CaptureKit takes the screenshot; a separate scheduler runs the capture once a day. You can schedule a small Python process or use an automation workflow such as Zapier, Make, or n8n. The capture API itself does not create the recurring schedule.
What you need before scheduling
- A CaptureKit account and API key from its dashboard. CaptureKit authenticates requests with the
x-api-keyheader; keep that key on a server or in a secret manager, never in browser-side JavaScript or a public repository. See the CaptureKit introduction. - The page URL or URLs to capture, plus a decision about format, viewport, wait behavior, and where to store each result.
- A host that can run a persistent process if you use the Python loop below, or an account with a workflow automation service if you prefer a visual scheduler.
Choose what the daily capture should do
CaptureKit’s capture API reference documents GET /v1/capture and options for screenshot output, browser-like wait behavior, viewport and device settings, delays, selector targeting, resource blocking, caching, and S3-compatible uploads.
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Pick an output and page scope
Documented output formats include PNG, JPEG/JPG, WebP, and PDF. Choose one format based on how you will inspect or archive the result. Use a selector when only one element matters; otherwise capture the page. Viewport size and device emulation affect what appears in the screenshot, so keep them consistent across runs if you intend to compare images.
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The documented wait_until values are domcontentloaded, load, networkidle0, and networkidle2. Use the condition that matches the page: a page with continuously active network requests may never reach a network-idle condition. The optional delay is documented as 0–10 seconds and can give late-rendering content a little more time, but a fixed delay is not a guarantee that every dynamic element has finished.
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Do not confuse caching with recurrence
The cache_ttl setting controls response caching, not how often a capture runs. CaptureKit documents a range of 3,600 to 2,592,000 seconds. For a daily monitoring job, consider whether cached output is appropriate: a cache hit may not reflect a fresh visit to the page. The recurring trigger belongs to the scheduler, not this parameter.
Schedule captures with Python
This example follows CaptureKit’s documented scheduling approach: define a job, call the capture endpoint, and keep the process alive. Install the dependencies with python -m pip install requests schedule. Set CAPTUREKIT_API_KEY in the process environment rather than embedding the secret in the file.
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import os
import time
from datetime import datetime, timezone
from pathlib import Path
import requests
import schedule
API_KEY = os.environ["CAPTUREKIT_API_KEY"]
URL = "https://example.com"
OUTPUT_DIR = Path("captures")
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
def capture():
now = datetime.now(timezone.utc)
response = requests.get(
"https://api.capturekit.dev/v1/capture",
headers={"x-api-key": API_KEY},
params={
"url": URL,
"format": "png",
"wait_until": "networkidle2",
},
timeout=120,
)
response.raise_for_status()
# A UTC timestamp gives every successful daily run a distinct filename.
filename = OUTPUT_DIR / f"capture-{now:%Y-%m-%dT%H-%M-%SZ}.png"
filename.write_bytes(response.content)
print(f"Saved {filename}")
# Run once at startup, then once each day at the selected local process time.
capture()
schedule.every().day.at("09:00").do(capture)
while True:
schedule.run_pending()
time.sleep(1)Replace the example URL and choose capture parameters supported by the endpoint reference. The schedule library uses the host process’s local time; configure the server’s time zone or use a scheduler that lets you explicitly choose a time zone if the capture must follow a particular region’s clock. The loop must remain running for future executions. For a production job, add logging, alerting on exceptions, and a process supervisor or managed host so a crash or restart does not silently stop the schedule.
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Keep each day’s result
The example writes a timestamped file instead of overwriting yesterday’s image. For cloud storage, the API reference documents S3-compatible upload parameters, including an optional object key or an automatically generated key. Use a date-based key or equivalent naming rule if you need an orderly archive. CaptureKit’s guide also describes storing results in Google Drive or S3.
Use a workflow automation service instead
If you do not want to maintain a continuously running script, configure a daily trigger in an automation workflow and connect it to an HTTP request for CaptureKit’s capture endpoint. CaptureKit names Zapier, Make, and n8n as options in its web page change-tracking guide. Add a storage action for the image and, if useful, an email or Slack notification.
The documentation does not provide a comparative test of those services’ reliability, prices, or setup complexity. Choose based on where the workflow runs, how easily you can edit it, the storage and alert connections it supports, and the total cost for your expected number of captures.
Account for usage and successful responses
CaptureKit documents one credit per screenshot capture call. Daily volume is therefore driven by how many URLs you capture and how often you run them; a job capturing five pages daily makes five capture calls each day. Its introduction says synchronous calls are billed on a successful HTTP 200 response. For asynchronous calls, HTTP 202 means the job was accepted and queued; billing occurs when it completes successfully, polling the job endpoint is free, and failed jobs are not billed. These are vendor-documented billing rules; check the current documentation and your account terms before budgeting a recurring workload.
Troubleshoot a missed or unusable screenshot
- The script fails authentication: Confirm the environment variable is present and the request sends the
x-api-keyheader. Do not put the key in a URL or expose it in client-side code. - The process ran but no new file appeared: Check the process logs and HTTP status. The sample raises an exception for non-success responses; ensure the process supervisor captures that error and alerts someone.
- The capture is incomplete: Try a more appropriate
wait_untilcondition or a shortdelaywithin the documented 0–10 second range. Verify that the viewport and selector target match the content you mean to capture. - A network-idle wait hangs or is unsuitable: Pages with ongoing requests may not become idle. Try
loadordomcontentloaded, or use a bounded delay when appropriate. - Every run seems to show the same page: Review
cache_ttl; it is caching behavior, not a daily schedule setting. Use a fresh capture strategy when the objective is to record changes. - The schedule stops after deployment or reboot: The Python loop only schedules work while its process is alive. Run it under a process manager or move recurrence to a managed workflow scheduler.
Or skip the browser setup
If you want the screenshot call without hosting a browser process or building this CaptureKit workflow, ScreenshotNeo is a website screenshot API and MCP server. A single GET request can return an image or PDF; its clean-shot workflow accepts cookie or consent banners like a visitor and removes more than 60 known consent platforms, newsletter popups, and chat widgets before capture. Bot checks, blank pages, failed loads, timeouts, and cache hits are not billed. Its MCP server exposes screenshot tools for Claude, Cursor, and other MCP clients.
For example, this saves a WebP capture of a page; see the ScreenshotNeo API documentation for options and scheduling integration:
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Frequently Asked Questions
Does CaptureKit itself run a daily schedule?
No. The capture endpoint performs a capture when called; a script or external workflow supplies the recurring trigger.
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Yes. Add one capture call per page to the scheduled job, and account for one credit per screenshot capture call under CaptureKit’s documented usage model.
Can I use these screenshots to monitor visual changes?
Yes. Save each run separately, compare the new image with the previous capture, and send an alert only when a difference merits review.
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