Cutting-Edge Company Location Data APIs for 2026

If your product needs to recognize where a company operates and what its website is about, the fastest path to production is to classify the domain and extract company location data in the same request. Picture this: a visitor signs up with a company email, your backend calls one API, and the profile instantly enriches with city, state, country, logo, technologies, and IAB categories—ready to route the lead, tailor onboarding, or apply regional compliance rules. That’s the workflow teams build with Klazify’s domain intelligence: accurate website classification plus company location data you can trust at scale.

Why Klazify is the best fit for company location data website classification

Company location is actionable only when it’s paired with high-fidelity website categorization. Klazify uniquely combines both in a single, developer-friendly API that’s proven in ad tech, brand safety, CRM enrichment, cybersecurity, and analytics pipelines.

Accurate classification of location-centric industries

Klazify’s machine learning models analyze full-page content and signals across a domain—not just titles or metadata—to classify websites into IAB categories with granular paths. This depth is essential when your use case hinges on geospatially relevant sectors such as logistics hubs, regional retail franchises, local healthcare providers, real estate agencies, or city-specific services. With complete content context, the API reliably distinguishes, for example, a global headquarters page from a localized storefront microsite.

Global coverage for cross-border pipelines

If you route leads or moderate content in multiple countries and languages, Klazify’s global coverage ensures your enrichment logic remains consistent. City, state, and country data, combined with IAB taxonomy, enables geo-aware segmentation and routing for sales, ads, or compliance, all from a single domain request.

Real-time classification for operational decisions

Location data and web content evolve quickly. Klazify performs real-time classification and domain analysis, providing current signals so your routing, filtering, and analytics respond to today’s reality rather than yesterday’s snapshots. Whether you audit publisher lists or allow traffic on corporate networks, fresh categorization plus company location details keep policies in sync.

Industry-level categories via IAB taxonomy

The API returns IAB-mapped categories, an industry standard in ad tech and brand safety. This enables immediate plug-in to contextual targeting, inventory curation, or block/allow lists without bespoke taxonomies. You get the clarity of paths such as “/Internet & Telecom/Mobile & Wireless/Mobile Phones” alongside company metadata like city, stateCode, and countryCode.

Simple REST integration

Klazify exposes one main endpoint—easy to wire into data pipelines, event-driven flows, or microservices. With a lightweight request containing a URL or domain, you enrich user signups, publisher catalogs, or security allowlists with categories, location data, logo URLs, similar domains, and more. Minimal moving parts, maximum enrichment per API call.

Compliance, filtering, and brand safety

For geofenced ad placements, regulated-region workflows, or content filtering by locale, Klazify’s combined categorization and company location data lets you confidently detect, filter, or whitelist relevant sites. From city-level targeting to country-based restrictions, policies become explicit and enforceable across your stack.

Concrete scenario: Enrich a signup with company location and IAB categories in one step

Imagine a user signs up with “[email protected].” Your backend extracts the domain, calls Klazify, and receives the company’s city, stateCode, countryCode, plus IAB categories, logo, and tech stack signals. You then:

• Route the lead to the right regional team using city/state/country
• Score the lead using employeesRange, revenue, and tags
• Tailor onboarding based on industry categories and tech stack compatibility
• Apply brand safety policies if the site falls into risk-sensitive categories

This single enrichment supports operations across marketing, sales, support, and compliance without additional data providers.

Learn more about Klazify’s platform at Klazify.com, and start building a unified, location-aware classification pipeline in minutes.

How the Klazify API works for company location data

Klazify provides an all-in-one domain data source. You send a URL or domain to the main endpoint and receive website categorization, IAB taxonomy mapping, company information (including location data), logo URL, technology signals, domain registration info, social handles (when detected), and similar domains—all structured for immediate use.

Main endpoint

Endpoint URL: https://www.klazify.com/api/categorize

Purpose: Website classification and content categorization, with company data and domain intelligence such as location, tech stack, and more.

One complete cURL request

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

A realistic JSON response (example)

Below is an example response you can expect. We’ll highlight the key fields for company location data and website categorization immediately after.

{
    "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"
    ]
}

Interpreting the response for location-aware classification

• domain.categories: A list of category paths with confidence scores and IAB mapping, used for contextual targeting, filtering, and brand safety.
• domain.logo_url: Useful for UI/UX enrichment in CRMs, admin panels, and analytics dashboards.
• objects.company.city | stateCode | countryCode: Core company location data fields for routing, geo-segmentation, and compliance workflows.
• objects.company.employeesRange | revenue | tags | tech: Additional enrichment for lead scoring, firmographic segmentation, and product fit analysis.
• domain_registration_data: Registration age and expiration, helpful for risk assessment and lifecycle analytics.
• similar_domains: For discovery, competitor analysis, and graph-based enrichment.

Technical approach to classifying company-related websites

Klazify’s pipeline unifies content analysis, semantic understanding, and industry-standard taxonomy mapping to produce precise classifications backed by actionable business data.

Domain content analysis

The API crawls and analyzes relevant pages across a domain, extracting textual and structural signals that indicate business focus, services, products, and regional presence. This supports consistent classification for complex sites with both global and localized content.

Semantic understanding and contextual signals

Beyond keywords, Klazify interprets topics, entities, and relationships that anchor a site within an industry. For location-sensitive use cases, these signals help differentiate corporate HQ pages from dealer locators, franchisee microsites, or country/regional subdomains.

IAB taxonomy mapping

Detected categories are mapped to the IAB taxonomy. This mapping unlocks downstream workflows in ad tech and brand safety, while maintaining granular parsing of niche and regional offerings.

Real-world applications for company location data classification

1) CRM and lead enrichment

• Auto-assign leads based on countryCode and stateCode.
• Personalize nurture paths using domain.categories (IAB-aligned) and tags.
• Add company logo and tech stack to profile cards for faster SDR qualification.

2) Brand safety and contextual ad placement

• Whitelist categories relevant to local markets to ensure compliance and creative relevance.
• Exclude risky or irrelevant categories before bidding or serving ads in certain geographies.
• Use city and countryCode to refine regional ad distribution logic.

3) Corporate content filtering and network governance

• Classify traffic flows by IAB category and apply policies per department or site.
• Allow or restrict content by locale, using company location metadata where applicable.
• Combine domain_registration_data and similar_domains to assess domain trust signals.

4) Market research and competitor intelligence

• Aggregate categories and technologies across target regions to identify emerging trends.
• Use similar_domains to expand competitor lists for specific industries and locations.
• Segment analysis by countryCode to report on market maturity and share.

5) Cybersecurity and geofenced compliance

• Apply geo-based access policies enriched by domain categories to reduce risk exposure.
• Flag newly observed domains with short domain_age_days_ago for closer inspection.
• Triangulate categories and registration data to detect anomalous domains by region.

Designing your pipeline: ingestion, enrichment, and storage

Klazify’s single endpoint simplifies orchestration. Here’s a reference flow to enrich domains and store the results for downstream callers.

1) Input normalization

• Extract the domain from emails or URLs (e.g., example.com from [email protected]).
• Canonicalize (lowercase, strip protocols, handle subdomains when needed).
• Deduplicate domains before enrichment to reduce redundant processing.

2) Enrichment call

• POST the normalized URL or domain to the categorize endpoint.
• Capture the full response for traceability; store especially categories, logo_url, company fields, and domain_registration_data.

3) Storage and caching

• Persist a domain cache keyed by domain; include a freshness timestamp.
• Use a TTL aligned to your business tolerance for staleness; refresh on read when near expiry.
• Index by countryCode, stateCode, and city for quick geo queries.

4) Downstream usage

• CRM: enrich company objects and route leads by countryCode/stateCode.
• Ad tech: map domain.categories to inventory policies per region.
• Security: enforce access control lists with geo-aware category checks.

For more details, refer to the endpoint description and parameters in the official documentation: Check out the full Klazify API documentation.

Code sample: parse company location and categories

The snippet below demonstrates how a backend service might call the API and extract company location data alongside IAB categories for routing and policy checks.

import json
import os
import requests

API_KEY = os.getenv("KLAZIFY_API_KEY")
API_URL = "https://www.klazify.com/api/categorize"

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

    # Extract key elements for location-aware classification
    categories = data.get("domain", {}).get("categories", [])
    logo_url = data.get("domain", {}).get("logo_url")
    company = data.get("objects", {}).get("company", {})
    city = company.get("city")
    state = company.get("stateCode")
    country = company.get("countryCode")
    employees = company.get("employeesRange")
    revenue = company.get("revenue")
    tags = company.get("tags", [])
    tech = company.get("tech", [])
    registration = data.get("domain_registration_data", {})
    similar = data.get("similar_domains", [])

    # Structure a compact enrichment payload for internal consumers
    return {
        "categories": categories,
        "logo_url": logo_url,
        "location": {
            "city": city,
            "stateCode": state,
            "countryCode": country
        },
        "firmographics": {
            "employeesRange": employees,
            "revenue": revenue,
            "tags": tags,
            "tech": tech
        },
        "registration": registration,
        "similar_domains": similar
    }

if __name__ == "__main__":
    result = enrich_domain("https://www.apple.com/")
    print(json.dumps(result, indent=2))

How to use the returned fields

• location.city/stateCode/countryCode: Drive geo-based routing, territory ownership, and regulatory workflows.
• categories: Power contextual logic, blocklists/allowlists, and analytics-by-category.
• firmographics: Score leads and segment accounts; match personas and ICP tiers.
• registration: Add risk checks; monitor domain lifecycle for renewal-related churn signals.
• similar_domains: Expand audience models or competitor cohorts.

Mapping Klazify categories to your internal taxonomy

Many teams use internal category labels (e.g., “Strategic Accounts,” “Local Retail,” “FinServ High-Risk”) for routing and policy. Map the returned category paths or IAB fields to your own tiers. Start small—map your top 20 actions—then expand as you observe coverage.

Klazify Category (example)	Internal Segment	Primary Action	Notes
/Computers & Electronics/Consumer Electronics	Tech - Consumer	Assign to Tech Sales West if countryCode=US and stateCode in [CA, OR, WA]	Use revenue/employeesRange for tiering
/Internet & Telecom/Mobile & Wireless/Mobile Phones	Telecom - Mobile	Whitelist for contextual ads; exclude in compliance regions if needed	Pair with city/countryCode for local ad buys
IAB-mapped: Consumer Electronics/Technology & Computing/Consumer Electronics	IAB Tech - CE	Enable product bundle A; route support to Device Ops	Prefer IAB mapping for ad tech pipelines

Batch processing and operational excellence

Batching strategies

• Aggregate new or unseen domains from signups, CRM syncs, and publisher imports into periodic batches.
• Cache results and avoid re-enriching domains that have been recently processed.
• Use a queue to smooth spikes from marketing campaigns or data migrations.

Caching and refresh policy

• Cache by domain with a TTL based on your staleness tolerance (for many use cases, days to weeks).
• Trigger ad-hoc refreshes when you detect major company news or when category-driven policies change.
• Track a “lastValidatedAt” timestamp to coordinate periodic revalidation jobs.

Handling unknown or new domains

• If a domain returns limited data initially, store a “pending enrichment” status and recheck after a backoff window.
• Use domain_registration_data to flag very young domains for additional evaluation steps.
• Leverage similar_domains to infer likely industry cohorts, while clearly marking them as heuristic.

Resilience and observability

• Implement idempotent enrichment jobs keyed by domain.
• Use structured logging and capture the response subset used for decisions.
• Monitor domain-enrichment SLAs and error budgets separate from downstream business KPIs.

You can explore Klazify’s broader capabilities and how they fit into your architecture at Klazify.com.

Benefits of accurate classification plus company location data

Higher conversion from geo-routed leads

Sales teams close more deals when leads are routed to the right territory and rep in seconds. City, stateCode, and countryCode from the API ensure immediate, automated routing—even when the signup form captures minimal data.

Lower operational overhead

With categorization, IAB mapping, and company data in a single call, engineering reduces integration complexity. Product managers enjoy faster time-to-value, while analysts get consistent data across teams and dashboards.

Stronger compliance and brand safety

Some regions require stricter handling of certain content or categories. Pair IAB categories with location data to express and enforce policies that are both contextual and geographic, improving oversight and audit readiness.

Better personalization and onboarding

Tags and tech indicators complement the category signals to personalize onboarding flows and documentation references (for example, showing integration guides relevant to the detected tech stack or industry).

End-to-end example: auditing where ads run, by region and category

Suppose your DSP or ad ops team needs to audit publisher lists against both category rules and geography constraints. You can ingest URLs, enrich them with Klazify, and produce a report that flags items violating policies such as “no ads in certain categories within country X,” or “prioritize consumer electronics in regions Y and Z.”

Workflow

• Compile a publisher list and normalize domains.
• Call the categorize endpoint; store categories and company.location.
• Apply rules:
  • Exclude categories deemed unsafe or irrelevant for a region.
  • Whitelist categories suitable for your creatives and messaging.
  • Flag ambiguous results for human review.
• Export a final allowlist and a review queue for edge cases.

Advanced interpretation of key fields

Field	How to use it	Example action
domain.categories[].name	Primary category path for contextual classification	Enable or block placements; inform product segmentation
domain.categories[].confidence	Confidence measure for decision thresholds	Auto-approve above 0.9; manual review for 0.6–0.9
domain.categories[].IAB-…	IAB taxonomy mapping for ad tech alignment	Map directly into targeting and brand safety controls
objects.company.city/stateCode/countryCode	Core geodata for routing and compliance	Assign account owner by territory; apply region-specific rules
objects.company.employeesRange/revenue	Firmographic tiering and prioritization	Fast-track enterprise opportunities; tailor SLAs
objects.company.tags/tech	Context for solution fit and onboarding content	Suggest integrations; group by technology affinities
domain_registration_data	Trust and lifecycle indicators	Extra scrutiny for very new domains; retention alerts near expiration
similar_domains	Graph expansion and discovery	Build competitive sets; extend lookalike audiences

Implementation best practices and integration tips

Data modeling

• Store the raw JSON for traceability, plus a normalized internal model (categories, location, firmographics).
• Version your mappings from IAB to internal taxonomy to manage rule changes over time.

Caching and coherence

• Use write-through caching on first enrich; schedule background refreshes.
• Expose a lightweight “classification snapshot” API to internal consumers for quick reads.

Quality controls

• Define confidence thresholds by use case; sensitive workflows can set higher bars.
• Maintain a small manual review tool for ambiguous or high-impact domains.

Observability

• Track enrichment coverage by domain cohort (new vs. cached, region, segment).
• Alert on unexpected shifts in category distributions for major markets.

Security, governance, and auditing

Many organizations use Klazify data to standardize governance across teams. A consistent, centrally managed domain enrichment layer eliminates duplicate logic in downstream apps. As policies evolve—like new brand safety rules or region-specific constraints—update your mappings, rerun audits on stored domain data, and push refreshed allowlists to clients.

Future trends: company location data + classification in 2026

Contextual targeting renaissance

As privacy-forward shifts continue, contextual signals and domain-level intelligence grow in importance. Accurate, explainable categories plus reliable company geodata will become the backbone of compliant targeting and measurement.

Dynamic geo-aware personalization

Expect more systems to adapt content by city or region alongside category-based relevance. Product recommendations, support content, and onboarding paths will assemble dynamically based on company location and tech stack.

Deeper taxonomy alignment

Teams will continue converging on industry standards, mapping IAB categories into domain-specific taxonomies. This makes multi-partner orchestration—DSPs, CDPs, CRMs—more seamless and lowers integration costs.

Risk analytics with lifecycle signals

Combining domain registration timelines with location and categories will improve fraud detection, vulnerability assessments, and compliance monitoring—especially in high-stakes sectors and regulated markets.

Putting it all together: a repeatable pattern

• Normalize input domains from signups, imports, or event streams.
• Call Klazify’s categorize endpoint to retrieve categories, IAB mapping, logo, company location, firmographics, registration, and similar domains.
• Cache and index by domain, countryCode, stateCode, and city for fast lookups.
• Map categories to your internal taxonomy and implement deterministic rules for routing and policy.
• Measure coverage and quality, refresh intelligently, and maintain an audit trail.

Example: enforcement logic by geography and category

Below is a conceptual checklist your policy engine can use after enrichment:

• If countryCode is in your restricted list for a given category, block or queue for review.
• If confidence is high for a whitelisted category, auto-approve access or placement.
• Escalate ambiguous cases for human validation, especially for sensitive campaigns.
• Leverage employeesRange and revenue thresholds for priority handling.
• Enrich dashboards with logo_url and tags for faster operator decisions.

Developer-centric highlights

• Single endpoint for comprehensive domain intelligence.
• IAB taxonomy for immediate interoperability with ad tech workflows.
• Company location data fields (city, stateCode, countryCode) for precise geo operations.
• Firmographic and technical signals that compound value for scoring and ops.
• Consistent JSON structure that’s easy to index and query across systems.

Checklist for production readiness

• Establish internal category-to-action mappings and confidence thresholds.
• Implement domain cache with TTL and on-demand refresh capability.
• Create an observability dashboard for enrichment throughput and policy decisions.
• Validate data models with sample cohorts before turning on automated enforcement.
• Document exception handling paths for unknown or emerging domains.

FAQ

How do I use company location data from Klazify to route leads?

Extract city, stateCode, and countryCode from the company object and map them to your territory model. Use these fields to auto-assign owners, apply language preferences, and display region-specific onboarding.

What taxonomy does Klazify use for classification?

Klazify maps categories to the IAB taxonomy, allowing you to plug right into ad tech, brand safety, and contextual targeting workflows without custom category engineering.

Can I classify specific URLs, not just entire domains?

Yes. The categorize endpoint supports URL classification, enabling page-level analysis when a site hosts diverse or localized content areas.

What’s the best way to handle new or obscure domains?

Cache the first response and schedule a smart refresh for domains with limited signals. Combine domain_registration_data with similar_domains to prioritize reviews and refine inferences.

How should I store and refresh Klazify results?

Persist the raw JSON and a normalized view for quick reads. Use a TTL to refresh periodically and a read-through pattern to update near-expiry entries during normal operation.

How do I map Klazify categories to my internal taxonomy?

Create a lookup table from category paths or IAB fields to your internal segments and actions. Start with critical categories, then expand based on observed traffic and policy needs.

What fields are most important for brand safety and compliance?

domain.categories (with confidence and IAB mapping) for contextual decisions, and company.city/stateCode/countryCode for geographic constraints. Pair them with domain_registration_data for additional trust signals.

Try Klazify API for free and start enriching your pipeline with accurate company location data and industry-grade website classification today.