browser-automation · Public

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.

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot1.4k stars

160 forks · 19 contributors

Doramagic.ai Last verification date: 2026-07-19 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-19

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.
Best fit: Users who want source-backed project understanding before installing it.
Not for: Not for users who want to skip sandbox verification or cannot accept configuration, permission, or maintenance overhead.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
First safe verification step: Verify the smallest path in an isolated environment and keep a rollback path.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/tinyfish-io/agentql, https://github.com/tinyfish-io/agentql#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

Repositorytinyfish-io/agentql

1.4k stars · 160 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

AgentQL Overview and Quick Start

Related topics: Python and JavaScript SDK Usage Patterns, Examples Catalog and Common Workflows

Source: https://github.com/tinyfish-io/agentql / Human Manual

Python and JavaScript SDK Usage Patterns

Related topics: AgentQL Overview and Quick Start, Examples Catalog and Common Workflows, Stealth, Anti-Bot, Remote Browsers, and Community Topics

Source: https://github.com/tinyfish-io/agentql / Human Manual

Examples Catalog and Common Workflows

Related topics: AgentQL Overview and Quick Start, Python and JavaScript SDK Usage Patterns, Stealth, Anti-Bot, Remote Browsers, and Community Topics

Source: https://github.com/tinyfish-io/agentql / Human Manual

Stealth, Anti-Bot, Remote Browsers, and Community Topics

Related topics: AgentQL Overview and Quick Start, Python and JavaScript SDK Usage Patterns, Examples Catalog and Common Workflows

Source: https://github.com/tinyfish-io/agentql / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/tinyfish-io/agentql, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars1.4k stars

Forks160 forks

Contributors19 contributors

Licenseunknown

Community Discussion Evidence

3 source-linked items

Review these external discussions before using agentql with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Starlog published a deep-dive on tinyfish-io/agentql
github / github_issue
02
Dependency Dashboard
github / github_issue
03
Capability evidence risk requires verification
GitHub / issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install agentql

Official start command · https://github.com/tinyfish-io/agentql#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

agentql Manual

Open the full manual

https://github.com/tinyfish-io/agentql Project Manual
Table of Contents
AgentQL Overview and Quick Start
Related Pages
What is AgentQL
Installation and Environment Setup
Core Concepts: `wrap()` and the Query Language
Example Walkthrough and Common Patterns

AgentQL Overview and Quick Start

Related topics: Python and JavaScript SDK Usage Patterns, Examples Catalog and Common Workflows

Source: https://github.com/tinyfish-io/agentql / Human Manual

Python and JavaScript SDK Usage Patterns

Related topics: AgentQL Overview and Quick Start, Examples Catalog and Common Workflows, Stealth, Anti-Bot, Remote Browsers, and Community Topics

Source: https://github.com/tinyfish-io/agentql / Human Manual

Examples Catalog and Common Workflows

Related topics: AgentQL Overview and Quick Start, Python and JavaScript SDK Usage Patterns, Stealth, Anti-Bot, Remote Browsers, and Community Topics

Source: https://github.com/tinyfish-io/agentql / Human Manual

Stealth, Anti-Bot, Remote Browsers, and Community Topics

Related topics: AgentQL Overview and Quick Start, Python and JavaScript SDK Usage Patterns, Examples Catalog and Common Workflows

Source: https://github.com/tinyfish-io/agentql / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.