How to Get a Domain's Expiration Date

Your team needs to know when a domain will expire so you can block risky traffic, enrich signups with lifecycle signals, or audit where your ads run before a domain lapses. In this guide, you’ll implement a production-ready path to fetch a domain’s expiration date, age, and days remaining using Klazify’s domain_expiration endpoint, then wire the response into a caching and alerting flow you can ship today.

Why Klazify is the right fit for domain expiration intelligence

Klazify is built for domain intelligence at scale, with a single API you can call to retrieve registration signals alongside categorization. When your use case depends on knowing whether a domain is about to expire, the same integration you use for categorization can also supply age and expiration data you can act on immediately.

• Accurate website categorization plus domain signals: You can combine expiration insights with IAB-mapped categories to decide whether to block, flag, or allow a domain as its registration nears renewal.
• Global coverage: Fetch expiration signals for domains across regions and languages, aligning with your international inventory or customer base.
• Real-time analysis: Retrieve up-to-date registration data rather than relying on stale or manual spreadsheets.
• Industry-level categories: Because Klazify maps to IAB categories, you can build nuanced policies—e.g., treat “expiring” domains in sensitive categories differently than general-purpose sites.
• Simple API integration: A straightforward REST call with your Bearer token gives you the fields you need: domain_age_date, domain_age_days_ago, domain_expiration_date, and domain_expiration_days_left.
• Compliance and filtering: Create rules to warn, throttle, or block domains near expiration to reduce risk in ad placements, analytics pipelines, or user-submitted URLs.

You can explore the platform at www.klazify.com and follow along in this guide to add expiration checks to your workflow.

What you will build: a domain expiration check with actionable fields

We’ll call the domain_expiration endpoint to retrieve four key fields. Then we’ll parse them, cache the result per domain, and set thresholds for “expiring soon.” You’ll be able to:

• Block or flag domains with domain_expiration_days_left below your policy threshold.
• Enrich signups with domain_age_days_ago to qualify leads or detect throwaway domains.
• Audit your ad placements to ensure none run on domains nearing expiration.

Endpoint and request

Use the dedicated POST endpoint to fetch expiration details for a URL or domain:

POST https://www.klazify.com/api/domain_expiration

Authentication: Bearer token

cURL request (copy/paste)

curl -X POST "https://www.klazify.com/api/domain_expiration" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url":"https://cbsnews.com"}'

Replace YOUR_API_KEY with your token. If a call fails or the target is unreachable, it is not billed. You can Register for a free account to get started. The Starter plan is $39.99/mo with a 7-day trial.

The official JSON example and the fields you will use

Below is the official example payload showing how domain registration data is returned within a broader response. Your domain_expiration call focuses on the registration fields highlighted after this block.

{
"domain": {
"categories": [
{
"confidence": 0.92,
"name": "/Computers & Electronics/Consumer Electronics",
"IAB-632-596": "Consumer Electronics/Technology & Computing/Consumer Electronics"
},
{
"confidence": 0.89,
"name": "/Internet & Telecom/Mobile & Wireless/Mobile Phones"
}
],
"social_media": null,
"logo_url": "https://klazify.s3.amazonaws.com/2110787991611585019600ed5fb1d1300.04730104.png"
},
"success": true,
"objects": {
"company": {
"url": "https://www.apple.com/",
"name": "Apple",
"city": "Cupertino",
"stateCode": "CA",
"countryCode": "US",
"employeesRange": "100K+",
"revenue": 274515000000,
"raised": null,
"tags": [
"E-commerce",
"Consumer Electronics",
"Mobile",
"B2C"
],
"tech": [
"omniture_adobe_analytics",
"atlassian_confluence",
"successfactors",
"apache_apex",
"talend",
"oracle_peoplesoft",
"salesforce",
"stripe",
"dell_boomi_atomsphere",
"gigya",
"sage_50cloud",
"quickbooks",
"webmethods",
"apache_tomcat",
"alteryx",
"tibco_rendezvous",
"atlassian_jira",
"..."
]
}
},
"domain_registration_data": {
"domain_age_date": "1987-02-19",
"domain_age_days_ago": "13026",
"domain_expiration_date": "2030-02-20",
"domain_expiration_days_left": "123"
},
"similar_domains": [
"bestbuy.com",
"icloud.com",
"microsoft.com",
"macrumors.com",
"google.com",
"samsung.com",
"twitter.com",
"hp.com",
"bhphotovideo.com",
"dell.com"
]
}

The fields you’ll use operationally are in domain_registration_data:

• domain_age_date: The domain’s creation/registration start date, formatted as YYYY-MM-DD.
• domain_age_days_ago: Number of days since domain_age_date, as a string you can parse to an integer.
• domain_expiration_date: The next expiration date, formatted as YYYY-MM-DD.
• domain_expiration_days_left: Days remaining until expiration, as a string to parse to an integer.

Treat these as date-only values. For storage and comparisons, parse them as dates and consider using UTC-normalized boundaries when computing alerts.

Quick reference: what each field enables

Field	Type	How to use it	Example decision
domain_age_date	YYYY-MM-DD	Record original registration date for profiling and analytics.	Flag newly created domains for extra checks.
domain_age_days_ago	String number	Parse to integer to bucket domains by age.	Disallow domains younger than X days in signups.
domain_expiration_date	YYYY-MM-DD	Store canonical expiration to schedule renewals or audits.	Alert account team 30 days before expiration.
domain_expiration_days_left	String number	Parse to integer and apply policy thresholds.	Block ad placements if days_left < 7.

End-to-end code: fetch, parse, and act on expiration

Python example

import requests
from datetime import datetime, timedelta

API_KEY = "YOUR_API_KEY"
ENDPOINT = "https://www.klazify.com/api/domain_expiration"

def get_domain_expiration(url: str) -> dict:
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
}
payload = {"url": url}
resp = requests.post(ENDPOINT, headers=headers, json=payload, timeout=20)
resp.raise_for_status()
data = resp.json()

# The domain_expiration endpoint returns the same registration fields
# shown in the official example block under domain_registration_data.
reg = data.get("domain_registration_data", {}) or data

# Parse numeric strings to integers
days_old = int(reg.get("domain_age_days_ago")) if reg.get("domain_age_days_ago") else None
days_left = int(reg.get("domain_expiration_days_left")) if reg.get("domain_expiration_days_left") else None

return {
"age_date": reg.get("domain_age_date"),
"age_days": days_old,
"expiration_date": reg.get("domain_expiration_date"),
"expiration_days_left": days_left,
"raw": data,
}

def is_expiring_soon(expiration_days_left: int, threshold_days: int = 30) -> bool:
if expiration_days_left is None:
return False
return expiration_days_left <= threshold_days

if __name__ == "__main__":
domain_url = "https://cbsnews.com"
result = get_domain_expiration(domain_url)
print("Domain age date:", result["age_date"])
print("Domain age days:", result["age_days"])
print("Expiration date:", result["expiration_date"])
print("Days left:", result["expiration_days_left"])

if is_expiring_soon(result["expiration_days_left"], threshold_days=14):
print("Action: flag or block due to near-term expiration.")
else:
print("Action: allow; schedule next check based on cache policy.")

This snippet extracts the same four fields you saw earlier and shows a simple policy where days_left determines whether to flag or block.

Operational integration details that matter in production

Caching and refresh policy

• Per-domain cache: Cache results keyed by the registrable domain (e.g., example.com). Subdomains typically share the same registration.
• TTL strategy: Use domain_expiration_days_left to derive a TTL. For example, if days_left > 60, refresh weekly; if 15–60, refresh daily; if <= 14, refresh every few hours.
• Date parsing: Store domain_age_date and domain_expiration_date as date objects. Because the values are date-only, normalize to midnight UTC for comparisons.
• Change detection: If a new fetch returns a different domain_expiration_date, invalidate dependent decisions (e.g., unblock a renewed domain).

Batching and throughput

• Bulk processing: Run batches in parallel workers and back off on HTTP errors. Group domains by TLD or priority to manage retry budgets.
• Rate limits: Treat rate limits as dynamic. Implement client-side pacing and automatic retries with jitter. Consult the Documentation for current guidance.
• Idempotency: Re-fetching the same domain within your TTL won’t change results frequently; favor cache hits to reduce calls and latency.

Error handling and unknown domains

• Not found or unreachable: If the target is down or a lookup fails, the call is not billed. Log the failure, mark the domain as unknown, and retry later with exponential backoff.
• Incomplete data: If a field is missing, default to conservative behavior. For example, if expiration_days_left is absent, require manual review or temporary blocklist for sensitive flows.
• Normalization: Normalize inputs (trim scheme, lower-case host). For URLs, pass the full URL; the API handles extraction.

Mapping expiration signals to your policies

• Signups and lead enrichment: Store domain_age_days_ago and domain_expiration_days_left as numeric attributes on the company or contact record. Downstream, use them in scoring or fraud checks.
• Ad tech and brand safety: Before serving an impression, check days_left. If below threshold, exclude or shift to alternative inventory. Log the domain_expiration_date for auditing.
• Security and filtering: Combine expiration with categorization from the main categorization endpoint to escalate risky categories approaching expiration.

Combining expiration with categorization when you need both

Many pipelines already use Klazify’s main categorization endpoint to power content filtering, IAB mapping, or analytics. If your workflow also needs expiration data, you can either:

• Call the domain_expiration endpoint for lightweight retrieval of the four registration fields.
• Use categorization responses where domain_registration_data is present for an all-in-one payload, then cache accordingly.

This approach keeps your integration surface small and your data model consistent. Review the Documentation to decide which flow best matches your latency and data needs.

Policy templates you can implement today

• Blocklist-on-expiry policy:
  • If domain_expiration_days_left <= 7: block domain, alert owner.
  • If 8–30: allow with warning; create ticket for renewal verification.
  • If > 30: allow; schedule next check based on TTL tiers.
• Signup quality policy:
  • If domain_age_days_ago < 14: mark as high-risk; require business email validation.
  • If 14–90: reduce score; require additional verification.
  • If >= 90: proceed with standard checks.
• Ad placement audit:
  • Scan your active domain list nightly. For any with days_left <= 14, move spend to backup inventory.
  • Attach domain_expiration_date to the creative/placement record for audit trails.

Monitoring and alerting

• Threshold alerts: Create alerts at 30, 14, and 7 days remaining. Include both expiration date and the last-seen timestamp from your cache.
• Dashboard rollups: Aggregate by TLD, category, or customer segment to prioritize renewals and outreach.
• SLOs: Track API success rate and median latency. Implement fallbacks (e.g., queue for retry) to keep your pipeline non-blocking.

Security, compliance, and access

• Authentication: Use the Bearer token in the Authorization header. Store it securely and rotate on a regular cadence.
• Data retention: Keep only the fields you need (e.g., expiration date and days left) for your operational policies.
• Audit trails: Log the response snapshot and your decision at the time you applied a policy, to enable later reviews.

Developer shortcuts

• Client libraries: The API is standard HTTP+JSON; use your preferred HTTP client. The Python example above can be adapted to JavaScript fetch or any enterprise SDK.
• Parallel fetches: Batch requests across workers with a bounded concurrency to respect rate limits and meet latency goals.
• Schema: Persist age_date (date), age_days (int), expiration_date (date), expiration_days_left (int), and a raw JSON column for traceability.

Where this fits in your broader domain intelligence stack

Klazify also supports website categorization, IAB taxonomy mapping, company info enrichment, logo extraction, social links, tech stack detection, and more from a URL. This lets you centralize content filtering and enrichment in a single provider while keeping your integration surface minimal. Explore capabilities and models via the MCP and the API Documentation.

Quality and coverage expectations

Klazify analyzes the real website content and returns industry-standard categories using the IAB taxonomy alongside domain registration data. Global coverage and real-time analysis help maintain accurate expiration checks across markets. For integration questions or support, refer to the docs or contact the team via klazify.com.

FAQ

• How often should I refresh a domain’s expiration info?
  Use a tiered TTL: weekly if days_left > 60, daily if 15–60, and multiple times per day if <= 14. Adjust to your SLA and traffic risk.
• What happens if the domain cannot be reached or the lookup fails?
  The call is not billed. Mark the domain as unknown, keep the prior cached value if present, and retry with exponential backoff.
• Can I combine expiration checks with categorization in one workflow?
  Yes. Many teams call categorization for IAB mapping and content signals, then call domain_expiration for registration details, caching both under the same domain key.
• How should I store the date fields?
  Parse YYYY-MM-DD to a date type and normalize to UTC for comparisons. Store the original strings for traceability if needed.
• What’s the best way to set policy thresholds?
  Common thresholds are 30, 14, and 7 days. Start conservative, monitor false positives/negatives, and tune per product risk.

Ready to add expiration checks to your pipeline? Create your free account and start integrating today: Register. Dive deeper into endpoints and fields in the API Documentation.