Code & Development · GitHub ·1,314 ★

agentql

AgentQL is a suite of tools for connecting your AI to the web. Featuring a query language and Playwright integrations for interacting with elements and extracting data quickly, precisely, and at scale. Includes REST API, Python and JavaScript SDKs, browser debugger.

Details

Author
tinyfish-io
Category
Code & Development
Platform
GitHub
Framework
custom
Language
shell
Stars
1,314
First indexed
2026-05-15
Last active
2026-04-06
Directory sync
2026-05-15

Overview

AgentQL is a suite of tools for connecting your AI to the web. Featuring a query language and Playwright integrations for interacting with elements and extracting data quickly, precisely, and at scale. Includes REST API, Python and JavaScript SDKs, browser debugger.

Quick start

git

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

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What agentql can do

  • Scrap — scrap task automation.
  • Api — api task automation.
  • Debug — debug task automation.
  • Data — Reads, transforms, and analyses structured data.

Frequently asked questions

What is agentql?
AgentQL is a suite of tools for connecting your AI to the web. Featuring a query language and Playwright integrations for interacting with elements and extracting data quickly, precisely, and at scale. Includes REST API, Python and JavaScript SDKs, browser debugger.
How do I install agentql?
Use git: `git clone https://github.com/tinyfish-io/agentql`. Full setup details on the source page linked above.
Is agentql open source?
agentql is published on GitHub.
What are alternatives to agentql?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for agentql is sourced from GitHub, published by tinyfish-io.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.