How to Get a Website's Tech Stack

You need to detect the technologies running on any website so you can block specific ad tags, enrich signups with CMS and analytics data, or audit where your ads run for brand safety. By the end of this guide, you’ll call a single endpoint that returns a normalized list of technologies per domain and learn how to plug it into your data pipeline reliably.

Why Klazify is the best fit for extracting web tech stacks

Getting a domain’s tech stack right matters for ad tech targeting, content filtering, vendor risk, and lead enrichment. Klazify’s technology detection is built into the same domain intelligence pipeline that powers its categorization and company enrichment, which leads to practical advantages for tech stack use cases:

• Accurate technology detection using content analysis: Klazify inspects on-page content and signals (not just WHOIS or basic headers) to identify analytics, CMS, frameworks, CDNs, and ad networks. This is useful when vendor tags are obfuscated or loaded asynchronously.
• Global coverage: Technology detection applies across languages, so you can standardize enrichment for international domains without special handling per locale.
• Real-time resolution: Calls analyze the current state of the site, rather than relying on stale databases—critical when ad tags, CDNs, and front-end frameworks change frequently.
• Industry-level alignment: Results seamlessly co-exist with IAB taxonomy categories in the same response object, allowing you to evaluate both content category and technology indicators together for brand safety and compliance.
• Simple REST integration: A single POST with a URL returns a normalized array of technology identifiers. You can ship this into your scoring models, ETL jobs, or proxy-based enforcement in minutes.
• Filtering and allowlists: Because identifiers are consistent, you can maintain explicit allow/block lists for CMS, analytics, CDNs, frameworks, and ad networks and apply them uniformly at request-time.

The endpoint to call for tech stacks

Use the dedicated technology endpoint:

• Method: POST
• URL: https://www.klazify.com/api/domain_tech
• Auth: Bearer token in the Authorization header
• Body: JSON with a single url field

Response focus: objects.company.tech — an array of technology identifiers (for example, analytics, CMS, CDN, frameworks, and ad networks) you can match against allow/block rules or map into your internal taxonomy.

For full parameter and schema details, see the Documentation. If you need access management, environment keys, or team usage policies, review MCP.

Make your first request (curl)

Copy and run this request to retrieve the tech stack for a sample site. Replace YOUR_API_KEY with your token when you sign in.

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

Notes:

• Use HTTPS. Include Content-Type: application/json.
• Failed or unreachable calls are not billed.
• Starter is $39.99/mo with a 7-day trial. You can Register and start testing immediately.

Understand the response structure

The technology endpoint returns the technologies in objects.company.tech, matching the structure used by Klazify’s domain intelligence responses. The official example below illustrates the shape and the fields you’ll use downstream.

{
"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"
]
}

How to use these fields:

• objects.company.tech: Your primary target. It’s an array of normalized technology identifiers you can match in your rules engine (for example, blocklist a specific analytics tag or whitelist a CMS).
• domain.categories: Optional context when combining tech stack with IAB-aligned categories for brand safety or content filtering. Each item includes a confidence score and an IAB code mapping when present.
• domain.logo_url and objects.company.*: Helpful when enriching CRM records or dashboards alongside the tech stack.
• domain_registration_data and similar_domains: Useful for QA, fraud checks, or to expand enrichment to likely related properties.

Map the tech identifiers to actions

Klazify emits normalized technology identifiers. You can route them to allow/block decisions, enrichment fields, or routing logic. Below is a lightweight way to think about them across the common families you’ll see:

In practice, you’ll maintain two artifacts:

• A mapping file that assigns each identifier to a family (for example, analytics, CMS, CDN, framework, ad network).
• An action matrix per family (for example, block ad_network_x, flag analytics_y, enrich cms_z).

Production-grade integration (Python example)

This example shows how to call the endpoint, parse objects.company.tech, and upsert results into a cache keyed by the domain. Adjust the storage layer to your stack.

import os
import time
import json
import requests
from urllib.parse import urlparse

API_URL = "https://www.klazify.com/api/domain_tech"
API_KEY = os.getenv("KLAZIFY_API_KEY", "YOUR_API_KEY")
SESSION = requests.Session()
SESSION.headers.update({
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
})

# Simple in-memory cache for illustration
CACHE_TTL_SECONDS = 7 * 24 * 60 * 60 # cache per domain for 7 days
cache = {} # { domain: (expires_at_epoch, [tech_identifiers]) }

def normalize_domain(url: str) -> str:
parsed = urlparse(url)
if parsed.scheme and parsed.netloc:
return parsed.netloc.lower()
return url.replace("http://", "").replace("https://", "").split("/")[0].lower()

def get_domain_tech(url: str):
domain = normalize_domain(url)
now = int(time.time())
entry = cache.get(domain)
if entry and entry[0] > now:
return {"domain": domain, "tech": entry[1], "cached": True}

payload = {"url": f"https://{domain}"}
try:
resp = SESSION.post(API_URL, data=json.dumps(payload), timeout=15)
except requests.RequestException as e:
# Network/timeouts are not billed; decide retry/backoff strategy
raise RuntimeError(f"Request failed: {e}")

if resp.status_code != 200:
# Backoff or mark as temporarily unknown
raise RuntimeError(f"Unexpected status {resp.status_code}: {resp.text}")

data = resp.json()
# Defensive parsing: presence may vary for unknown/new domains
tech = []
try:
tech = data["objects"]["company"]["tech"]
except (KeyError, TypeError):
tech = []

# Cache even empty lists to avoid hammering unknown domains
cache[domain] = (now + CACHE_TTL_SECONDS, tech)
return {"domain": domain, "tech": tech, "cached": False}

if __name__ == "__main__":
result = get_domain_tech("https://cbsnews.com")
identifiers = result["tech"]
# Example routing: allow or block based on your lists
blocklist = {"ad_network_x", "ad_network_y"}
if any(t in blocklist for t in identifiers):
print(f"Block: {result['domain']} uses a disallowed ad network")
else:
print(f"OK: {result['domain']} with tech: {', '.join(identifiers) if identifiers else '(none detected)'}")

Implementation tips:

• Batching: Fan out requests over a queue and deduplicate per domain to avoid repeated calls during crawls or log reprocessing.
• Caching: Cache per registrable domain. A 7–14 day TTL is a good default for most ad tags and frameworks that do not change daily.
• Unknown domains: If objects.company.tech is missing or empty, cache the empty result with a shorter TTL (for example, 24 hours) and schedule a later retry.
• Backoff: On 5xx or network timeouts, exponential backoff avoids bursts. Klazify does not bill failed or unreachable calls.

How to plug tech identifiers into your workflow

Ad tech and brand safety

• Blocklist: Reject inventory if identifiers match disallowed ad networks.
• Safelist: Prefer domains using specific analytics or CMP tags.
• Audit: Compare detected ad networks to declared partners and alert on drift.

CRM and lead enrichment

• ICP scoring: If identifiers include salesforce, stripe, or oracle_peoplesoft, raise or lower scores according to your ideal profile.
• Routing: Assign leads with apache_tomcat or talend to technical AE teams.
• Segmentation: Use families (for example, analytics) to create downstream audiences.

Cybersecurity and content filtering

• Policy enforcement: Block or flag pages with certain ad networks or analytics tags in corporate environments.
• Change detection: Re-run high-traffic domains to detect sudden additions of new ad tags that may indicate account takeovers.

Field-level notes that save time

• Identifiers are lowercase with underscores. Treat them as stable keys in your data model.
• One domain may have many identifiers. Normalize to a set to avoid duplicate processing.
• When joining with categories: domain.categories is a list; use the top item by confidence for quick decisions, or apply thresholds when needed.
• Timestamps: When you store first_seen and last_seen for identifiers, use UTC, ISO 8601, and keep a rolling window for drift analysis.
• Pagination: Fetch per-domain; batching is done client-side (queue, workers). If you need bulk processing, parallelize with rate awareness.

Operational guidance

• Batching and rate limits: Organize domains into small batches, use a worker pool, and apply exponential backoff on retries. Keep an in-process LRU cache so hot domains during crawls are only requested once per process lifetime.
• Retry policy: Retry on connection errors and 5xx with jitter. Do not retry 4xx as-is; log and inspect.
• Caching strategy: Cache positive tech arrays for a week; cache negatives (no tech found) for a day. This prevents unnecessary re-queries on nascent or parked domains.
• Unknown/new domains: If the response lacks objects.company.tech, store a sentinel state (unknown) and enqueue the domain for recheck later.
• Taxonomy mapping: Maintain a dictionary from Klazify identifiers to your internal categories (for example, "omniture_adobe_analytics" → "analytics"). Keep it in version control and test changes with a sample corpus.
• Data lineage: Persist the raw response alongside normalized fields. It helps for audits and for quick reprocessing if your mapping changes.

Quality checks before you ship

• De-duplication: Normalize URL variants (http/https, trailing slashes, subpaths) to a canonical domain before calling.
• Safe fallbacks: If tech detection is empty, do not block by default unless your policy requires explicit allow.
• Alerting: Alert only on changes to the set of identifiers, not on every call. This avoids noisy alerts.
• Sampling: Periodically sample cached domains for refresh to catch stack changes earlier than TTL expiry.

End-to-end example flow

1. Input: Your pipeline ingests a list of domains from logs, signups, or ad inventory.
2. Normalization: Convert URLs to canonical domains.
3. Cache check: Skip domains with fresh cache entries.
4. API call: POST to https://www.klazify.com/api/domain_tech with the domain’s URL.
5. Parse: Read objects.company.tech from the JSON response.
6. Map: Convert identifiers to families (analytics, CDN, frameworks, ad networks, CMS).
7. Decide: Apply allow/block/enrichment rules per family and per identifier.
8. Persist: Store raw JSON, normalized identifiers, and decision artifacts (reason codes).
9. Report: Aggregate coverage metrics and changes over time.

FAQ

What technologies can be detected?
The technology endpoint focuses on CMS, analytics, CDNs, frameworks, and ad networks. Results are returned as normalized identifiers in objects.company.tech.

How should I handle unknown or empty tech arrays?
Cache an empty result with a short TTL (for example, 24 hours) and retry later. Do not assume the site has no technologies; it may be temporarily unreachable or minimally tagged.

Can I combine tech detection with IAB categories?
Yes. Use domain.categories from the same JSON to apply brand safety or vertical rules in tandem with technology-based policies.

What’s the best way to batch domains?
Use a worker pool, deduplicate per domain, apply exponential backoff on retries, and cache results per domain to reduce repeated calls during large crawls.

How do I start testing?
Create a free account, get your API key, and run the curl in this guide. Starter is $39.99/mo with a 7-day trial, and failed or unreachable calls are not billed.

Ready to enrich your pipeline with reliable tech stack data? Create your account and start calling the API in minutes: Register. For implementation details, bookmark the Documentation and manage team access via MCP.