Intermediate
macOS / Linux / Windows (WSL2) / Docker / Self-hosted
Estimated time: 20 min

OpenClaw Browser Automation Timeouts: Fix 'browser control service timeout'

Stabilize OpenClaw browser runs (Playwright) when they time out: verify the browser service is alive, increase timeouts where appropriate, reduce page complexity, and fix common headless/container dependencies.

Implementation Steps

Confirm the gateway is healthy, then isolate whether timeouts are caused by a dead browser service vs a slow page.

When browser automation fails, it often looks like “OpenClaw is slow”, but there are actually two different timeout classes:

  1. The browser control service is not reachable / crashed / wedged.
  2. The browser is alive, but the page/action is slow (heavy site, bot protection, infinite loading, large JS bundle).

This guide helps you separate those causes and apply fixes that improve reliability long-term.

If you’re seeing a URL encoding bug (Chinese query params), use:


What this guide helps you finish

By the end of this guide, you should be able to answer three practical questions:

  • Is the browser control service itself healthy?
  • Is this timeout caused by one heavy site or by the whole runtime environment?
  • What change should you make first so the next run leaves evidence instead of hanging again?

That is the real job here. Not “make timeouts bigger,” but turn browser runs into something you can diagnose and trust.

Who this is for (and not for)

Use this guide if:

  • Playwright/browser actions time out intermittently,
  • the same workflow works once and then flakes,
  • browser runs are happening in Docker, WSL2, or a low-memory self-hosted environment,
  • or cron/browser automation keeps failing without leaving a clear artifact trail.

This is not the main page for:

  • one specific site that blocks automation on purpose,
  • a URL encoding bug,
  • or a gateway that is broadly unhealthy before the browser even starts.

Before you raise timeouts: collect these four facts

Before changing any timeout values, get four facts first:

  1. Does a one-URL, one-action repro fail on the same host?
  2. Do openclaw status --deep and the gateway logs show a healthy browser service?
  3. Is this environment constrained by Docker/WSL2 memory, /dev/shm, fonts, or sandboxing?
  4. Does the failing run leave any evidence at all (HTML, screenshot, extracted JSON, logs)?

If you do not know these four things, timeout tuning is mostly guesswork.


0) Start with the truth sources: status + logs

On the gateway host:

openclaw status --deep
openclaw logs --follow

If OpenClaw is generally unstable (restarting, low disk, config invalid), fix that first:


1) Reproduce with the smallest possible run

Before changing timeouts, shrink the repro:

  • One URL (prefer a lightweight, static page)
  • One action (load page, extract title)
  • One run

Why: if even a simple page times out, you have an environment/service problem. If only complex sites time out, you have a site complexity / bot protection / performance issue.


2) Common environment causes (and symptoms)

2.1 Docker/WSL2 headless dependencies and sandbox constraints

Symptoms:

  • browser launches inconsistently
  • random timeouts across many sites

Fixes:

  • Ensure the runtime image includes required Playwright/Chromium deps.
  • Avoid over-restrictive container sandboxes that prevent the browser from launching.
  • Increase shared memory (/dev/shm) for Chromium-heavy pages (common in containers).

If you’re already on Docker, read:

2.2 Low memory (OOM) looks like timeouts

Heavy sites can OOM the browser process and present as “timeout”.

Check your platform logs and consider:

  • higher memory limit
  • reducing concurrent browser runs

2.3 DNS / egress instability

If many outbound requests hang, “timeout” is sometimes just network egress failure.

Use the same host to curl the target domain and verify DNS resolves consistently.


3) Timeouts: increase only after fixing the root cause

If you increase timeouts too early, you convert crashes into “slow stuck jobs”.

Recommended approach:

  1. Fix environment stability first (deps/memory/egress).
  2. Add a modest timeout increase for known heavy pages.
  3. Add bounded retries with evidence output (log the URL, attempt count, and result).

4) Make browser automation safe for cron

Browser automation + cron becomes reliable when each run:

  • writes a timestamped artifact (HTML snapshot, extracted JSON, screenshot)
  • sends a short status message (success/failure + artifact path)
  • fails fast and leaves evidence

Related:


Verification checklist after the fix

Do not call this solved just because one retry worked once.

Treat the timeout issue as fixed only when:

  • a minimal repro completes on demand,
  • one heavier real target also completes with the new settings,
  • the run leaves evidence artifacts you can inspect,
  • logs show whether the delay was service startup, page load, or action execution,
  • and a scheduled run can fail fast without wedging later browser work.

The goal is a browser path that is observable, not just temporarily lucky.

What to change first when browser runs still feel flaky

Use this order:

  1. Fix environment instability (deps, memory, sandbox, DNS).
  2. Reduce page complexity or narrow the repro.
  3. Add evidence artifacts and bounded retries.
  4. Only then raise timeout budgets for genuinely heavy pages.

That order preserves signal. Reversing it usually turns one bad root cause into a slower, harder-to-debug queue.


5) Dedicated fix page

If you see the specific error string, also check:

Verification & references

  • Reviewed by:CoClaw Editorial Team
  • Last reviewed:March 14, 2026
  • Verified on: macOS · Linux · Windows (WSL2) · Docker · Self-hosted

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