Portal
    • Generate your API key
  3. Authorize AgentQL

    • Go to Plugins > AgentQL > To Authorize in Dify
    • Input your API key

Workflow Usage

Integrate AgentQL into your pipeline by following these steps:

  1. Add AgentQL's Extract Web Data tool to your pipeline
  2. Configure input variables in the tool's UI
  3. Run the pipeline to extract web page data

Query Methods

Using AgentQL query language:

Using Natural Language:

Note: You must provide either query or prompt. If both are provided, query takes precedence:

  • Use query if you want to extract data in a structure you define.
  • Use prompt if you want to extract data in a structure AgentQL infers from your Natural Language description.

Agent Usage

  1. Add AgentQL's Extract Web Data tool to your Agent app
  2. Prompt the Agent to extract data from a web page with either an AgentQL query or a Natural Language prompt:
    • Using AgentQL query: "Extract the data from https://www.agentql.com/blog using the following agentql query: { posts[] { title author }}"
    • Using Natural Language: "Extract the blog posts title and author from https://www.agentql.com/blog"

Example: