AgentQL
AgentQL connects LLMs and AI agents to the entire web through a specialized query language, REST API, and Python/JavaScript SDKs. It enables web scraping, data extraction, and browser automation using natural language queries that are self-healing — adapting automatically to page layout changes. AgentQL supports structured data extraction from web pages, PDF documents, and images, and integrates with LangChain, LlamaIndex, MCP, Zapier, and Google ADK.
AgentQL publishes 3 APIs on the APIs.io network: Query Data API, Query Document API, and Remote Browser API. Tagged areas include Agents, Artificial Intelligence, Web Scraping, Data Extraction, and Browser Automation.
The AgentQL catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.
AgentQL’s developer surface includes authentication, developer portal, documentation, getting-started guide, pricing, engineering blog, support, and 9 more developer resources.
Kin Score
APIs 5
Individual APIs this provider publishes, each with its own machine-readable definition.
AgentQL Remote Browser Sessions API
Create and manage remote Chrome browser sessions with Chrome DevTools Protocol (CDP) access for authenticated web automation, stealth browsing, and complex multi-step interactions.
AgentQL Query Document API
Extract structured data from PDF documents and images (JPEG, PNG) using AgentQL query language or natural language prompts. Useful for processing invoices, reports, and other do...
AgentQL Query Data API
Extract structured data from web pages using AgentQL queries
AgentQL Query Document API
Extract structured data from PDF and image documents
AgentQL Remote Browser API
Manage remote Chrome browser sessions with CDP access
Postman Collections 3
Ready-to-run Postman collections for exercising this provider's APIs.
AgentQL Query Data API
POSTMANMCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
MCP Server
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Agentql Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Agentql Finops
FINOPSFeatures 7
Notable capabilities this provider offers.
Natural Language Query Language
A specialized query language that uses natural language to locate and extract web elements without requiring XPath, CSS selectors, or regex.
Self-Healing Queries
AI-powered queries automatically adapt to page layout changes, eliminating brittle scrapers that break on site updates.
REST API
Browserless data extraction from public URLs via a REST API requiring only an API key and query parameters.
PDF and Image Parsing
Extract structured data from PDF documents, JPEG, and PNG images using the same query language as web extraction.
Remote Browser Sessions
Managed Chrome browser sessions with CDP access for authenticated browsing, stealth mode, and complex multi-step web automation.
Playwright Integration
Python and JavaScript SDKs extend Playwright with AgentQL query capabilities for AI-powered browser automation.
Browser Debugger Extension
Chrome extension for real-time query testing and optimization during development.
Scroll for all 7
Semantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Agentql Context
JSON-LDSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
AgentQL API Rules
SPECTRALJSON Schema 7
Standalone JSON Schema definitions for this provider's data models.
CreateSessionRequest
JSON SCHEMACreateSessionResponse
JSON SCHEMAQueryDataRequest
JSON SCHEMAQueryDataResponse
JSON SCHEMAQueryDocumentRequest
JSON SCHEMAQueryParams
JSON SCHEMAResponseMetadata
JSON SCHEMAScroll for all 7
JSON Structure 7
JSON Structure definitions describing this provider's data shapes.
Agentql Create Session Request Structure
JSON STRUCTUREAgentql Create Session Response Structure
JSON STRUCTUREAgentql Query Data Request Structure
JSON STRUCTUREAgentql Query Data Response Structure
JSON STRUCTUREAgentql Query Document Request Structure
JSON STRUCTUREAgentql Query Params Structure
JSON STRUCTUREAgentql Response Metadata Structure
JSON STRUCTUREScroll for all 7
Examples 2
Example request and response payloads for these APIs.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 6
What developers build with this provider.
E-Commerce Price Monitoring
Extract product names, prices, and availability from e-commerce sites for competitive intelligence and price tracking.
Job Board Aggregation
Collect job listings, requirements, and company information from multiple job boards into a unified dataset.
Social Media Content Harvesting
Extract posts, metrics, and profile data from social media platforms for analysis and reporting.
Document Data Extraction
Parse invoices, contracts, and reports in PDF format to extract structured data for downstream processing.
AI Agent Web Access
Enable AI agents to access and extract data from any website as part of automated research and task completion workflows.
Lead Generation
Automate the collection of contact information, company data, and other business intelligence from public web sources.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API