Crawlora vs AgentQL

Pre-built endpoints vs. a query language you apply yourself

Crawlora's catalog is pre-built: call a documented endpoint for a named platform and get a fixed JSON schema back, no query to write. AgentQL flips that — you write a natural-language-like query describing the fields you want, and it runs that query against whatever page you point it at via Playwright. That makes AgentQL more general-purpose for arbitrary or long-tail sites, and Crawlora faster to integrate for the 60+ platforms it already documents.

Self-healing selectors solve drift, not access

AgentQL's core pitch is replacing brittle XPath/CSS selectors with AI that re-locates elements when a page's layout changes — a real developer-experience win for pages that redesign often. Like most selector-level self-healing, it addresses parser drift, not hard anti-bot access; AgentQL's own homepage carries no geo-targeting, proxy-network, or anti-detect messaging. Crawlora's managed proxy routing targets the access problem directly behind its documented endpoints.

A browser-debugger extension is a genuinely useful dev-experience feature

AgentQL ships a browser extension for testing and refining queries live on the actual page — useful for iterating on extraction logic before shipping it. Crawlora doesn't need an equivalent because there's no selector or query to author: you call the endpoint and get the documented schema back.

Metered by API calls and browser hours, not proxy/unblocker capacity

AgentQL's pricing (Starter free tier, $99/mo Professional, custom Enterprise) is denominated in API calls and remote-browser hours — the same unit shape as a browser-automation vendor, not an anti-detect/proxy vendor. Crawlora's credit pool spans documented endpoints where proxy routing, retries, and anti-bot handling already live behind the call.

Two different companies behind one brand, post-Series A

AgentQL is built by TinyFish, Inc., which raised a $47M Series A (Aug 2025, led by ICONIQ Growth) and now markets large enterprise managed-agent deployments — Google Hotels, DoorDash, ClassPass — under the TinyFish brand rather than AgentQL itself. If you're evaluating AgentQL as a self-serve developer tool, that's a different product tier than TinyFish's enterprise offering.

Responsible public web data access

Crawlora is designed for responsible public web data workflows. It should not be used for private or protected data, and no comparison page should be read as a guarantee that every target will succeed. Review provider terms, target-site rules, and your own compliance requirements before production use.

• Use supported endpoints and documented request parameters.
• Treat blocked, challenged, or unusable upstream responses as workflow signals.
• Review Crawlora Terms and each provider's official documentation before launch.