What is AgentQL?
AgentQL by TinyFish is a query language and SDK suite that lets AI agents interact with web pages, extracting structured data through AI‑powered selectors instead of fragile XPath or CSS. It integrates with Playwright and offers Python and JavaScript SDKs, a headless browser debugger, and a REST API for public or authenticated URLs.
The platform supports PDF parsing, automated data workflows, and reusable, self‑healing queries that work across similar page layouts. Users can build automation pipelines, scrape job listings, e‑commerce products, or social media feeds without writing regex or selectors.
AgentQL pricing Freemium
Starter
$0/mo
Professional
$99/mo
Enterprise
custom
Verify on the official pricing page.
View plansAgentQL user reviews
Based on 5 reviews, 100.0% of users recommend AgentQL, rated highly for quality results.
5
recommend
0
don't
5 reviews
Liked for
Quality results
5 of 5
Easy to use
5 of 5
All key features
3 of 5
Good integrations
3 of 5
Worth the price
2 of 5
Would you recommend AgentQL?
Recommend this tool?
AgentQL's key features
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AI-powered web query language
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Python and JavaScript SDKs
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Browser-based debugging extension
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AI-driven self-healing selectors
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REST API for headless access
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PDF table parsing capability
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Structured data schema definition
AgentQL use cases
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Extract and synchronize product catalogs from e-commerce platforms using AgentQL's headless Playwright integration and self‑healing selectors, automating price and inventory updates in real time
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Scrape and normalize job posting data across multiple career portals with AgentQL’s reusable queries and PDF parsing to ingest resumes, feeding a unified talent database for recruiters
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Deploy a compliance monitoring pipeline that queries regulatory PDFs from government websites via AgentQL, automatically detects new documents and updates a central repository with structured metadata
Who is it for?
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Software developers
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Web designers
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Digital marketers
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Data analysts
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E-commerce sellers
