Start with a structured Playwright trace, then add video only when a visual record is useful. A trace preserves action-level context such as DOM snapshots, screenshots, network activity and console output. Video preserves the pixels a person would have seen. Action recorders generate starter automation code, while deterministic replay browsers attempt to reproduce execution itself. These are different artifacts, with different fidelity, cost and operational risks.
Choose the replay outcome before choosing a recorder
“Session replay” is an outcome, not a single file format. Define what an engineer must be able to do with a captured run:
| Outcome | Primary artifact | What it preserves | Best use |
|---|---|---|---|
| Diagnose a failed test | Structured trace | Actions, DOM snapshots, screenshots, network activity and console details | Root-cause analysis and bug reports |
| Show what a user saw | Session video | A visual sequence of browser frames | Visual audits, demos and human review |
| Seed a test | Action recording | Recorded interactions translated into automation code | Authoring a first draft of a Playwright flow |
| Reproduce execution | Deterministic replay | Browser-level sources of nondeterminism and execution state | Investigating timing-sensitive or irreproducible behavior |
Playwright documents traces and their Trace Viewer separately from WebM video capture: a trace is the diagnostic record, while video is the visual companion (Tracing | Playwright MCP tools; Video Recording | Playwright MCP tools). Do not treat a video as a replacement for a trace when you need to inspect a failed action or its network requests.
A practical architecture
Capture at the test-run boundary
Start capture immediately before the scenario that matters and stop it in a finally block. This keeps unrelated setup out of the artifact and guarantees that a failed test still produces evidence. Give every run a stable ID and store the trace, video, test name, commit, browser project, start time and result under that ID.
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Keep artifacts correlated, not merged
Keep trace.zip and the WebM file as separate objects. A small manifest can associate them without changing either format:
{
"runId": "checkout-2026-09-29T10-15-22Z-8f31",
"test": "checkout with expired card",
"status": "failed",
"trace": "trace.zip",
"video": "video.webm",
"commit": "4d2a9b1"
}The cited Playwright documentation describes how to create the artifacts, but does not prescribe a correlation schema. Choose one that your CI, object storage and bug tracker can all query.
Decide what may be recorded
Authenticated sessions can contain passwords, tokens, personal data and payment information. Before enabling capture, specify field masking, secret handling, who can read artifacts, retention, deletion and rules for sharing a trace outside the team. Browser attachment and recording APIs do not establish those controls for you.
Build a trace-first replay with Playwright
Prerequisites
- Node.js and a Playwright project with its browser installed.
- A test account and data that can be safely captured, or a masking strategy.
- Writable artifact storage in the CI worker.
Complete Node.js example
This example records DOM snapshots, screenshots, source files, network activity and console information around one scenario, then saves a trace that can be opened in Trace Viewer.
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import { chromium } from 'playwright';
const runId = `checkout-${new Date().toISOString().replace(/[:.]/g, '-')}`;
const browser = await chromium.launch();
const context = await browser.newContext({
recordVideo: { dir: `artifacts/${runId}` }
});
const page = await context.newPage();
await context.tracing.start({
name: runId,
screenshots: true,
snapshots: true,
sources: true
});
try {
await page.goto('https://example.com/checkout', { waitUntil: 'domcontentloaded' });
await page.getByLabel('Email').fill('test@example.com');
await page.getByRole('button', { name: 'Continue' }).click();
await page.getByText('Order summary').waitFor();
} finally {
await context.tracing.stop({ path: `artifacts/${runId}/trace.zip` });
await context.close();
await browser.close();
}Replace the URL and locators with your application’s flow. The trace stop call belongs before context shutdown; otherwise the recorder may not flush its data. The video file is finalized when the context closes.
Inspect the trace
Open the resulting ZIP in Playwright’s Trace Viewer. Use the action timeline to select the failed step, then inspect its DOM snapshot, screenshot, network requests and console output. This lets you distinguish, for example, a locator mismatch from a request that returned an error without replaying the whole test.
Capture selectively in CI
Tracing every passing test can consume substantial storage. A common policy is to trace every retry and failure, and sample successful runs. Keep the policy in the test runner rather than in application code so it can change per pipeline. If you need to compare a flaky test, capture all attempts for that test and include the attempt number in the run ID.
Add video when pixels are part of the evidence
Playwright MCP documents WebM session video independently of tracing (Video Recording | Playwright MCP tools). Video answers “what did a person see?” but does not expose the trace’s action-level and network context. Use it for visual regressions, animation timing, support hand-off or an audit trail, and retain the trace for diagnosis.
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const context = await browser.newContext({
recordVideo: {
dir: `artifacts/${runId}`,
size: { width: 1440, height: 900 }
}
});Choose a fixed viewport when comparing videos; otherwise responsive layout changes can look like application regressions. Store the video path in the same manifest as the trace. Do not infer a universal file-size or CPU cost: those depend on duration, viewport, frame rate, compression and page content.
Use action recording to author tests
When the goal is to turn a demonstrated interaction into a test, use an action recorder rather than a diagnostic trace. Playwright MCP’s debugging tools document recording interactions and returning Playwright code (Debugging Tools | Playwright MCP tools). Chrome DevTools Recorder can record, replay and measure user flows (Record, replay, and measure user flows).
- Open the recorder in the browser’s developer tools and start a named flow.
- Perform the smallest realistic user journey, including navigation and meaningful assertions where the tool supports them.
- Export the generated flow or Playwright code.
- Replace brittle selectors, add explicit assertions and remove incidental clicks.
- Run the edited test repeatedly against clean data before putting it in CI.
Generated code is a starting point, not proof that the flow is robust. Review selectors, waits, authentication, test isolation and cleanup. A recorder captures what happened once; it does not automatically encode the business rule that made the action correct.
When you need deterministic replay
Deterministic replay is a different architecture from Playwright tracing. Replay describes Replay Browser as a Chromium fork that records browser activity deterministically by hooking library calls—including memory allocation, sockets, files and timers—rather than instrumenting JavaScript (Replay Browser).
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Evaluate it only when reproducing execution is a core requirement, such as a race condition that ordinary traces can document but not reproduce. Assess:
- Whether the target browser, operating system and application are supported.
- How captured sessions will be stored, accessed and deleted.
- Whether replay fidelity justifies operating a separate browser build.
- How much runtime overhead your workload tolerates.
Replay’s documentation identifies Chromium 108 for its documented build and states that CPU-heavy pages can run more slowly than stock Chrome because baseline V8 JIT is disabled. Confirm the installed build with the vendor’s documented replayio info command before making a version claim. Do not transfer that performance trade-off to ordinary Playwright traces.
Attach to an existing browser with CDP
If another process launches Chrome—for example, a remote test harness—Playwright’s BrowserType API documents attaching through the Chrome DevTools Protocol (BrowserType API).
import { chromium } from 'playwright';
const browser = await chromium.connectOverCDP('http://127.0.0.1:9222');
const context = browser.contexts()[0];
const page = context.pages()[0];
await context.tracing.start({ screenshots: true, snapshots: true, sources: true });
try {
await page.getByRole('button', { name: 'Refresh' }).click();
} finally {
await context.tracing.stop({ path: 'artifacts/cdp-trace.zip' });
await browser.close();
}CDP attachment is an integration route, not a privacy design. The reviewed API documentation does not establish sanitization, retention, access-control or compliance defaults. Define and verify those controls around the process that owns the browser.
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Compare the approaches before standardizing
| Approach | Fidelity | Overhead and complexity | Use it when |
|---|---|---|---|
| Playwright trace | Structured DOM, screenshots, network and console context | Usually the most practical diagnostic option; storage grows with captured detail | You need to explain failures |
| WebM video | Pixels and timing visible to a person | Additional encoding and storage; weak action-level context | Visual evidence matters |
| Action recorder | Recorded interaction sequence and generated code | Low barrier to authoring, but generated selectors require review | You are creating a first test draft |
| Deterministic replay browser | Execution-level reproduction | Highest operational complexity and a documented CPU trade-off in Replay Browser | Ordinary traces cannot reproduce the defect |
No apples-to-apples benchmark is established for these options. Measure your own page mix, artifact retention period and CI concurrency rather than assuming one format is universally faster or cheaper.
Or skip the browser setup
For a single visual checkpoint, you can use ScreenshotNeo instead of launching and maintaining a capture browser. It is a website screenshot API and MCP server; it is complementary to session traces, not a replacement for action-level diagnostics.
One request returns a PNG, JPEG, WebP or PDF:
curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webpSee the ScreenshotNeo API documentation for all parameters. The same call from Python is:
import requests
r = requests.get("https://api.screenshotneo.com/v1/shot", params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"}, timeout=90)
open("shot.webp", "wb").write(r.content)And from Node.js:
const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);- Cookie and consent banners, newsletter popups and chat widgets are removed before the shot; each cleanup step can be turned off.
- Bot checks, blank pages, timeouts, failed loads and cache hits are not billed. Response headers report the page verdict and whether the request was billed.
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The trace ZIP is missing or empty
- Cause: tracing was never started, stopped after the context was closed, or the worker could not write the artifact.
- Fix: start tracing after creating the context, stop it in
finally, close the context only afterward, and verify the artifact directory is writable.
The video file is zero bytes or cannot be opened
- Cause: the browser context was not closed, so video finalization did not run.
- Fix: call
await context.close()before the browser closes and upload the completed file, not a still-open path.
The trace contains secrets
- Cause: the scenario used a real account or entered sensitive values while snapshots and network details were enabled.
- Fix: use synthetic data, isolate credentials, define masking and retention rules, and restrict artifact access before recording production-like sessions.
The generated test fails on the next run
- Cause: the recorder captured incidental selectors, timing or state rather than a stable business interaction.
- Fix: replace selectors with role- or label-based locators where appropriate, add assertions, control test data and wait for observable conditions instead of arbitrary delays.
CDP attachment finds no page
- Cause: the endpoint is not the browser’s exposed debugging address, or the target context has not created a page.
- Fix: launch the browser with remote debugging enabled, connect to the correct endpoint, inspect
browser.contexts()and wait for the target page before starting capture.
Operational checklist
- Write down whether the goal is diagnosis, visual evidence, test generation or deterministic reproduction.
- Assign a run ID and correlate every artifact through a manifest.
- Capture only the required interval and retain artifacts for a defined period.
- Test failure paths so traces and videos are flushed when assertions throw.
- Review generated code and selectors before committing them.
- Specify masking, access, deletion and sharing rules for authenticated sessions.
- Measure storage and runtime on your own CI workload before changing the default capture policy.
Frequently Asked Questions
Can one automation run use more than one replay format?
Yes. A trace, WebM video and an action-recording export are independent artifacts, so a run can retain whichever combination serves diagnosis, visual review and authoring. Keep them associated with one run ID rather than converting one format into another.
Does a replay artifact establish that a user journey is correct?
No. Replay records or reproduces activity; correctness still requires assertions, controlled test data and review of the business outcome.
The Bottom Line
For most automation teams, make Playwright tracing the default diagnostic record, add WebM for human-readable visual evidence, use action recording only as a reviewed test-authoring aid, and reserve deterministic replay browsers for defects that ordinary traces cannot reproduce.
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