AgentQL Skill

AgentQL lets you query webpages with natural language to extract structured data and automate browser interactions. It uses Playwright under the hood.

Setup

AgentQL requires an API key. Set it as an environment variable:

export AGENTQL_API_KEY="your-api-key"

Get a free API key at https://dev.agentql.com

Quick Start (Python)

import agentql
from playwright.sync_api import sync_playwright

with sync_playwright() as p:
    browser = p.chromium.launch(headless=True)
    page = agentql.wrap(browser.new_page())

    page.goto("https://example.com")

    # Query with natural language
    response = page.query_data("""
    {
        title
        main_heading
        description
    }
    """)

    print(response)
    browser.close()

Write and Run a Script

# Create a new script template
agentql new-script scraper.py

# Run it
python3 scraper.py

Common Patterns

Extract structured data

response = page.query_data("""
{
    products[] {
        name
        price
        rating
    }
}
""")

Interact with elements

response = page.query_elements("""
{
    search_box
    submit_button
}
""")
response.search_box.fill("query")
response.submit_button.click()

Headless scraping

browser = p.chromium.launch(headless=True)

With existing page (connected to running browser)

browser = p.chromium.connect_over_cdp("http://127.0.0.1:9222")  # Brave/Chrome
page = agentql.wrap(browser.contexts[0].pages[0])

CLI

agentql doctor          # Check setup
agentql new-script      # Generate template script

Notes

• API key required: https://dev.agentql.com (free tier available)
• Scripts run via: python3 script.py
• Can connect to the running Brave browser via CDP (port 9222)