AgentQL
AgentQL helps developers query live websites, documents, and browser elements with natural-language structured queries.
About AgentQL
AgentQL is a developer platform from Tiny Fish for connecting AI agents and data workflows to the live web. Its official homepage describes it as a suite of tools for connecting AI to the web, with a query language, parser, Python and JavaScript SDKs, REST API, browser debugger, playground, and remote browser capabilities. The main promise is not just another scraper: AgentQL lets developers describe the data or page element they need in a structured query, then use that query through Playwright-based SDKs or an HTTP API. That makes it most relevant when teams are tired of brittle XPath or CSS selectors but still need programmable, inspectable browser automation. A strong fit is an engineering or data team that needs to pull structured data from changing pages, test selectors on live sites, connect agents to web interfaces, or run extraction in a Python or Node.js pipeline. AgentQL is also useful when a workflow moves between page interaction and data extraction: for example, log into a site, navigate pagination, identify an element by prompt, and return JSON shaped by the query. Official docs say the REST API can query web pages and documents such as PDFs and image files, while the SDK docs emphasize Playwright integration and API-key setup. It is a weaker fit for teams that only need a simple no-code automation recipe, a fully managed industry dataset with no engineering work, or a crawler where every step must be deterministic and selector-based. Pricing should also be reviewed carefully. The official pricing page lists a free Starter plan, a $99 monthly Professional plan, and custom Enterprise terms, but API-call overages, remote-browser hours, rate limits, and concurrent-session needs can materially change cost. Security and privacy review matters because workflows may include customer data, browser sessions, authenticated pages, and third-party websites. AgentQL's privacy policy explains the categories of personal information it collects and states that the service uses safeguards but cannot guarantee complete security, so production buyers should verify data-handling and enterprise terms before using it for sensitive workflows.
Best for
Best use cases
Scraping product names, prices, and availability from a collection of e-commerce pages with one structured AgentQL query instead of hand-maintained selectors.
Connecting an AI agent to a dynamic website so it can find page elements, click through a form, and return structured data during a live workflow.
Testing a browser automation idea in the AgentQL debugger or playground before moving the query into a Python or JavaScript pipeline.
Extracting structured information from PDFs or image files through the REST API when the workflow does not need a full SDK integration.
Running a Playwright-based data pipeline with remote browser sessions when local browser infrastructure is inconvenient or hard to scale.
Compare before choosing
Compare against plain Playwright when your team mainly needs deterministic browser control and is comfortable maintaining selectors directly.
Compare against hosted scraping APIs such as Firecrawl or Browserbase when browser hosting, crawling depth, compliance controls, or extraction format are the main buying criteria.
Compare against workflow tools such as Zapier, Dify, LangChain, or LlamaIndex integrations when the job is to feed live web data into a larger agent or automation stack.
Compare against custom crawler infrastructure when request volume, anti-bot handling, data ownership, or enterprise deployment terms dominate the decision.
Features
Natural-language web queries
AgentQL queries let developers describe the elements or data they want and return results in a structured shape.
Playwright-based SDKs
Official Python and JavaScript SDKs integrate with Playwright for browser automation and data extraction.
REST API for extraction
The REST API can query web pages and documents, including PDFs and image files, from any language that can call HTTP.
Browser debugger and playground
Developers can test and refine queries before moving them into production scripts or agent workflows.
Remote browser sessions
AgentQL docs describe remote browser sessions with CDP access, streaming URLs, user-agent presets, and session cleanup.
Agent and workflow integrations
Official integration docs list ADK, AgentStack, Dify, LangChain, Langflow, LlamaIndex, MCP, and Zapier paths.
Structured output
Queries can shape extraction output so downstream pipelines receive predictable JSON-like data structures.
Pros
- Useful for teams that need live web data in AI agents without maintaining fragile selectors for every page change.
- Supports both SDK-based browser automation and REST-based extraction, giving developers more than one integration route.
- Official pricing includes a free entry point, making initial evaluation possible before moving to paid usage.
- Playwright integration lowers adoption friction for teams already using modern browser automation tooling.
- The official docs cover query language, quick start, SDK installation, REST API, integrations, and remote browser flows.
Cons
- Usage cost can rise with API-call overages, remote-browser hours, rate limits, and concurrent browser needs.
- Production workflows still require engineering judgment around website permissions, authentication, data quality, and failure handling.
- The privacy policy states that electronic transmission or storage cannot be completely guaranteed secure, so sensitive use cases need review.
- Teams wanting a purely no-code workflow may prefer automation builders or managed data providers instead of SDK-first tooling.
- AI-assisted querying can reduce selector maintenance but does not eliminate the need to test outputs against changing sites.
Pricing Plans
Free trial
- 300 free API calls
- 10 API calls per minute
- 1 hour of remote browser time
- 1 concurrent remote browser session
- Community and email support
- Full developer-tool access
Starter
- 50 free API calls per month
- $0.02 per API call after the included limit
- 10 API calls per minute
- 10 included remote-browser hours
- $0.12 per additional remote-browser hour
- 5 concurrent remote browser sessions
Professional
- 10,000 included API calls per month
- $0.015 per API call after the included limit
- 50 API calls per minute
- 500 included remote-browser hours
- $0.10 per additional remote-browser hour
- 100 concurrent remote browser sessions
- Priority email support
Enterprise
- Fully managed website and document data solutions
- Ready-to-use datasets
- Dedicated cloud environment
- On-premise deployment option
- 24/7 premium support
- Dedicated account manager
* Pricing information is for reference only. Please refer to the latest announcement on AgentQL's official website.