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Use Amazon EventBridge Scheduler to invoke an AWS Lambda function on a one-time or recurring schedule. The function runs a compatible headless browser, captures the page, then uploads the image to durable storage such as Amazon S3. Scheduler handles the timer; your code still needs to manage browser compatibility, timeouts, duplicate deliveries, storage, and failure monitoring.
Choose a schedule that matches the capture job
EventBridge Scheduler supports one-time schedules and recurring schedules defined with rate or cron expressions. Use a rate expression for an elapsed interval, such as every 15 minutes, and cron for calendar-style timing. Scheduler also supports time zones and daylight-saving adjustments. If you enable a flexible time window, an invocation may occur within that window rather than at its opening instant.
Do not treat a scheduled time as an exact-second guarantee. AWS says invocations can occur at different seconds within the scheduled minute; its examples include hourly invocations at 2:00:45 PM, 3:00:32 PM, and 4:00:18 PM. Cron schedules faster than once per minute are unsupported. See EventBridge Scheduler schedule types and AWS Scheduler troubleshooting guidance.
Scheduler offers time zones, one-time scheduling, flexible windows, customized target input, and schedule resources independent of an event bus. Legacy EventBridge scheduled rules remain available, but Scheduler is the more feature-rich option for a new timer-driven capture workflow. AWS describes the comparison in its schedule types documentation.
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Configure Scheduler to invoke Lambda
- In the Lambda console, open the function and choose Add trigger.
- Select Scheduler, then choose a schedule name and group.
- Choose a one-time or recurring schedule, and set its date, time zone, rate, or cron expression as appropriate.
- Optionally provide JSON input for the function, such as the target URL or a site identifier.
- Configure the Scheduler execution role. It needs permission to invoke the target Lambda function, including
lambda:InvokeFunction. The console can create a role; infrastructure-as-code or manual deployments must provide the role and target permissions. - Set retry and event-retention behavior, and configure a dead-letter queue if failed delivery must be investigated or replayed.
Scheduler invokes Lambda asynchronously. Keep its execution role separate from the Lambda execution role: the former authorizes invocation, while the latter grants the function access to services it uses, such as writing to an S3 bucket. Scope both roles to the resources and actions actually needed. Follow the Lambda scheduling setup for console and deployment paths.
Package and run a compatible browser
Your handler needs a browser executable and its runtime dependencies compatible with the Lambda runtime, architecture, and deployment package. AWS documents the platform limits but does not endorse a particular Puppeteer or Chromium build. Validate your chosen browser in the actual target runtime; a package that works on a developer laptop may fail in Lambda because of missing libraries, architecture mismatch, permissions, or different launch requirements.
The handler’s essential sequence is:
- Read and validate the requested target URL.
- Launch the browser and open a page.
- Navigate with a bounded timeout and wait for the page condition that matters to the capture.
- Capture the screenshot and write it to temporary storage or directly to an upload stream.
- Upload the completed image to durable storage, log the result, and close page and browser resources before returning.
Choose an explicit navigation wait condition and timeout rather than waiting indefinitely for all network activity. Pages with analytics, streaming requests, or long-lived connections may never become network-idle. For dynamic pages, wait for a meaningful selector or a short bounded delay after navigation. Log the target identifier, outcome, and storage key, but avoid logging sensitive page contents, credentials, or private query parameters.
Lambda limits that shape the design
- Runtime: A standard Lambda function timeout can be configured up to 900 seconds (15 minutes). This is a platform ceiling, not a recommendation to let a screenshot run that long. Set a shorter operational timeout appropriate to the site and leave time for upload and cleanup. AWS documents the current limit in its Lambda quotas.
- Container image: Lambda container images can be up to 10 GB uncompressed. This can suit a browser bundle with substantial dependencies, but image size alone does not establish that the browser will run correctly. See Lambda container images.
- Temporary storage: The
/tmpdirectory is configurable from 512 MB to 10,240 MB. It is temporary working space, not durable screenshot storage. See Lambda ephemeral storage.
ZIP plus layer or container image?
There is no universally best packaging method established for browser screenshots. Compare a ZIP and layer against a container image based on browser dependency size, runtime compatibility, how you build and update the artifact, cold-start behavior, and deployment limits. Whichever you choose, test the packaged artifact in Lambda with the intended architecture and memory, not only locally.
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Use /tmp only for browser files or intermediate output, then upload the finished screenshot to S3 or another durable destination. A key pattern such as site-id/YYYY/MM/DD/HH-mm-ssZ.png makes a historical series sortable by UTC capture time. If readers need only the latest image, a stable per-site key can be simpler; consider keeping a timestamped history separately when auditability or comparison matters.
Decide deliberately how long captures should remain and who can read them. Choose bucket access controls, encryption, and lifecycle retention to fit the data and use case; the AWS sample demonstrates S3 as a destination but does not prescribe these policies. Do not make the bucket public merely to display a screenshot unless that exposure is intentional.
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Make retries safe and monitor completed captures
EventBridge Scheduler provides at-least-once delivery, so duplicate invocations are possible. If duplicates would create confusing files or repeat downstream work, use deterministic object keys, conditional writes, or another deduplication strategy. Choose the key semantics carefully: a timestamp generated at execution time may differ across duplicate attempts, while a stable schedule input or intended capture window can help identify the same logical run.
Configure retry limits and retention for unprocessed events, and use a dead-letter queue when failures need review or replay. For universal targets, AWS warns that Scheduler validates target ARN format but not the downstream API input; validate the payload yourself and verify the path with a one-time schedule first. See managing schedules and troubleshooting Scheduler.
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Estimate cost and capacity for your workload
There is no meaningful fixed cost for a screenshot schedule without assumptions about cadence, number of schedules, function memory and duration, browser startup, network behavior, storage retention, and logging. The AWS sample warns that charges may apply after Free Tier usage; use current AWS pricing for the selected Region and your expected workload instead of relying on the sample’s older cost context.
For capacity planning, AWS lists a default quota of 10,000,000 schedules per Region, adjustable, and a default invocation throttle limit of 1,000 invocations per second in primary Regions; other Regions can differ and quotas are adjustable. These are service limits, not evidence that a particular browser workload can sustain that volume. Check the Scheduler quotas for the Region and current limits.
At high cadence, browser startup, page load time, and concurrent runs can matter more than the schedule definition. Keep capture duration bounded, avoid overlapping work where it would overload the target site, and use the observed Lambda duration and storage growth to refine cadence and retention.
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Common failures and fixes
- Scheduler runs but Lambda is not invoked: Check the schedule state, target ARN and execution role trust and permissions, especially
lambda:InvokeFunction. Review Scheduler delivery metrics and configured retry or dead-letter behavior. - Lambda starts but the browser will not launch: Verify that the browser executable, dependent libraries, architecture, and runtime match the deployed package. Reproduce against the packaged artifact and Lambda runtime rather than changing unrelated timeout settings first.
- Navigation times out or captures an incomplete page: Set a bounded navigation timeout and wait for a condition relevant to the page. For sites with persistent network activity, avoid an unbounded network-idle wait; wait for a selector or a bounded delay instead.
- Function times out after capture: Leave time for image encoding, S3 upload, and browser cleanup. Raise the timeout only within the 900-second Lambda maximum and investigate slow navigation or oversized work.
- Temporary disk fills up: Browser caches and intermediate files consume
/tmp. Clean up per invocation and configure ephemeral storage for the expected working set; do not use it as the archive. - Duplicate images appear: Account for at-least-once delivery with idempotent keys or deduplication based on the intended scheduled capture, not solely a fresh execution timestamp.
- No screenshot exists despite a successful invocation: A delivered invocation is not proof of a valid image. Log capture and upload success separately, validate the object key and bucket permissions, and alert on missing completion signals.
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Implementation reference and age caveat
AWS’s sample repository illustrates the broad pattern of periodic website capture and S3 storage, but it specifies Node.js 12.x and is dated. Use it as an architectural example, not as current runtime instructions: AWS Lambda Puppeteer screenshot sample.
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Frequently Asked Questions
Can EventBridge Scheduler run a screenshot only once in the future?
Yes. Create a one-time schedule with the desired date, time, and time zone.
Can a Lambda screenshot job run longer than 15 minutes?
No. The standard Lambda function timeout is capped at 900 seconds; a job that cannot fit within that ceiling needs a different execution design.
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