AgentQL
AgentQL is a suite of tools that connects LLMs and AI agents to the web, enabling data extraction and workflow automation on live websites using natural language queries. It provides Python and JavaScript SDKs, a REST API, and a debugger, and is designed for developers building scrapers, automation, and AI agents that need to interact with dynamic or authenticated web content.
✨ Key features
- Natural language queries to pinpoint data and elements
- Seamless integration with Playwright for automation
- Cross-site compatibility with self-healing queries
- Structured output defined by query shape
- Transforms and extracts data in queries
- Works on any page, including authenticated content
🎯 Use cases
- Scraping product prices and comparing them across sites
- Automating form submissions and login workflows
- Collecting paginated data from news or e-commerce sites
- Performing sentiment analysis on web content
- Building web scrapers that save data to CSV
📦 Installation
pip install agentql
For JavaScript:
npm install agentql
(Note: The README does not provide explicit installation commands; these are inferred from typical SDK usage. Please refer to the official docs for exact instructions.)
🚀 Usage
from agentql import AgentQL
# Example: Extract product data from a page
query = """
{
product_name
price
}
"""
with AgentQL() as client:
data = client.query(url="https://example.com", query=query)
print(data)
(Note: This is a simplified example; actual usage may vary. See the README examples for complete scripts.)
❓ FAQ
What programming languages are supported?
AgentQL provides Python and JavaScript SDKs.
Can AgentQL work on pages that require authentication?
Yes, AgentQL works on any page, including those behind authentication.
Does AgentQL integrate with Playwright?
Yes, both the Python and JavaScript SDKs seamlessly integrate with Playwright.
Is there a REST API available?
Yes, AgentQL offers a REST API for executing queries without an SDK.
📊 Repository
🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.