To retry a failed scheduled website screenshot, configure a bounded retry around the entire capture job—in the script, workflow, or scheduler—not just around a visual screenshot assertion. First check whether the scheduler started the job, then classify the failure, retry only plausible transient errors, and verify the saved image before reporting success.
Understand what needs retrying
A scheduled capture has two separate stages: the scheduler starts a job, and browser automation visits the page and saves an image. A retry of a visual assertion inside a test is not the same as rerunning that scheduled job.
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Playwright’s toHaveScreenshot() assertion waits until two consecutive page screenshots match before comparing the final screenshot with the baseline. Its timeout controls how long that assertion can retry; it does not establish a general policy for rerunning a cron command or scheduled workflow. See the Playwright PageAssertions reference.
The Tool Desk
Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Playwright can capture screenshots directly to a file, including full-page images. But a failure to start the browser, navigate, capture, or write the file must be surfaced by the surrounding script or scheduler, which is responsible for starting another attempt. See Playwright screenshots.
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Diagnose the failed scheduled run first
Confirm the trigger ran
Open the scheduler’s run history and logs. If no run exists, investigate the trigger before debugging browser automation. For GitHub Actions, scheduled events can be delayed during high load, and some queued jobs can be dropped; a missing run may therefore be a trigger problem rather than a failed capture. See GitHub’s schedule event documentation.
Classify the failure
Record the original error, the scheduled occurrence, and the attempt number. Useful diagnostic categories include:
- Scheduler or runner startup failure.
- Browser launch failure.
- Navigation or page-readiness timeout.
- Screenshot generation failure.
- File-writing or artifact-upload failure.
This is a practical way to organize logs, not a taxonomy prescribed by Playwright. The category helps determine whether another attempt has a reasonable chance of succeeding.
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Add a bounded retry around the capture job
Put the retry at the layer that runs the capture: a wrapper script, workflow, or scheduler policy. The retry should rerun the complete operation, including browser launch, navigation, capture, and output validation, so a fresh attempt is not using partially failed state.
Decide which errors are retryable
- Usually plausible transient failures: temporary network errors, occasional browser startup problems, or an upstream service timeout.
- Usually configuration problems: invalid credentials or URLs, missing dependencies, deterministic selector errors, and write-permission failures. Fix the cause instead of repeating the same failing operation.
Use a small, finite attempt limit and increasing delays. Playwright’s reviewed documentation does not prescribe a universal retry count or delay for scheduled captures. Set limits with the schedule cadence and capture cost in mind; never retry indefinitely.
Keep attempts separate and preserve the last good image
Name outputs using the scheduled occurrence and, when useful, the attempt number. Save each attempt to a temporary path, check that the file exists and is nonempty, and promote it to the final artifact only after validation. This avoids a failed attempt overwriting the last known-good image. These are implementation recommendations, not Playwright defaults.
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Fail honestly after the final attempt
Return a failed job status if capture or writing still fails. Report success only after the expected image is present and usable. Keep the attempt logs or diagnostic artifacts so retries do not conceal a recurring problem.
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If one capture can still be running when the next schedule fires, choose whether the newer run may replace an older pending run or whether every scheduled occurrence must be retained. GitHub Actions workflows can run concurrently by default. A concurrency group can limit active runs; by default, a new pending run can replace an existing pending one. GitHub documents a queue option when pending runs need to wait instead. See GitHub’s concurrency documentation.
Choose the behavior that matches the job’s purpose: a current-state monitor may prefer the newest capture, while an audit trail may require every scheduled occurrence. Check the workflow’s concurrency behavior against that requirement rather than assuming every cron tick will produce a separate completed artifact.
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Use the right retry for screenshots and visual tests
Use a job-level retry when the capture operation itself failed and another complete run may succeed. Use Playwright’s auto-retrying screenshot assertion when a test needs to wait for a page to settle before comparing it with an expected image. Its timeout is elapsed assertion-retry time, not a configured count of scheduled-job reruns.
For comparisons across runs, keep the browser and execution environment consistent where practical. Rendering can vary with operating system, browser version, settings, hardware, power source, and headless mode, so an image difference does not by itself prove that the website changed. Playwright describes these environment-related rendering differences in its visual comparisons documentation.
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Troubleshoot common retry failures
| Symptom | Likely area | What to check or do |
|---|---|---|
| No run appears at the scheduled time | Trigger or scheduler | Check run history and scheduler logs. For GitHub Actions, account for possible scheduled-event delays or dropped queued jobs under high load. |
| Every attempt fails at browser launch | Runner or browser setup | Read the launch error and verify runner availability and installed dependencies. Repeating a missing-dependency failure will not fix it. |
| Navigation repeatedly times out | Network or page readiness | Distinguish temporary network or upstream problems from a consistently unreachable URL or readiness condition. Retry only when the evidence suggests a transient issue. |
| Capture completes but no usable image is saved | Screenshot or file output | Check the original capture and write errors, permissions, and artifact upload. Validate a temporary output before promoting it to the final path. |
| A retry overwrites the last successful image | Output naming and promotion | Use occurrence- and attempt-specific temporary filenames; replace the final artifact only after a successful validation. |
| Two scheduled runs interfere | Concurrency policy | Set a deliberate concurrency or queue policy: replace stale pending work when only the newest state matters, or queue runs when every occurrence matters. |
| Visual test fails although the page appears unchanged | Assertion or environment drift | Check whether the page settled within the assertion timeout and whether browser or execution environment changes affected rendering. Do not treat assertion retries as a job-level retry policy. |
Or skip the browser setup
If you would rather call a hosted capture API than maintain browser setup, ScreenshotNeo returns a screenshot or PDF from one GET request. Scheduling and retries still belong to your scheduler; the API does not replace the job-level recovery policy described above. Its documentation covers the request options.
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For example, save a PNG for a target URL with cURL:
curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.png
Other supported examples:
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)
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 or consent banners, newsletter popups, and chat widgets are removed before the shot; each cleanup step can be turned off.
- Bot checks or CAPTCHAs, blank pages, timeouts, failed loads, and cache hits are not billed. Responses include page-verdict and billing headers.
- An MCP server provides screenshot tools for AI agents, including Claude, Cursor, and other MCP clients.
- The free plan includes 1,000 screenshots a month with no card; paid plans start at $5 for 3,000 screenshots.
Sign up for ScreenshotNeo’s free plan to try a scheduled capture without a card.
FAQ
Does Playwright automatically rerun a failed scheduled screenshot?
No. The screenshot assertion can retry while waiting for visual stability, but rerunning a failed scheduled capture must be configured in the surrounding job or scheduler.
Should every failure be retried?
No. Retry bounded, plausibly transient runtime failures. Correct invalid inputs, missing dependencies, deterministic selector problems, and permission errors at their source.
Quick Recap
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