Page Speed Analyzer

Page speed directly impacts user experience, conversion rates, and search engine rankings, yet many websites suffer from performance problems that repel users and damage SEO visibility. Page Speed Analyzer measures comprehensive performance metrics including page load time, Core Web Vitals indicators, and resource-level performance data, providing the insights needed to optimize websites effectively. SEO agencies use this data to identify performance bottlenecks affecting client search rankings. Web developers use detailed reports to optimize images, reduce JavaScript bloat, and improve server response times. UX teams analyze load time distributions to understand how page speed impacts user engagement across different devices and networks. The actor provides structured JSON output suitable for integration into performance dashboards, monitoring systems, and continuous optimization workflows.

What It Does

Page Speed Analyzer loads each webpage in a headless browser environment, measuring how the page renders and becomes interactive from the user's perspective. The actor measures first contentful paint, indicating when the browser first renders visible content. It tracks largest contentful paint, measuring when the page's largest visual element finishes loading, directly impacting perceived performance. The actor calculates cumulative layout shift, quantifying unexpected layout changes that frustrate users. It measures first input delay, evaluating how responsive the page is to user interaction. The actor captures total page load time, time to interactive, and complete page rendering time. Resource-level metrics include individual image load times, script execution duration, stylesheet processing time, and third-party resource loading. The actor measures bandwidth consumption, request count, and request waterfall data. Memory usage and DOM node count indicate code complexity and potential optimization opportunities.

Who Uses This

SEO agencies analyze client website performance, identifying page speed as a ranking factor and providing optimization recommendations. Performance marketers use load time data to estimate impact on conversion rates and justify performance optimization investments. Web developers integrate the actor into continuous integration pipelines, failing builds if pages exceed performance budgets. E-commerce teams analyze page load impact on conversion funnels, understanding how each second of delay affects revenue. Mobile app teams use page speed data to optimize in-app web views and embedded content. UX researchers analyze loading time perception and its relationship to user satisfaction. Developers building performance-critical applications like trading platforms or real-time collaboration tools rely on detailed metrics to identify bottlenecks.

What You Get Back

Page Speed Analyzer returns comprehensive performance metrics in structured JSON format. Core Web Vitals include Largest Contentful Paint (LCP) in milliseconds, First Input Delay (FID) in milliseconds, and Cumulative Layout Shift (CLS) as a unitless score. Overall performance scores range from zero to one hundred, with breakdowns by category including performance, accessibility, best practices, and SEO. The response includes First Contentful Paint (FCP) timing, Speed Index measuring visual completeness over time, and Time to Interactive (TTI) indicating when the page becomes fully responsive. Resource metrics provide load times for images, stylesheets, scripts, and fonts, broken down by request type. Network information includes total bytes transferred, request count, and bandwidth consumption. Detailed timing breakdowns show DNS lookup, TCP connection, TLS negotiation, and server response time. Performance opportunities and diagnostics suggest specific optimization actions with estimated savings.

Comparison to Alternatives

Google PageSpeed Insights provides useful metrics but lacks automation and detailed resource-level data. WebPageTest is excellent for detailed analysis but lacks APIs for integration with other systems. Lighthouse provides performance scoring but requires browser automation setup. Commercial monitoring tools often cost hundreds monthly and bundle unnecessary features. Page Speed Analyzer provides comprehensive metrics, programmatic APIs suitable for integration with dashboards and CI/CD systems, and affordable pricing for both one-off audits and continuous monitoring. The actor returns structured JSON immediately ready for storage and analysis, avoiding manual transcription and interpretation of results. Automated scheduling enables ongoing performance monitoring without manual effort.

Sample JSON Output

{
  "url": "https://example.com",
  "checkedAt": "2026-03-28T14:22:15Z",
  "metrics": {
    "loadTime": 2450,
    "firstContentfulPaint": 580,
    "largestContentfulPaint": 1250,
    "firstInputDelay": 45,
    "cumulativeLayoutShift": 0.08,
    "timeToInteractive": 2100,
    "speedIndex": 1850
  },
  "resources": {
    "totalRequests": 58,
    "totalBytes": 2850000,
    "images": {
      "count": 23,
      "bytes": 1850000,
      "loadTime": 1200
    },
    "scripts": {
      "count": 12,
      "bytes": 650000,
      "loadTime": 850
    },
    "stylesheets": {
      "count": 5,
      "bytes": 280000,
      "loadTime": 200
    }
  },
  "scores": {
    "performance": 78,
    "accessibility": 92,
    "bestPractices": 88,
    "seo": 95
  },
  "opportunities": [
    {
      "title": "Defer offscreen images",
      "savings": 450000
    }
  ]
}

Use Cases

E-commerce companies analyze product page load times, optimizing images and resources to reduce bounce rates and maximize conversion. SaaS platforms monitor application performance across global regions, identifying latency problems that impact user experience in specific geographic areas. News websites analyze article page performance, ensuring fast load times capture reader attention. Mobile-first businesses prioritize performance optimization, understanding that users on slower connections abandon slow pages. Content delivery networks measure effectiveness by analyzing page load improvements after CDN implementation. Performance consultants use detailed metrics to justify optimization investments, demonstrating ROI to clients through load time reductions and projected conversion improvements.

Pricing

Page Speed Analyzer costs five dollars per one thousand pages analyzed, with a minimum charge of one dollar per actor run. Analyzing a single page costs approximately one dollar. Analyzing one hundred pages costs approximately fifty cents. Analyzing five hundred pages costs approximately two dollars and fifty cents. Analyzing one thousand pages costs approximately five dollars. Most performance audits analyze between twenty and two hundred pages, with costs between twenty cents and one dollar. Enterprise customers continuously monitoring thousands of pages monthly negotiate volume discounts or use dedicated accounts. Daily monitoring of one hundred key pages costs approximately one hundred fifty dollars monthly, enabling trend analysis and ongoing optimization tracking.

FAQ

What devices are measured? By default, pages are measured on desktop environments. Mobile measurements and custom device configurations are not currently available. Does the actor test with cached data? No, each run simulates a fresh visitor with an empty cache, measuring cold load time. What about JavaScript rendering? The actor waits for pages to fully render, including JavaScript execution. Does the actor measure all resource types? Primary resources are measured, though some third-party analytics and tracking pixels may not be captured. How is page speed impacted by network throttling? Current measurements use standard network speeds; throttled network measurements are not available. Can you measure single page application interactions? Yes, the actor can wait for SPAs to fully initialize and measure interaction latency. Are results compared against industry benchmarks? No, results show absolute metrics without comparison to industry standards. What about A/B testing variations? The actor measures a single page version without support for A/B test comparison.