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To capture screenshots of multiple URLs with Apify, choose a screenshot Actor that accepts a batch input, provide your URLs in that Actor’s required schema, set its capture options, then run it and retrieve its files and results. Apify has no universal screenshot Actor or platform-wide URL limit: available options, input fields, storage, and pricing depend on the community-maintained Actor you select.

How to capture screenshots of multiple URLs with Apify

  1. Choose an Actor. Compare current Apify Store listings and open the selected Actor’s input schema and pricing. The Website Screenshot listing by Fabio Suizu exposes a urls array and settings for dimensions, format, quality, full-page capture, and delay. The Allscreenshots Website Screenshot Capture listing describes batches of up to 100 URLs per run and 30+ device presets. Those are listing-specific claims, not Apify-wide guarantees. Fabio Suizu’s Website Screenshot listing · Allscreenshots Website Screenshot Capture listing
  2. Prepare the input exactly as the Actor expects. Some Actors accept strings in a urls array; others may require URL objects or different field names. Do not assume one Actor’s JSON works with another.
  3. Set the capture options. Choose viewport or full-page output, image format, dimensions, delay, and device settings where available. The Fabio Suizu listing’s input schema specifies width from 320 to 3840 pixels, height from 240 to 2160 pixels, and delay up to 10,000 milliseconds. These are constraints for that Actor, not general Apify limits.
  4. Run the Actor and collect its output. You can start it from the Console or use its documented API endpoint. Apify’s synchronous Actor run API can return dataset items; screenshot files may instead be in a key-value store, while the dataset contains URLs or other metadata. Check the Actor’s documentation for the actual storage keys and output structure.
  5. Inspect a small batch before scaling up. Confirm that the generated images are present, match the intended pages and dimensions, and that failed URLs are visible in the results before submitting a large list.

Prepare a batch input and run it through the API

The Website Screenshot Capture listing documents an HTTP POST to its Run Actor endpoint and provides its own input schema. Use the exact endpoint, actor identifier, authorization method, and JSON fields shown on the listing or in your Apify account; the example below illustrates the request shape and deliberately leaves those Actor-specific details to the live documentation.

curl -X POST 
  "https://api.apify.com/v2/acts/ACTOR_ID/runs?token=APIFY_API_TOKEN" 
  -H "Content-Type: application/json" 
  -d '{
    "urls": [
      "https://example.com/",
      "https://example.org/"
    ],
    "fullPage": true,
    "format": "png"
  }'

ACTOR_ID, APIFY_API_TOKEN, and the settings shown are not universal Apify values: substitute the selected Actor’s ID, a private API token, and field names accepted by its input schema. The JSON above is illustrative, not a drop-in payload for every screenshot Actor. Apify documents synchronous Actor execution and returned dataset items in its Run Actor API reference.

Plan the output before submitting many URLs

  • Viewport or full page: viewport captures show the initially visible area; full-page captures can include content farther down the page when the Actor supports it.
  • Format and quality: choose among the formats the Actor accepts. A format or quality field supported by one listing may not exist in another.
  • Dimensions and device: verify width, height, device presets, and any scale-factor controls in the Actor’s current schema. A preset can be convenient, but custom dimensions give more predictable layout comparisons when supported.
  • Wait behavior: use a documented delay or other wait option if the page needs time to render. A delay does not guarantee that a slow or interactive page has finished loading.
  • Result handling: determine whether images are stored as files in a key-value store, linked from dataset items, or returned another way before planning downstream automation.

Choose an Apify screenshot Actor carefully

Apify Store screenshot Actors are community-maintained. Their advertised feature sets, limits, billing, and continued availability belong to the individual listings; they should not be read as platform guarantees. Compare the live listing and schema before committing a workflow.

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Batch capacity and input Maximum URLs per run, accepted URL format, and whether entries are strings or objects. The Allscreenshots listing says up to 100 URLs per run; verify that limit on the current listing before relying on it.
Capture mode Viewport, full-page, or element capture, if offered.
Output Supported image or PDF formats and whether files are separate from dataset metadata.
Viewport and devices Custom dimensions, device presets, scale factor, and dark mode, if available.
Failure handling Documented timeout, retry, wait, and failed-page reporting behavior. If the listing does not specify these, do not assume a retry policy.
Cost Billing unit, whether Apify platform usage is included in the Actor price, and how failed captures are charged. Actor pricing varies; there is no single screenshot price for all Apify workflows.

Apify’s official Store guidance explains that Actors use different pricing models and that platform usage may or may not be included in an Actor’s price. Check Apify’s Actors in Store documentation and the selected Actor’s live pricing details before a substantial run.

Retrieve results and schedule recurring captures

Retrieve the run output

For synchronous execution, Apify’s Run Actor API can return dataset items. The returned metadata does not mean every Actor returns image bytes in the dataset: inspect the Actor’s instructions to find whether screenshot files are in a key-value store, referenced by URLs, or handled another way. Save both the images and any per-URL status information your workflow needs.

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Schedule repeat runs

For recurring snapshots, Apify schedules can run Actors or tasks at a cron frequency and accept input overrides. Manage schedules through the Console or APIs. Apify describes schedules as a way to run Actors and tasks at specific times, but scheduled events may be delayed by system conditions, so use schedules for recurring automation rather than a precise real-time deadline. See Apify’s Actor and task schedules documentation.

Performance, reliability, and cost considerations

  • Large batches take longer and consume more resources. Page rendering time varies by target site and Actor implementation. Start with a small sample to estimate practical runtime for your own pages rather than assuming a fixed throughput.
  • Concurrent work is Actor-dependent. Check the listing’s concurrency and run settings, and consider target-site rate limits. Do not increase parallelism without checking the Actor’s behavior and the destination sites’ rules.
  • Failures need explicit review. A finished run may still contain failed or incomplete page captures. Use the Actor’s documented status fields or logs to identify them; do not infer success merely from the run completing.
  • Calculate the actual bill. Confirm the Actor’s charge basis and whether platform usage is separate. The available listings do not establish one universal price or a platform-wide URL allowance.

Troubleshooting common batch-capture problems

  • Input validation fails: compare your JSON field names, value types, and required settings with the exact Actor schema. A urls array from one Actor may not be accepted by another.
  • Some pages are missing: check run logs and per-URL output, validate each URL, and confirm the Actor’s failure reporting and retry options. If the listing does not document retries, treat them as unavailable unless verified.
  • Images are not in the dataset: consult the Actor’s output documentation for its key-value store or file links. Dataset items can provide metadata rather than image content.
  • Pages look incomplete: check whether the Actor supports full-page capture and a wait or delay setting; confirm dimensions and format as well. A delay can help with rendering but is not proof that all dynamic content loaded.
  • Unexpected charges or a run limit: revisit the live Actor pricing and input limit, and check whether platform usage is billed separately. Limits and billing are not uniform across screenshot Actors.
  • Scheduled capture starts later than expected: schedules are recurring automation, not a guaranteed real-time trigger. Allow for system-related delays as described in Apify’s scheduling documentation.

Or skip the browser setup

ScreenshotNeo is a screenshot API and MCP server from Yorker Media. A single GET request can return a PNG, JPEG, WebP, or PDF. Its capture flow accepts cookie and consent banners and removes more than 60 known consent platforms, newsletter popups, and chat widgets before capture; each of those steps can be turned off. Bot checks and CAPTCHAs, blank pages, timeouts, failed loads, and cache hits cost nothing, and the response identifies the page verdict and billing status in headers. AI agents can use its MCP server tools, including take_screenshot, get_page_info, and capture_pdf.

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For one URL, the request is:

curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webp

See the ScreenshotNeo API documentation for batch capture and the other options, including full-page shots, output format, custom dimensions, device presets, caching, and asynchronous jobs.

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ScreenshotNeo includes 1,000 screenshots per month on its free plan with no card required; paid plans start at $5 for 3,000 screenshots. Sign up for ScreenshotNeo’s free plan.

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Frequently Asked Questions

How do I screenshot multiple URLs at once?

Use a screenshot Actor whose input schema accepts multiple URLs, submit the batch in that schema, then retrieve the images and per-page results from the Actor’s documented output storage.

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Does Apify have a universal 100-URL screenshot limit?

No. Up to 100 URLs per run is stated by the Allscreenshots Website Screenshot Capture listing; it is not a platform-wide Apify limit.

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