SSL Certificate Expiry Monitor
How to get SSL Certificate Expiry Monitor with the API
Check TLS certificates for HTTPS hosts - issuer, validity dates, days remaining, SANs, and expiry alerts. A run saves one row per result.
Set up the Apify actor
Apify is where this run is collected. An actor is the program that collects the rows. A task is that program saved with your settings, so the next section can ask for the latest rows. You need a free Apify account.
- 01Open SSL Certificate Expiry Monitor and click Try for free. Create an Apify account if you do not have one. The Free plan does not ask for a card.
- 02You are on the input form. Keep the sample for this first run.
{ "hosts": [ "example.com" ], "warnDays": 30, "alertsOnly": false, "maxItems": 5 } - 03Leave the proxy setting as it is. Click Start and wait until the run says Succeeded.
- 04Open Storage, then Dataset. You should see
port,ok,issuer,notBefore. - 05When you want the real list, raise maxItems. The sample cap is only there so the first run stays small.
- 06Go back to the input and choose Save as a new task. Name it after this list.
- 07Open the task. Copy the task ID from the address bar. Excel, Sheets, Power BI, and the other guides ask for this ID.
- 08On the task, open Schedules and add a weekly run if you want fresh rows. Each run pays the start charge and the charge for the rows. The amounts are in the price list on this page.
- 09Open Settings, then API & Integrations, and copy an API token. Excel, Sheets, and the other guides put this token in a download link. Anyone with that link can download the rows, so treat it like a password.
How to set up with the API
- 01Use the API token from Set up the Apify actor, above.
- 02Send this request. Replace
YOUR_TOKEN. It waits up to 120 seconds.curl -X POST "https:// api.apify.com/ v2/ acts/ bakos_bence~ssl-certificate-monitor/ runs? token=YOUR_TOKEN& waitForFinish=120" \ -H "Content-Type: application/ json" \ -d '{ "hosts": [ "example.com" ], "warnDays": 30, "alertsOnly": false, "maxItems": 5 }' - 03From the response, copy
defaultDatasetId. - 04Fetch the rows. Replace
DATASET_IDandYOUR_TOKEN.https:// api.apify.com/ v2/ datasets/ DATASET_ID/ items? format=json& clean=true& token=YOUR_TOKEN - 05To repeat it, use the task and the weekly schedule from Set up the Apify actor, above. A scheduled task's newest rows are this URL, with your task id and token:
https:// api.apify.com/ v2/ actor-tasks/ TASK_ID/ runs/ last/ dataset/ items? format=json& clean=true& status=SUCCEEDED& token=YOUR_TOKEN - 06Anyone with a URL that contains the token can read the rows.
Schema
Examples come from the actor sample, not a live result.
| Name | Description | Example |
|---|---|---|
port | Port | 443 |
ok | Ok | true |
issuer | Issuer | DigiCert |
notBefore | Not Before | Oct |
notAfter | Not After | Oct |
daysRemaining | Days Remaining | 46 |
tlsVersion | Tls Version | TLSv1.3 |
scrapedAt | Scraped At | 2026-09-11T12:00:00+00:00 |
portPort443okOktrueissuerIssuerDigiCertGlobal G3 TLS ECC SHA384 2020 CA1 notBeforeNot BeforeOct1 00:00:00 2025 GMT notAfterNot AfterOct27 22:17:21 2026 GMT daysRemainingDays Remaining46tlsVersionTls VersionTLSv1.3scrapedAtScraped At2026-09-11T12:00:00+00:00
The same row as JSON
{
"port": "443",
"ok": "true",
"issuer": "DigiCert Global G3 TLS ECC SHA384 2020 CA1",
"notBefore": "Oct 1 00:00:00 2025 GMT",
"notAfter": "Oct 27 22:17:21 2026 GMT",
"daysRemaining": "46",
"tlsVersion": "TLSv1.3",
"scrapedAt": "2026-09-11T12:00:00+00:00"
}