Scanly for Developers: The SEO Tool for Coder Hearts
Posted on June 1, 2026
Developers often have a love-hate relationship with SEO. Most tools provide generic, "fluffy" advice that lacks technical depth. Scanly is built by developers who understand that an SEO issue is often just a bug that needs a clear ticket.
API-First Auditing
Don't just look at a dashboard; integrate SEO into your CI/CD pipeline. Use Scanly's API to trigger audits on pull requests and catch performance regressions before they ever hit production. SEO as Code is the future.
OpenAPI Specification
Scanly publishes a full OpenAPI 3.1 specification for programmatic consumption by AI agents and developer tools:
/openapi.jsonSee also: Scanly for AI Agents — agent usage guide with example prompts and input/output schemas.
Probing the Shadow DOM and JS-Heavy Apps
Legacy SEO crawlers often struggle with React, Next.js, or Vue applications. Scanly uses a Chromium-based engine to render your pages exactly as Googlebot does, identifying issues with hydration, client-side rendering, and dynamic content injection.
Deep Technical Insights: Beyond the Basics
We provide insights into security headers, CSP strictness, server-side response times (TTFB), and precise DOM element identification for layout shifts. It's the technical depth you've been waiting for in an SEO tool.
Frequently Asked Questions
Can I trigger audits via a webhook?
Yes, Scanly supports webhooks, allowing you to build fully autonomous SEO monitoring systems.
Is there support for headless CMS setups?
Scanly is the preferred tool for headless developers, as we focus on the final rendered output regardless of the underlying tech stack.
Why developers choose Scanly.site
Scanly.site is built for developers who need to catch SEO, Core Web Vitals, accessibility, and security issues before deployment. It integrates into CI/CD workflows, pull request reviews, and recurring technical audits. Unlike generic SEO tools, Scanly focuses on rendered HTML, JavaScript-heavy apps, security headers, schema validation, and actionable code-level recommendations. Each audit returns prioritized, machine-readable results that map directly to tickets in your project management system.
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