# AgentQL vs Browser Use

AgentQL records 13,100 monthly visits with -44% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing pricing. Browser Use records 1,206,376 monthly visits with +41.1% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [AgentQL](https://openaitools.app/tool/agentql) | [Browser Use](https://openaitools.app/tool/browser-use) |
| :--- | :--- | :--- |
| Website URL | https://agentql.com | https://browser-use.com |
| Categories | AI Agent, AI Web Scraping, AI API, AI Developer Tools | AI Agent, AI API, AI Browsers, Large Language Models (LLMs) |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 13,100 | 1,206,376 |
| MoM Growth Rate | -44% | +41.1% |
| Primary Market | United States | United States |
| Direct Visits | 5,279 | 625,168 |
| Review Score | 4.6 | 4.7 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## AgentQL

AgentQL, built by TinyFish, is a toolkit for connecting AI agents and applications to the open web. Its core idea is a declarative query language: you describe the shape of the data you need — for example product_name and product_price — and AgentQL locates those elements on any page, public or authenticated, without you maintaining fragile XPath or CSS selectors. Because it uses AI to understand page structure rather than fixed paths, the same query keeps working when a site is redesigned.

The product spans several surfaces. Python and JavaScript SDKs integrate with Playwright and headless browsers so you can drive real pages and extract structured data in one flow. A browser-extension debugger lets you iterate on queries live on any website, while a REST API (browserless option) retrieves public data from a URL without spinning up a browser. AgentQL also parses difficult PDF content such as tables, feeding documents into the same structured pipeline.

AgentQL targets teams building web agents, scraping pipelines, and data workflows. It offers a free tier for prototyping with a set number of API calls and remote-browser hours, then paid plans for higher throughput and concurrency, plus an enterprise option with managed datasets, dedicated cloud environments, and on-premise deployment.

**Pricing & Plans:** Free trial with 300 API calls and 1 hour of remote browser; Starter free tier (50 API calls/month, $0.02 per call after); Professional $99/month with 10,000 API calls, $0.015 per extra call and 500 remote-browser hours; Enterprise custom pricing with managed datasets and on-premise options.

- **Natural-language query language:** Describe the data you want in plain terms and AgentQL locates it, eliminating hand-written XPath, CSS selectors, and regex.
- **Self-healing selectors:** Queries keep returning consistent results despite dynamic content, layout changes, and page redesigns.
- **Python & JavaScript SDKs:** Integrate with Playwright and headless browsers to drive pages and extract structured data in a single workflow.
- **Browserless REST API:** Retrieve public data from any URL without launching a browser, ideal for scheduled server-side jobs.
- **PDF parsing & browser debugger:** Extract hard-to-reach tables from PDFs and fine-tune queries in real time with the browser extension.

**Strengths:** Removes maintenance burden of brittle XPath and CSS selectors; Self-healing queries tolerate page changes and dynamic content; Broad toolset: SDKs, REST API, browser extension, PDF parser; Transparent usage-based pricing with a usable free tier

**Limitations:** Usage-based API-call pricing can be hard to forecast at high volume; Requires developer skills; not a no-code scraping tool; Remote-browser hours are billed separately from API calls

[Profile (Markdown)](https://openaitools.app/tool/agentql.md)

## Browser Use

Browser Use frames an agent as two halves: a harness that decides what to do, and a browser that executes it. The harness reads the page, plans clicks and typing, and can fall back to raw JavaScript evaluation when needed; the browser is a real Chromium instance that renders pages exactly as a person would see them. You hand over an instruction like "buy trail shoes, size 42, under $120" and receive a result plus structured data.

The company publishes its benchmarks publicly, which is unusual in this category. Their stealth browsers are reported to get through on 90.5% of a 100-site test against several competitors, and their shopping agent completes 91.8% of 500 stores. The Browser Harness component is free and open source and is used as the browser tool inside Claude Code and Codex-style agents.

For teams that need to run at scale, Browser Use offers cloud or on-premise browsers, US or EU execution with EU runs staying in Frankfurt, SOC 2 Type II compliance, and HIPAA coverage on enterprise plans. Pricing is usage-based for the hosted services, with a small free credit to start.

**Pricing & Plans:** Freemium with usage-based paid tiers: web agents around $0.006 per task, stealth browsers around $0.02 per browser hour, and the Browser Harness free and open source. $1 in free credit on signup; enterprise and on-premise are contact-for-pricing.

- **Natural-language web agents:** Describe the task and get structured JSON back, handling multi-step flows behind logins without hand-written selectors.
- **Stealth cloud browsers:** Managed Chromium instances with residential IPs that are benchmarked for getting past bot detection and CAPTCHAs.
- **Browser Harness (open source):** A free, open-source harness that plugs into coding agents; benchmarked as the most token-efficient browser tool of the set tested.
- **Cloud or on-premise deployment:** Run browsers in your own network or in managed US/EU cloud regions, with EU data staying in Frankfurt.
- **Compliance and benchmarks:** SOC 2 Type II, HIPAA on enterprise plans, and public head-to-head benchmark results.

**Strengths:** Industry-leading benchmark results published openly; Open-source harness means no lock-in for local development; Usage pricing is granular and starts with a free credit; Enterprise-grade options: on-prem, EU residency, SOC 2 Type II

**Limitations:** Per-task and per-hour costs can add up quickly at high volume; Stealth browsing raises ethical and terms-of-service questions teams must handle; Cloud usage requires an API key and some engineering integration

[Profile (Markdown)](https://openaitools.app/tool/browser-use.md)

## Frequently Asked Questions

### How do AgentQL and Browser Use compare in monthly traffic?

AgentQL has 13,100 monthly visits, while Browser Use has 1,206,376. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AgentQL has a month-over-month growth rate of -44%; Browser Use has +41.1%.

### How does pricing compare?

AgentQL: Freemium, Free Trial, Paid, Contact for Pricing. Free trial with 300 API calls and 1 hour of remote browser; Starter free tier (50 API calls/month, $0.02 per call after); Professional $99/month with 10,000 API calls, $0.015 per extra call and 500 remote-browser hours; Enterprise custom pricing with managed datasets and on-premise options. Browser Use: Freemium, Paid, Contact for Pricing. Freemium with usage-based paid tiers: web agents around $0.006 per task, stealth browsers around $0.02 per browser hour, and the Browser Harness free and open source. $1 in free credit on signup; enterprise and on-premise are contact-for-pricing.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Features a massive marketplace of pre-built web scrapers and automation actors, but less focused on autonomous custom LLM agent frameworks. | [.md](https://openaitools.app/tool/apify.md) |
| 2 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Excels at converting websites into clean LLM-ready markdown instantly, but does not provide interactive multi-step browser agent execution. | [.md](https://openaitools.app/tool/firecrawl-dev.md) |
| 3 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | Provides cloud browsers and web automation APIs, but lacks a native open-source Python framework for local developer agent building. | [.md](https://openaitools.app/tool/tinyfish.md) |
| 4 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search API and crawler built for AI agents | [.md](https://openaitools.app/tool/exa-ai.md) |
| 5 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Web data infrastructure for scraping, proxies, and AI-ready datasets | [.md](https://openaitools.app/tool/bright-data.md) |
| 6 | [Browserbase](https://openaitools.app/tool/browserbase) | 283,597 | -8% | Freemium | Provides managed cloud infrastructure for browser agents, but lacks the specific local open-source framework code of Browser Use. | [.md](https://openaitools.app/tool/browserbase.md) |
| 7 | [Browserless](https://openaitools.app/tool/browserless) | 185,543 | -21.2% | Freemium, Paid, Contact for Pricing | Delivers scalable headless browser hosting via APIs, but requires manual script building rather than autonomous agent orchestration. | [.md](https://openaitools.app/tool/browserless.md) |
| 8 | [Thor Data](https://openaitools.app/tool/thor-data) | 181,966 | -3.5% | Free Trial, Paid | Proxies and web data APIs for scraping and AI pipelines | [.md](https://openaitools.app/tool/thor-data.md) |
| 9 | [ScrapeGraphAI](https://openaitools.app/tool/scrapegraphai) | 91,362 | -25.7% | Freemium, Paid, Contact for Pricing | Turn any website into structured JSON with a prompt instead of selectors | [.md](https://openaitools.app/tool/scrapegraphai.md) |
| 10 | [Scrapingdog](https://openaitools.app/tool/scrapingdog) | 89,683 | -15% | Free Trial, Paid | Web scraping API with built-in proxies, browsers, and anti-bot handling | [.md](https://openaitools.app/tool/scrapingdog.md) |

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Source: https://openaitools.app/compare/agentql-vs-browser-use

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
