Getting startedPython

AgentQLSimplify Web Data Extraction with Declarative Queries

AgentQL is a powerful toolkit that bridges AI with web pages, offering a declarative query language and deep Playwright integration for precise, large-scale data extraction. It provides a REST API, Python and JavaScript SDKs, and a browser debugger, significantly simplifying web automation and making data scraping more robust and accessible. The project is primarily written in Python and licensed under MIT.

1.4K Stars
161 Forks
8 Issues
46 Views
Python
MIT
Indexed

Project Overview

AgentQL is a toolkit that connects AI with web pages, enabling developers to perform precise and large-scale data extraction through a declarative query language and deep integration with Playwright.

Core Features

  • Declarative Query Language: Offers a SQL-like syntax for intuitively describing the data to be extracted from web pages.
  • Playwright Integration: Deep integration with Playwright supports browser automation and improves the reliability of data scraping.
  • REST API: Provides a RESTful interface for other services or scripts to call the data extraction functionality.
  • Python and JavaScript SDKs: Includes development kits for Python and JavaScript to meet the needs of different language ecosystems.
  • Browser Debugger: Comes with a browser debugger tool to help users view and debug the extraction process in real time.

Tech Stack and License

The primary programming language is Python, and the project is licensed under the MIT License, allowing free use, modification, and distribution.

Getting Started

Users can obtain the source code from the official GitHub repository and follow the instructions in the README for installation and configuration. It is recommended to use the tool with a Playwright environment and integrate it into existing workflows via the REST API or SDKs.

AgentQLweb data extractionPlaywright automationAI web integrationdeclarative queryopen-source scraperbrowser automationdata scrapingPython toolsJavaScript toolsweb scraping

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Frequently Asked Questions

What is AgentQL: Simplify Web Data Extraction with Declarative Queries?

AgentQL is a powerful toolkit that bridges AI with web pages, offering a declarative query language and deep Playwright integration for precise, large-scale data extraction. It provides a REST API, Python and JavaScript SDKs, and a browser debugger, significantly simplifying web automation and making data scraping more robust and accessible. The project is primarily written in Python and licensed under MIT.

What language is AgentQL: Simplify Web Data Extraction with Declarative Queries written in?

AgentQL: Simplify Web Data Extraction with Declarative Queries is primarily written in Python.

What license is AgentQL: Simplify Web Data Extraction with Declarative Queries under?

AgentQL: Simplify Web Data Extraction with Declarative Queries is released under the MIT license.

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