AgentQL: Web Data Extraction Tool
AgentQL helps software companies and data teams automate web data extraction. It is designed for organizations that need to collect structured data from dynamic websites without writing traditional parsing scripts.
At a glance
- Category
- Data & Analytics
- Best for
- Software Companies, Data Teams, Developers, AI Agent Builders
- Pricing
- AgentQL offers a free Starter plan with 50 calls/month, a Professional plan at $99/month with 10,000 calls, and custom Enterprise pricing.
- Key use cases
- Structured Data Extraction, Web Agent Development, Document Data Parsing, Automated Data Pipelines
- Integrations
- LangChain, Zapier, Dify, Langflow, AgentStack
- Official website
- agentql.com
AgentQL is a suite of tools designed to connect LLMs and AI agents to web data. It provides a query language and parser that allows users to define the shape of the data they need using natural language, as an alternative to traditional XPath or CSS selectors.
The tool is primarily built for developers and technical teams creating web agents or maintaining data pipelines. It offers SDKs for Python and JavaScript, as well as a REST API for retrieving public data without requiring a browser.
It supports extracting structured JSON data from public or private sites, including those behind authentication. It also includes capabilities for parsing tables and information from PDF documents.
Buyers should note that this is a technical tool requiring programming knowledge for most implementations. Those seeking a no-code experience should confirm which specific third-party platforms, such as Zapier, meet their requirements.
Key Features
Allows users to define data structures and find elements using semantic descriptions instead of XPath or CSS selectors.
Provides libraries for integrating web automation and data extraction into Node.js and Python environments via Playwright.
Supports retrieving public-facing data from URLs as JSON without requiring a local browser.
Designed to extract structured information and tables from PDF and image files.
A tool for optimizing and testing queries in real time on live web pages.
Provides the ability to create remote Chrome DevTools Protocol (CDP) sessions for browser automation.
Use Cases
Collecting specific data points from web pages and returning them as structured JSON.
Linking LLMs to the web to help AI agents interact with page elements and retrieve information in real time.
Extracting data from PDFs and image files using the query language.
Building workflows that collect data from multiple similar website layouts.
Best For
Integrations
Pricing
AgentQL offers a free Starter plan with 50 calls/month, a Professional plan at $99/month with 10,000 calls, and custom Enterprise pricing.
FAQ
It is primarily designed for developers, data teams, and software companies building web agents or automated data workflows.
Yes, AgentQL supports parsing information and tables from PDF and image files (JPG, JPEG, PNG).
There is a free Starter plan (50 calls/month), a Professional plan for $99/month (10,000 calls), and custom Enterprise options.
Most features require technical skills, but the tool can be used without coding through no-code platforms like Zapier and Dify.
Source category: Data & Analytics
Source subcategory: Web Scraping API
