Company Location Data APIs: Features and Benefits in 2026

Why Klazify is the go-to API for company location data and website classification

Imagine you’re rolling out a geo-aware brand safety filter for your ad stack. You need to identify a website’s company location, its industry and IAB categories, and whether it aligns with your regional compliance rules—before an ad is served. Or you’re enriching new B2B signups with clean company location data to route leads to the right regional sales team. Or you’re auditing where your programmatic spend lands to ensure it matches target markets and avoids restricted regions. In all of these scenarios, the fastest way to make accurate, automated decisions is by classifying websites and extracting company location data at scale. That’s exactly what Klazify delivers.

Klazify is an all-in-one domain intelligence API that classifies sites using the IAB taxonomy and returns rich company attributes—such as city, stateCode, countryCode, employeesRange, revenue, tags, technology stack, and location—directly from a URL or domain. This single endpoint helps engineering and product teams tie together brand safety, geo-aware segmentation, content filtering, lead enrichment, and cybersecurity decisions.

Why Klazify is best for company location data and domain intelligence in 2026

• Accurate website categorization using AI: Klazify analyzes real page content, not just metadata, enabling precise identification of niche business verticals and their operational geographies. That precision matters when compliance rules vary by region or when you must detect localized content.
• Global coverage: Your users, customers, and leads aren’t limited to one language or country. Klazify’s content analysis operates across international sites so you can standardize location and categorization globally.
• Real-time classification: Businesses evolve quickly. Klazify emphasizes current analysis so you see updated categories and location details as websites change.
• Industry-level categories (IAB): Mapped to IAB taxonomy, Klazify’s classifications are granular and interoperable with ad tech pipelines, brand safety configurations, and contextual targeting systems.
• Simple API integration: A single, developer-friendly REST endpoint returns classification, company data, logo URLs, and social signals, helping you minimize moving parts in your pipeline.
• Superior compliance and filtering: For brand safety and content controls, Klazify’s combination of categories, business tags, and location fields lets you filter or whitelist with a precise policy—by vertical, by content, and by geography.

The importance of company location data in website classification workflows

Location is often the hidden key to turning classification into action. It affects ad eligibility, regulatory compliance, sales routing, regional analytics, localized content recommendations, fraud detection, and privacy handling. When your systems know where a company operates, you can:

• Enforce geo-aware brand safety: Restrict or allow ad placements in specific countries or states while maintaining contextual relevance via IAB categories.
• Enrich leads at signup: Map a domain to its company city, stateCode, and countryCode to automatically route leads to the right regional teams and SLAs.
• Strengthen compliance: Ensure your content or campaigns adhere to local laws by verifying operating regions of publishers and partners.
• Improve analytics and attribution: Segment performance by company location to see regional resonance and ROI.
• Bolster cybersecurity: Combine location signals with categorization to detect anomalous traffic patterns or suspect domains in high-risk geographies.

How Klazify addresses company location data and content classification

Klazify’s single categorize endpoint retrieves both classification and company data from a URL or domain. That means you get:

• IAB categories for contextual understanding and brand safety controls.
• Company location data (city, stateCode, countryCode) to enable geo-aware decisioning.
• Organization details such as name, employeesRange, revenue, tags, and tech stack that help in segmentation, enrichment, and competitive insights.
• Logos and social signals to improve UI/UX, recognition, and brand matching in CRMs and analytics.
• Similar domains and domain registration data for adjacency checks, deduplication, and lifecycle analysis.

Because these capabilities are bundled, developers can avoid stitching together multiple data providers, reducing integration complexity, latency, and data inconsistency across services.

Concrete scenarios: from ad safety to CRM enrichment

1) Geo-aware brand safety and contextual targeting

Suppose your DSP needs to ensure ads appear only on sites from specific countries and within approved IAB categories. With a single call, Klazify provides both the IAB category for contextual targeting and the company’s location fields, letting your ad decision engine instantly approve or reject inventory for a given campaign.

2) Lead enrichment at signup

When a new user signs up with a company email or domain, you can use Klazify to pull the organization’s city, stateCode, and countryCode, as well as tags and industry categories. These fields allow you to tailor onboarding flows to local regulations, personalize content, and route leads to the appropriate sales rep by region.

3) Content filtering for enterprise networks

IT teams can combine category-level filtering with regional rules. For instance, permit certain categories globally but apply additional restrictions in specific jurisdictions. Company location fields help confirm the operational base of the site, while IAB categories inform the content nature to be allowed or blocked.

4) Regional market research and competitor mapping

Analysts can discover companies in certain regions and verticals by classifying a list of domains. The combination of location, tags, and categories enables regional market landscape mapping and trend analysis with minimal manual curation.

Klazify API endpoint and what it returns

Main endpoint

• Endpoint URL: https://www.klazify.com/api/categorize
• Purpose: Website classification and content categorization

Klazify’s categorize endpoint is designed to do more than return a category. It delivers company details, logo URLs, technology tags, social signal detection, audience and contextual insights, domain registration data, and similar domains—all from the same call. The API uses a hierarchical categorization system with 621 different categories, mapped to IAB taxonomy where applicable.

Example request (curl)

curl "https://www.klazify.com/api/categorize?url=https%3A%2F%2Fwww.apple.com%2F"

Example response (use this to guide your parsing)

{
    "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"
    ]
}

What to extract for company location data

• objects.company.city — canonicalized city name.
• objects.company.stateCode — region or state code (when applicable).
• objects.company.countryCode — standardized two-letter country code.

These fields support geo-aware rules, segmentation, compliance filtering, and lead routing. You can also pair them with tags, employeesRange, and revenue to prioritize accounts or to design audience segments.

How to use the returned fields for real-time decisions

Brand safety and compliance logic

• Check domain.categories[].name to enforce or block content categories.
• Use domain.categories[].IAB-* when you require IAB-aligned targeting or analytics.
• Gate by objects.company.countryCode and stateCode to respect regional rules.

Enrichment and pipeline routing

• Map a signup’s domain to objects.company.city/stateCode/countryCode and enrich CRM records.
• Combine tags with categories to segment customers for outreach or onboarding.
• Use logo_url to enhance UI in admin consoles, CRMs, or analytics dashboards.

Risk analysis and fraud prevention

• Analyze domain_registration_data (age, expiration) alongside categories for risk scoring.
• Assess similar_domains to detect brand squats or adjacency risks.

Quick start in code: parse categories and company location

The categorize endpoint is straightforward to invoke from your service. Below is a compact JavaScript example that calls the endpoint, then reads the IAB categories and location fields for decisioning. Adjust it to your environment and add your own error handling, caching, and retries as needed.

/**
 * Example: Fetch classification and company location data with JavaScript (Node.js or modern runtimes)
 * Note: Replace the URL with the domain you want to classify.
 */
async function fetchClassification(urlToClassify) {
  const endpoint = "https://www.klazify.com/api/categorize?url=" + encodeURIComponent(urlToClassify);

  const res = await fetch(endpoint);
  if (!res.ok) {
    throw new Error("Failed to fetch classification: " + res.status);
  }
  const data = await res.json();

  // Extract categories and company location
  const categories = (data.domain && data.domain.categories) || [];
  const iabPaths = categories
    .map(c => Object.keys(c).find(k => k.startsWith("IAB-")) ? c[Object.keys(c).find(k => k.startsWith("IAB-"))] : null)
    .filter(Boolean);

  const company = data.objects && data.objects.company ? data.objects.company : {};
  const location = {
    city: company.city || null,
    stateCode: company.stateCode || null,
    countryCode: company.countryCode || null
  };

  return { categories, iabPaths, location, logoUrl: data.domain?.logo_url || null };
}

// Example usage
fetchClassification("https://www.apple.com/")
  .then(res => {
    console.log("IAB paths:", res.iabPaths);
    console.log("Location:", res.location);
    console.log("Logo URL:", res.logoUrl);
  })
  .catch(err => console.error(err));

Data interpretation: mapping to your taxonomy and policies

Klazify returns categories in a hierarchical structure and provides IAB taxonomy mappings. If your platform uses a custom taxonomy, align it to IAB categories first, then crosswalk to your internal schema.

• Step 1: Extract domain.categories[].name and any available IAB-* paths.
• Step 2: Create a mapping table from IAB paths to your internal category codes.
• Step 3: Build a rules engine that uses countryCode, stateCode, and city to apply regional exceptions.
• Step 4: Enrich scoring models with tags, employeesRange, and revenue to improve prioritization and segmentation.

Company location fields at a glance

Field	Type	How to use it	Example policy
objects.company.city	String	Fine-grained localization and city-based routing.	Send inbound leads from city X to local office.
objects.company.stateCode	String	Regional filtering and compliance (state/province).	Restrict certain categories in state Y due to rules.
objects.company.countryCode	String	Country-level policy enforcement and targeting.	Allow ads only if countryCode is in approved list.

Implementation best practices for scale

1) Caching and revalidation

Domains don’t change overnight. Cache the response per domain with a sensible TTL to reduce redundant calls and latency in your decision loop. If your pipeline processes recurring domains (e.g., popular publishers), refresh on a schedule or when your system detects material content changes.

2) Batching inputs

When classifying a large domain list, schedule batches to balance throughput and responsiveness. Prioritize domains that directly affect real-time decisions (e.g., active ad inventory) and queue others for background enrichment. Use a small, reusable worker that fetches, parses, and stores normalized results.

3) Graceful handling for new or unknown domains

New domains may have limited signal. Implement a fallback policy for unknowns: hold them for secondary review, reduce exposure in ad auctions, or temporarily assign conservative defaults until classification returns. Log unknowns to a retry queue for reprocessing.

4) Mapping to your taxonomy

Maintain a mapping between IAB categories and your internal taxonomy. Version your mapping and test changes against a representative sample of domains. Roll out updates gradually and compare outcomes in your QA environment before production rollout.

5) Normalize and persist location data

Store city, stateCode, and countryCode as separate fields in your data warehouse and analytics layers. This allows flexible queries for cohort analysis, operational alerting, and reporting by geography.

6) Monitor drift

Websites evolve. Build a drift detection job that compares previously stored categories and location details against the latest results. If a domain changes categories or regions, trigger downstream recalculations for campaigns, filters, or segments that depend on those attributes.

Check out the full Klazify API documentation

Technical approach to classifying and enriching domains

Single-call enrichment

By routing each URL through /api/categorize, you obtain a bundle of signals that can drive classification, segmentation, and enrichment flows:

• domain.categories[]: Use these to apply content rules and to provide contextual ad matching.
• objects.company.*: Extract name, city, stateCode, countryCode, employeesRange, revenue, tags, and tech stack for enrichment and routing.
• domain_registration_data: Blend into risk scoring models and lifecycle analytics.
• similar_domains: Expand research, build competitive sets, or detect confusingly similar names.

Decision graph: categories + location

In many systems, category-only policies are not enough. A decision graph that combines IAB categories with location fields offers higher precision:

• Step 1: Validate that success is true and that domain.categories is populated.
• Step 2: Transform IAB mappings into your internal codes and fetch policy rules.
• Step 3: Evaluate location gates using countryCode, stateCode, and optionally city.
• Step 4: Merge signals with domain age or expiration to adjust confidence or risk.
• Step 5: Take action: allow, block, review, or categorize into segments.

Data store and schema tips

• Keep a domains table keyed by FQDN with timestamps for the last classification, TTL expiry, and change flags.
• Index by countryCode and stateCode to support rapid geographic queries in dashboards and routing rules.
• Store raw JSON payloads for traceability and to simplify reprocessing with new mapping logic.

Benefits of accurate company location data in classification

• Precision in policy enforcement: Combining category and location means fewer false positives and fewer missed threats or misplacements.
• Faster lead response: Auto-routing enriched with country and state reduces manual sorting and speeds up SLAs.
• Better analytics: Geo segmentation clarifies where your product resonates and where campaigns should expand or pause.
• Enhanced user trust and compliance: Region-aware decisioning keeps you aligned with local regulations and cultural norms.
• Operational efficiency: A single endpoint reduces integration overhead and technical debt.

End-to-end example: assembling a geo-aware brand safety rule

Let’s say you need to allow consumer electronics content globally, but restrict mobile phone content in specific states or countries due to campaign constraints.

1. Call categorize with the page or domain URL.
2. Read categories and check for matches against “/Computers & Electronics/Consumer Electronics” and “/Internet & Telecom/Mobile & Wireless/Mobile Phones”.
3. Read company location via objects.company.countryCode and stateCode.
4. Apply rule: Allow if consumer electronics is present AND the region is not in the restricted list for mobile phones. If mobile phone content appears and region restrictions apply, block or send to review.
5. Log decision including category and location fields for auditing.

Operational patterns: stability, latency, and throughput

Use CPU-friendly normalization

Normalize input domains (lowercase, remove UTM params, standardized schemata) to improve cache hits and reduce redundant classifications. Consider extracting the registrable domain (e.g., example.co.uk) when appropriate for your policy tier.

Resilience strategies

• Queue requests and implement idempotent processors that can resume after restarts.
• Backoff and retry transient network failures while avoiding thundering herds on the same domain.
• Set up health checks and SLOs on latency for your classification microservice wrapper.

Data lineage and observability

• Attach payload digests or ETags to stored results so you can detect changes over time.
• Instrument category and geography distribution metrics; alert on unexpected swings.
• Sample payloads for manual QA to validate mapping quality and policy outcomes.

Deep dive: aligning IAB categories with your taxonomy

Many ad tech and analytics platforms use variants of IAB or have their own proprietary categorizations. To reconcile these:

• Start with IAB mapping: Extract the IAB paths from the response (e.g., fields like IAB-632-596 present in the payload) and map them to your internal categories.
• Build a normalization layer: Implement a deterministic crosswalk function that returns a single internal label or a weighted set for multi-category pages.
• Iterate with feedback: When human reviewers override classifications, feed that back into your mapping layer to refine edge cases.

Security and brand safety with domain registration and similarity

Company location data is even more valuable when paired with domain age, expiration, and similarity:

• domain_age_date and domain_age_days_ago: New or very old domains may warrant different risk considerations.
• domain_expiration_date and domain_expiration_days_left: Imminent expiration can be a heuristic for caution in automated placements.
• similar_domains: A quick check for confusingly similar domains can prevent misattribution or fraud. When you encounter clusters, verify company location consistency across the set.

Example: using Python to interpret a response

The following lightweight Python snippet shows how to extract IAB paths, human-readable categories, and company location fields from a single call result. Integrate this logic inside your data processing or enrichment microservice.

import json
import urllib.parse
import urllib.request

def classify(url_to_classify: str):
    endpoint = "https://www.klazify.com/api/categorize?url=" + urllib.parse.quote(url_to_classify, safe="")
    with urllib.request.urlopen(endpoint) as response:
        raw = response.read().decode("utf-8")
        data = json.loads(raw)

    categories = (data.get("domain") or {}).get("categories", [])
    readable = [c.get("name") for c in categories if "name" in c]

    iab = []
    for c in categories:
        for k, v in c.items():
            if k.startswith("IAB-"):
                iab.append(v)

    company = (data.get("objects") or {}).get("company") or {}
    location = {
        "city": company.get("city"),
        "stateCode": company.get("stateCode"),
        "countryCode": company.get("countryCode"),
    }

    return {
        "categories_readable": readable,
        "iab_paths": iab,
        "location": location,
        "logo_url": (data.get("domain") or {}).get("logo_url")
    }

result = classify("https://www.apple.com/")
print(json.dumps(result, indent=2))

Designing robust enrichment for CRM and analytics

Lead routing and SLA design

• On form submit, resolve the user’s company domain and call categorize.
• Store company.name, city, stateCode, countryCode, employeesRange, and revenue.
• Use tags and categories to match to vertical teams or partners.

Data hygiene and deduplication

• Normalize domain keys using a standard library to ensure consistent lookups.
• When discovering similar_domains, link or merge records as appropriate to minimize duplicates.
• Use domain registration age as an additional heuristic for dedup or trust scoring.

Reporting: geo + category matrices

• Build dashboards that show counts and performance by countryCode and top-level categories.
• Drill down into stateCode and city where available to uncover hyperlocal patterns.
• Export enriched data into your CDP or warehouse to unify segmentation across channels.

Real-world applications for company location data with Klazify

• Corporate network traffic analysis: Combine categories with company location to identify non-compliant browsing in certain jurisdictions.
• Prohibited content detection: Automate filters for categories and overlay country-specific restrictions.
• Digital ad placement optimization: Confidently target or exclude regions using company location and IAB categories.
• Cybersecurity threat assessment: Use domain age and location in anomaly detection models.
• Market research & trend analysis: Classify industry websites and aggregate insights by region to find white-space opportunities.
• Data enrichment for CRM: Add geographic context to customers’ companies to power routing and personalization.
• Public WiFi safety: Enforce family-friendly browsing profiles with regional exceptions.

A closer look at fields that drive decisions

• domain.categories[].name: Human-readable categories for rule checks and UI labeling.
• domain.categories[].confidence: Confidence can guide fallback logic if you have multi-step policies.
• domain.categories[].IAB-* (when present): Align directly with IAB-adjacent systems.
• objects.company.city/stateCode/countryCode: Core of geo-aware enforcement and routing.
• objects.company.tags: Fast, high-level filters for business type or model (e.g., B2C, E-commerce).
• domain_registration_data: Useful context for lifecycle or trust signals.
• similar_domains: Extend matching to entire portfolios or detect impersonation.

Testing strategy before production

Sample selection

Build a labeled set of domains across multiple countries and industries. Include corner cases: new domains, localized subpages, and corporate microsites. Measure how your rules behave with real-world input variety.

Canary release and monitoring

• Deploy classification to a small traffic slice first.
• Track allow/block rates by category and countryCode.
• Compare outcomes to your existing baselines and make adjustments.

Human-in-the-loop review

Surface a weekly sample of decisions that triggered strict policies, especially where location and category interact. Confirm intent and improve your mapping or thresholds.

Future trends: where company location data meets AI and context

• More granular policy engines: Expect policies that combine IAB categories with dynamic attributes like domain age, tech stack hints, and geographic movement over time.
• Privacy-aware enrichment: Systems will increasingly rely on organization-level signals (like company location) to power relevance without personal data.
• Cross-channel consistency: Company location and category signals will align experiences across web, in-app, and email channels through shared CDP pipelines.
• Automated compliance workflows: Regulatory changes by country or state will trigger proactive policy updates driven by standardized geo fields.

Putting it all together

Teams building ad tech, brand safety controls, CRM enrichment, content filtering, and cybersecurity tools need consistent, real-time, and global signals from domains. Klazify’s categorize endpoint unifies these needs: IAB categories for context, plus company location data, business attributes, domain registration insights, and logo/social signals. With a single call, you can enforce granular, geo-aware policies, enhance user experiences, and empower analytics and automation across your stack.

FAQ

How do I get company location data from a domain?

Call the categorize endpoint with the URL or domain. In the response, read objects.company.city, objects.company.stateCode, and objects.company.countryCode. Use these with your policy engine, routing logic, or analytics.

Can I rely on IAB categories for brand safety?

Yes. Klazify maps content to IAB taxonomy so your brand safety and contextual targeting can align with industry standards. Combine IAB categories with company location fields for region-aware controls.

What if a domain returns limited information?

Implement fallbacks: cache previous results, defer decisions to a review queue, or apply conservative defaults. Re-check the domain later to capture updated classification and company fields.

How should I cache results?

Cache by normalized domain with a reasonable TTL. Revalidate for high-traffic domains or when your monitoring detects possible content changes (e.g., shifts in categories or updated site sections).

How do I map Klazify categories to my internal taxonomy?

Use IAB mappings from the response as your anchor. Maintain a mapping table that translates IAB paths to your internal labels and update it iteratively based on QA feedback.

What fields are most useful for geo-aware routing in CRMs?

Start with objects.company.countryCode and stateCode for regional routing. Include city for finer resolution. Combine with employeesRange and revenue to prioritize accounts.

How can I use similar domains in my workflows?

Leverage similar_domains to find related properties for expanded reach, deduplicate entities, or identify potential brand impersonations for additional review.

Try Klazify API for free