AgentQL
AI-powered semantic query language for web scraping and automation
AgentQL uses natural language queries to locate web elements and extract structured data without brittle CSS selectors or XPath.
Kom hurtigt i gang
query.ts
Kom i gang med AgentQL i dit projekt.
import { wrap } from 'agentql'
import { chromium } from 'playwright'
const browser = await chromium.launch()
const page = await wrap(await browser.newPage())
await page.goto('https://www.cvr.dk')
const QUERY = `{
search_input
search_button
}`
const response = await page.queryElements(QUERY)
await response.search_input.type('Novo Nordisk')
await response.search_button.click()Om AgentQL
AgentQL eliminates the main failure point of web scrapers: fragile CSS and XPath selectors that break when sites change. By querying elements with semantic descriptions (e.g. `{ company_name, cvr_number, vat_status }`), AgentQL automatically resolves the correct DOM nodes even across UI redesigns.
DK
Danske data- og produkt-guides
Hvordan udviklere og agenter bruger AgentQL til at tilgå dansk digital infrastruktur.
Scrape Danish E-Commerce Prices Resilient to Redesigns
Use AgentQL semantic queries on Danish retail portals to extract price, stock, and SKU details without maintaining custom selectors.
Nøglefunktioner
Natural language element targeting (no CSS/XPath needed)
Self-healing against website UI and DOM updates
Drop-in Playwright extension with Python and TypeScript SDKs
AgentQL MCP server for interactive agent browser control