agentql

🥇Gold

AgentQL is a powerful toolkit designed to connect AI with the web. It offers a unique query language and Playwright integrations for efficient data extraction and automation, making it ideal for developers and data professionals.

1,3031370Updated 2w ago

Intermediate15 minutes to implementdevelopment

Saves ~300 min per use

Quick InstallView Source

claude install tinyfish-io/agentql

Works with:

ChatGPTGitHub Copilot

Overview

About This Skill

https://docs.agentql.com

How to Use

["1. Identify the website or web application you need to extract data from. Ensure it's accessible and complies with the site's terms of service.","2. Define the criteria for the data you want to extract. Be specific about the fields, filters, and any transformations needed.","3. Choose the output format (JSON, CSV, etc.) and the destination where the data should be saved.","4. Use the prompt template to instruct AgentQL, specifying the website URL, criteria, format, and destination.","5. Review the extracted data for accuracy and completeness. Use AgentQL's debugging tools if any issues arise."]

Use Cases

Automate the extraction of product data for e-commerce analysis and reporting.

Build AI-driven applications that require real-time data from various web sources.

Create custom web scrapers for monitoring competitor pricing and product availability.

Integrate AI with web services to enhance data processing and analysis capabilities.

Best For

GrowthRevOps

Setup & Installation

Quick Install

Terminal

claude install tinyfish-io/agentql

Alternative Install (Git Clone)

git clone https://github.com/tinyfish-io/agentql

Requirements

Claude Code or compatible AI agent
Works with: ChatGPT, GitHub Copilot

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use AgentQL to extract data from [WEBSITE_URL] based on the following criteria: [CRITERIA]. The data should be structured in [FORMAT] and saved to [DESTINATION]. Ensure the extraction is done efficiently and accurately.

Example Output

Based on your request, I've used AgentQL to extract product data from the e-commerce website 'ShopEase'. The criteria specified were products with a rating above 4.5 stars and priced under $100. The data is structured in JSON format and saved to a CSV file named 'high_rated_products.csv'. Here are the first 5 entries:

1. Product Name: Wireless Bluetooth Headphones
   Price: $79.99
   Rating: 4.7 stars
   Category: Electronics

2. Product Name: Portable Charger
   Price: $29.99
   Rating: 4.6 stars
   Category: Electronics

3. Product Name: Yoga Mat
   Price: $39.99
   Rating: 4.8 stars
   Category: Fitness

4. Product Name: Stainless Steel Water Bottle
   Price: $24.99
   Rating: 4.7 stars
   Category: Home & Kitchen

5. Product Name: Leather Wallet
   Price: $49.99
   Rating: 4.6 stars
   Category: Accessories

The extraction was completed in under 2 minutes, and the data is ready for further analysis or integration into your systems.