Check a URL with PageSpeed Insights data: real-user Core Web Vitals when available, plus lab scores.
A Core Web Vitals checker queries Google's PageSpeed Insights API and returns field data for LCP, INP and CLS when Chrome has enough real-user data for the URL, plus lab metrics from Lighthouse. Field data is what Google uses for the page experience signal.
This tool fetches the address you enter once, from our server, and reports what a crawler would receive. The URL is not stored; only a short-lived rate-limit counter is kept. Results show the page at the moment of the check and can differ from what a logged-in browser or a bot with different headers sees.
Reads the real page at the moment you run it, with every redirect followed and shown.
Each finding says what it means and what to do next, not just a raw value.
Copy the output straight into your CMS, spreadsheet, ticket or client report.
Free, with no signup. Fair-use limits keep the tool fast for everyone.
Public page.
Mobile is usually the stricter test.
Fix the metric with the largest gap first.
Read the field data section first, since it reflects real Chrome users and is the data Google uses for page experience. Compare LCP, INP and CLS against the published good thresholds: LCP of 2.5 seconds or less, INP of 200 milliseconds or less and CLS of 0.1 or less, judged at the 75th percentile. Then use the lab metrics from Lighthouse to diagnose causes. Slow LCP usually points to a heavy hero image, slow server or render-blocking resources. Poor INP points to long JavaScript tasks. High CLS points to images without dimensions, late-loading ads or fonts. Fix the worst metric first, deploy, and allow time for field data to update.
Chasing a perfect lab score while ignoring field data is a frequent mistake, because the lab run is a single simulated test. Changes also take weeks to show in field data, which covers a rolling 28-day window, so do not judge a fix after a day. Testing only the homepage hides problems on templates that get most traffic. Comparing mobile and desktop numbers without choosing the right device leads to wrong conclusions, since most sites should prioritise mobile. Another mistake is optimising by removing useful features instead of fixing the cause. Remember that low-traffic pages may have no field data at all, so test the group or origin.
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