How to Compare Websites on Traffic and Tech

You need to compare multiple websites on traffic and technology so your team can decide where to run ads, which partners to prioritize, or how to route leads. By the end of this guide, you’ll be able to pull traffic intelligence and detected tech stacks from domains using a single API, then plug those results into your pipeline for side-by-side comparisons, filtering, and alerts.

Why Klazify fits traffic-and-tech comparisons

When you’re evaluating multiple sites at once, you don’t want to stitch together separate sources for rankings, visits, engagement, and technology detection. Klazify provides both traffic intelligence and website categorization/tech signals from URLs, which you can combine to rank prospects, validate inventory, and tune targeting rules.

Illustration: How to Compare Websites on Traffic and Tech

Accurate categorization for context: Klazify analyzes page content with AI and maps it to the IAB taxonomy, which helps you understand what a site is about before you trust its traffic profile.
Global coverage: Traffic and tech data work across regions and languages, making it useful for international ad ops or product research.
Near real-time classification: If a site’s content or stack changes, Klazify’s analysis reflects that rather than relying on static lookups.
Industry-standard categories: IAB mapping lets you reconcile content categories with downstream brand-safety and contextual advertising workflows.
Simple integration: REST endpoints with JSON responses fit cleanly into Python or JavaScript pipelines, CI jobs, and data enrichment microservices.
Compliance and filtering: Use content categories and traffic signals together to block or allow based on your policy (e.g., block certain categories regardless of rank, or flag sudden engagement spikes).

What you’ll build: a reproducible comparison workflow

Your goal is to send a list of domains to Klazify, collect two datasets per domain, then merge into a single comparison view:

Traffic metrics (global rank, country rank, category rank, monthly visits, engagement metrics, traffic sources, top countries) via the traffic intelligence endpoint.
Detected technologies, IAB categories, and company attributes via the categorization endpoint.

With both sources, you can produce a composite score, dashboards, and alerts (e.g., “sites with top-100k global rank AND running a specific CMS”).

Endpoints you will use

Traffic: POST https://www.klazify.com/api/domain_traffic_intelligence
Categorization and tech: https://www.klazify.com/api/categorize

Both endpoints accept a URL and return structured data you can cache per domain. See the Documentation for field definitions and optional parameters.

Quick start: get traffic intelligence for one domain

Send a POST request with a JSON body containing the URL to analyze. Use Bearer authentication. Failed or unreachable calls are not billed.

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

From the response, extract:

global_rank
country_rank
category_rank
monthly_visits
engagement (e.g., visit duration, pages per visit, bounce rate)
traffic_sources
top_countries

These fields let you compare visibility and audience distribution across sites. Store them along with a timestamp; treat rank values as relative signals that can change over time.

Add context and tech: categorize a domain and read detected stack

Next, use the categorization endpoint to get IAB categories, company info, and detected technologies. Below is the official sample response format you should expect to parse. Use it as a reference for field names and nesting.


{
    "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:

domain.categories: Use the IAB mapping for content filtering, brand safety, and aligning sites to your taxonomy. The confidence helps you decide thresholds.
objects.company.tech: Detect key technologies to segment or prioritize prospects (e.g., analytics, e-commerce, CRM, app servers). Useful for lead routing and competitive analysis.
objects.company.tags and basic company info: Enrich CRM records with sector tags and geo for routing and targeting.
similar_domains: Build “lookalike” crawls or extend targeting pools by exploring adjacent domains.
domain_registration_data: Use domain age and expiration as heuristics for maturity or risk scoring.

End-to-end example in Python: fetch and merge traffic + tech

This sample shows how to call the traffic intelligence endpoint, then call categorization to pull IAB categories and detected technologies. Replace YOUR_API_KEY with your token, and iterate over your own domain list.

import os
import time
import requests

API_KEY = os.getenv("KLAZIFY_API_KEY", "YOUR_API_KEY")
AUTH = {"Authorization": f"Bearer {API_KEY}"}
JSON_HEADERS = {"Content-Type": "application/json"}

def get_traffic(url):
    r = requests.post(
        "https://www.klazify.com/api/domain_traffic_intelligence",
        headers={**AUTH, **JSON_HEADERS},
        json={"url": url},
        timeout=30
    )
    r.raise_for_status()
    data = r.json()
    # Safely read expected fields
    return {
        "global_rank": data.get("global_rank"),
        "country_rank": data.get("country_rank"),
        "category_rank": data.get("category_rank"),
        "monthly_visits": data.get("monthly_visits"),
        "engagement": data.get("engagement"),
        "traffic_sources": data.get("traffic_sources"),
        "top_countries": data.get("top_countries"),
        "_fetched_at": int(time.time())
    }

def get_categorization(url):
    # The categorize endpoint supports URL input; see docs for exact options
    r = requests.get(
        "https://www.klazify.com/api/categorize",
        headers=AUTH,
        params={"url": url},
        timeout=30
    )
    r.raise_for_status()
    data = r.json()
    domain = data.get("domain", {})
    objects = data.get("objects", {})
    company = objects.get("company", {}) if objects else {}

    return {
        "categories": domain.get("categories"),
        "logo_url": domain.get("logo_url"),
        "company_name": company.get("name"),
        "company_url": company.get("url"),
        "company_tags": company.get("tags"),
        "tech": company.get("tech"),
        "domain_registration_data": data.get("domain_registration_data"),
        "similar_domains": data.get("similar_domains"),
        "_fetched_at": int(time.time())
    }

def compare_domains(domains):
    out = []
    for d in domains:
        # Cache per domain in your system to avoid redundant calls; example omits caching for brevity.
        traffic = get_traffic(d)
        cat = get_categorization(d)
        out.append({
            "domain": d,
            "traffic": traffic,
            "categorization": cat
        })
        time.sleep(0.2)  # simple pacing; use proper rate handling in production
    return out

if __name__ == "__main__":
    domains = ["https://example.com", "https://another-example.org"]
    comparison = compare_domains(domains)
    # Example filter: find sites with monthly visits above a threshold and a given tech
    target_tech = "stripe"
    result = [
        x for x in comparison
        if (x["traffic"]["monthly_visits"] or 0) > 1_000_000
        and (x["categorization"]["tech"] or []) and target_tech in x["categorization"]["tech"]
    ]
    print(result)

What to store, compare, and alert on

Persist the latest payloads keyed by the normalized domain (e.g., eTLD+1). The following combinations are effective for scoring and filtering:

Traffic + category: Compare global_rank/monthly_visits for sites within the same IAB category to identify top placements.
Tech + engagement: Find technology cohorts with strong engagement metrics (e.g., low bounce or high pages-per-visit) to guide partnerships.
Top countries + category_rank: Identify strong markets for a category and map to your geo-targeting.
Similar domains + traffic trend: Expand prospect lists with similar_domains, then run traffic checks and include those above your threshold.

Field reference for comparisons

Attribute	Endpoint	Where in Response	How to Use It
Global Rank	domain_traffic_intelligence	global_rank	Sort sites by overall reach; lower rank = more popular.
Country Rank	domain_traffic_intelligence	country_rank	Prioritize by a target market’s standing.
Category Rank	domain_traffic_intelligence	category_rank	Find leaders within a content vertical.
Monthly Visits	domain_traffic_intelligence	monthly_visits	Volume proxy for audience size.
Engagement	domain_traffic_intelligence	engagement	Quality signals: duration, pages/visit, bounce.
Traffic Sources	domain_traffic_intelligence	traffic_sources	Assess dependency on search, social, referrals.
Top Countries	domain_traffic_intelligence	top_countries	Geo distribution for localization and ad buying.
IAB Categories	categorize	domain.categories	Targeting, content filtering, brand safety rules.
Detected Technologies	categorize	objects.company.tech	Segment by stack (e.g., analytics, commerce, CRM).
Similar Domains	categorize	similar_domains	Lookalike expansion and discovery.
Domain Age/Expiration	categorize	domain_registration_data	Heuristics for maturity and renewal risk.

Operational guidance: batching, caching, and taxonomy mapping

Batching and throughput

Process domains in small batches with retries and backoff. If you parallelize, cap concurrency to respect service limits; check the Documentation for current guidance. Implement idempotent workers so failed or unreachable calls can be retried cleanly. Note: failed or unreachable calls are not billed.

Caching and refresh cadence

Cache traffic results by domain with a TTL aligned to how quickly you need updates (e.g., daily or weekly for rankings and visits).
Cache categorization and tech for longer TTLs, but schedule refreshes to detect stack or content shifts.
Normalize and deduplicate domains (eTLD+1) so subdomains map to the same cache key when appropriate.

Unknown or new domains

Some domains may have sparse traffic data or limited tech detection. In these cases:

Record nulls and mark confidence thresholds; avoid defaulting to zeros to prevent bias in comparisons.
Queue a recheck in a few days; new sites can gain coverage quickly.
Use IAB category signals you do have to keep them eligible in category-level audits.

Mapping to your own taxonomy

You can map IAB categories to your internal categories by maintaining a lookup table from domain.categories[*].name (or the IAB-coded field) to your internal IDs. When a site has multiple categories:

Pick the top-confidence category if you need a single label.
Or, keep multiple labels and weight them by confidence for scoring.

Turn results into action

Ad auditing: Whitelist domains with acceptable IAB categories and engagement metrics; blacklist those outside your safety policy.
Prospect scoring: Boost domains that match target tech (e.g., a payment provider you integrate with) and exceed visit thresholds.
Geo planning: Allocate spend where top_countries overlap with your markets and category_rank is strong.
Alerting: Trigger alerts when a partner’s global_rank worsens beyond a threshold or when their tech stack changes.

Pricing, access, and environment setup

Starter plan: $39.99/mo with a 7-day trial.
Authentication: Use Bearer tokens in the Authorization header.
Non-billable failures: Failed or unreachable calls are not billed.

Create a free account to get your API key and start testing. Use the MCP to manage credentials and policies, and keep the Documentation open while you integrate.

Common pitfalls and how to avoid them

Mixing ranks and visits: Ranks are relative; visits are absolute. Normalize or bucket before computing composite scores.
Comparing across categories: Category_rank is only meaningful within the same content vertical. Don’t compare category_rank across unrelated categories.
Assuming permanence: Tech stacks and content change. Schedule refreshes and watch for diffs.
Ignoring confidence: Use categorization confidence to decide whether to accept a label, keep multiple, or queue a review.
Dropping nulls: Retain nulls to avoid silently biasing averages and filters.

FAQ

How often should I refresh traffic metrics?
A practical cadence is daily or weekly depending on your use case. Cache results and refresh on a schedule, plus on-demand when a domain crosses a threshold or requires manual review.

What if a domain returns limited or no traffic data?
Treat fields as nullable, store the response, and recheck later. You can still act on categorization, tech, and registration data while traffic coverage grows.

Can I map IAB categories to my own?
Yes. Maintain a lookup from the category names or IAB-coded field in domain.categories to your internal taxonomy. Apply confidence thresholds to choose a primary label or keep weighted multiples.

How should I handle rate limits?
Pace requests with concurrency caps and retries/backoff. Batch domains, cache responses, and avoid re-querying unchanged domains. See the API rate guidance in the Documentation.

Are failed calls billed?
No. Failed or unreachable calls are not billed.

Ready to compare websites on traffic and tech with one API? Create your account, grab an API key, and start building in minutes: Register.