How to Browse Websites by Category or Technology

October 30, 2026
How to Browse Websites by Category or Technology

You need to let users or systems browse websites by category and technology: block adult or risky content, enrich a signup with a company’s stack and size, or audit where your ads appeared. By the end of this guide you’ll have a working flow using Klazify’s API to classify domains, index them by IAB category and detected technologies, and expose that data for browsing and filtering in your own tools.

Why Klazify fits browsing by category and technology

Browsing by category or tech only works if your classifier sees real page content, handles multiple languages, and maps to a taxonomy you can operationalize. Klazify’s domain intelligence API lines up with those needs for building category- and technology-driven discovery:

Illustration: How to Browse Websites by Category or Technology
  • Accurate website categorization using AI: It analyzes on-page content, not just metadata, surfacing niche topics you actually filter on (for example, distinguishing mobile phones versus general consumer electronics when curating a catalog).
  • Global coverage: Multilingual content analysis helps when your browse and block lists span multiple countries and languages.
  • Real-time classification: Fresh crawls avoid stale categories when pages change, which is critical for ad safety audits and dynamic allow/deny lists.
  • Industry-level categories: Results map to the IAB taxonomy, so your “browse by category” aligns with ad-tech workflows and policy rules.
  • Simple API integration: A single REST endpoint to classify a URL plus rich company/technology fields keeps the browse pipeline straightforward.
  • Compliance and filtering: Precise categories and business tags support targeted whitelisting/blacklisting in corporate networks and parental controls.

Architecture for “browse by category/technology”

To power a browsable experience, you’ll build and maintain a lightweight index keyed by domain, with derived views by category and by technology. A typical flow:

  1. Ingest domains or URLs from your source (signups, logs, ad placements, CSV uploads).
  2. Call Klazify’s categorization endpoint for each domain and store the response.
  3. Normalize and index:
    • By category (IAB mappings and category names)
    • By technology (detected stack items)
    • By company attributes (size, location, tags)
  4. Expose browse/filter interfaces that group domains by those facets, with confidence scores where relevant.

You can also use Klazify’s discovery capabilities via POST https://www.klazify.com/api/discovery to support exploratory browsing workflows at a higher level. See the Documentation for details.

Make your first classification call

Start by classifying a single domain to see categories, detected technologies, and company fields you’ll later index. Replace YOUR_API_KEY with your own key.

curl -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/"
  }'

Failed or unreachable calls are not billed. You can safely implement retries with exponential backoff to handle transient network issues.

Example response and how to use it

Here’s a representative JSON response. Use it to map websites to categories, detect technologies, attach company profile data, and cluster similar domains for discovery.


{
    "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"
    ]
}

Key fields for browsing and filtering:

  • domain.categories: Use name for your human-readable “Browse by category.” If present, use IAB-632-596 to align with IAB taxonomy for ad-tech and brand safety. The confidence score helps decide primary vs. secondary category display.
  • domain.logo_url: Render a logo in your UI or store it for visual context.
  • objects.company.*: Enrich your browse facets with company name, location, employeesRange, tags, and tech. The tech array powers “Browse by technology.”
  • domain_registration_data.*: Useful for sorting or filtering by domain age or time-to-expiration (e.g., risk or maturity heuristics).
  • similar_domains: Build “You may also like” or cluster exploration within your browse experience.

Code: fetch, parse, and index for browse

This Python snippet requests classification for a domain, extracts categories, IAB mapping, technologies, and company attributes, and prepares them for indexing.

import requests

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

def classify(url: str) -> dict:
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json",
    }
    payload = {"url": url}
    resp = requests.post(ENDPOINT, json=payload, headers=headers, timeout=30)
    resp.raise_for_status()
    data = resp.json()
    if not data.get("success"):
        return {}
    return data

def to_index(doc: dict) -> dict:
    # Build a compact index document for browse experiences
    domain = doc.get("domain", {})
    cats = domain.get("categories", []) or []
    iab = []
    readable_cats = []
    for c in cats:
        if "name" in c:
            readable_cats.append({"name": c["name"], "confidence": c.get("confidence")})
        # IAB mapping key present in first item of the example; check generically
        for k, v in c.items():
            if k.startswith("IAB-"):
                iab.append({"code": k, "path": v})
    company = (doc.get("objects") or {}).get("company") or {}
    reg = doc.get("domain_registration_data") or {}
    return {
        "url": company.get("url"),
        "company_name": company.get("name"),
        "logo_url": domain.get("logo_url"),
        "categories": readable_cats,
        "iab_mappings": iab,
        "company_tags": company.get("tags") or [],
        "technologies": company.get("tech") or [],
        "employees_range": company.get("employeesRange"),
        "location": {
            "city": company.get("city"),
            "stateCode": company.get("stateCode"),
            "countryCode": company.get("countryCode"),
        },
        "domain_age_date": reg.get("domain_age_date"),
        "domain_expiration_date": reg.get("domain_expiration_date"),
        "similar_domains": doc.get("similar_domains") or [],
    }

if __name__ == "__main__":
    data = classify("https://www.apple.com/")
    index_doc = to_index(data)
    # Persist index_doc to your datastore (e.g., Postgres, Elasticsearch, BigQuery)
    print(index_doc)

Turn the response into a browsable catalog

Use the parsed fields to expose three complementary browse paths. The same underlying response powers all of them:

Browse Mode Primary Fields Navigation/Filtering Typical Actions
By Category domain.categories[].name, domain.categories[].confidence, IAB-632-596 Group by top-level or full path; sort within a category by confidence Block/allow content; segment audiences; audit ad placements by IAB line item
By Technology objects.company.tech[] Filter by individual technologies; combine with company tags Prospect accounts using a given stack; enrich signups with detected tools
By Company objects.company.(name, url, employeesRange, city/stateCode/countryCode, tags), domain.logo_url Facet by size or region; show logo and tags for recognition Route leads by size/region; build allowlists; inventory partners

How to act on the result

Real-time filtering and blocking

  • For each URL, choose the highest-confidence category as primary; keep others as secondary tags.
  • Map IAB codes to your policy engine for block/allow decisions.
  • Cache decisions per domain for a fixed TTL to minimize repeated calls.

Ad safety and placement audits

  • Reclassify landing pages from your ad logs; group by IAB mapping to verify placements.
  • Use similar_domains to expand audits to close alternatives that might receive spillover traffic.

Signup and account enrichment

  • When a user enters a business email or domain, classify the domain and store company.name, employeesRange, tags, and tech.
  • Route to the right segment (e.g., enterprise vs SMB) using employeesRange and tags.

Operational details that save time

Batching and throughput

  • Queue new domains and process them asynchronously. Persist results so subsequent requests read from your datastore first.
  • If you need discovery or exploration at scale, use POST https://www.klazify.com/api/discovery to complement your pipeline. See the Documentation for usage notes.

Caching and TTL

  • Cache by domain. A common approach is a multi-day TTL, refreshed opportunistically when you see traffic or signups for that domain.
  • If category confidence changes or tech stack expands, upsert your index. Track first-seen and last-seen timestamps to monitor drift.

Handling unknown or newly created domains

  • When no categories are returned, place the domain in a pending review queue and retry after a delay. Keep user experience non-blocking by defaulting to a neutral category until classification is available.
  • Use domain_registration_data.domain_age_date to decide if a young domain needs extra scrutiny in security or ads contexts.

Error handling and billing safety

  • Implement retries for timeouts and 5xx responses with exponential backoff.
  • Failed or unreachable calls are not billed, so you can confidently retry without cost surprises.

Mapping to your own taxonomy

  • Use the IAB mapping (e.g., the IAB-632-596 field) as a stable key to convert to your internal taxonomy. Maintain a simple translation table keyed by IAB path or code.
  • For categories without IAB keys, fall back to domain.categories[].name and a best-match rule in your mapper.

Building your browse index

With parsed objects, maintain three indexes keyed for fast UI queries:

  • Category index: key = category path; values = domain list, with confidence and logo.
  • Technology index: key = technology slug; values = domain list, with tags and company size.
  • Company index: key = company name or normalized domain; values = profile fields and categories.

In search stores like Elasticsearch or OpenSearch:

  • Store both hierarchical and flattened category paths (e.g., full path “/Computers & Electronics/Consumer Electronics” and top-level “Computers & Electronics”).
  • Index technology names as keyword fields for exact matching and as text fields for partial matching in UI search bars.
  • Add numeric fields for domain_age_days_ago and domain_expiration_days_left for range filters.

Quality controls for browsing

  • Primary category selection: If multiple categories exist, select the one with the highest confidence and display the rest as secondary tags.
  • UI hints: Show confidence as a subtle bar or tooltip for power users without overwhelming the average user.
  • Review loops: For edge cases (e.g., categories change beyond a threshold), flag for manual review.

Security and compliance browsing

For corporate filtering or parental controls, build rules that operate on category paths and IAB mappings. For example:

  • Deny-list certain IAB branches when users are on guest networks.
  • Allow-list educational or productivity branches for student profiles.
  • Age of domain filters to treat newly registered domains with caution.

Using similar domains for exploration

Enhance browsing with similar_domains to encourage exploration and completeness:

  • Show “Related sites” carousels within a category.
  • Augment audits by checking similar domains when investigating placements.
  • During enrichment, propose related vendors or partners based on similarity clusters.

Discovery for browse scaffolding

When you need to seed or expand your browse index programmatically, use the discovery capability via POST https://www.klazify.com/api/discovery. It supports scenarios like sourcing domains within certain themes or tech spaces before you classify them in-depth. Consult the Documentation and MCP to align this with your data model and workflows.

Production checklist

  • Authentication: Store YOUR_API_KEY securely (e.g., secrets manager). Rotate periodically.
  • Timeouts and retries: Set conservative timeouts and exponential backoff. Log failures for monitoring.
  • Idempotency: Cache by normalized domain (lowercased, strip scheme, no trailing slash).
  • Storage: Upsert on subsequent classifications; keep changed-at timestamps to reconcile downstream caches.
  • Pagination/batching: Batch your classification jobs; rate-limit client-side if needed. Monitor queue depth and response times.
  • Observability: Track hit ratio of your cache, average category confidence, and volume of unknowns to tune TTLs.

Cost control tips

  • Cache aggressively and deduplicate by domain to avoid unnecessary calls.
  • Schedule refreshes during off-peak hours, staggering by domain hash to avoid spikes.
  • Take advantage of the 7-day trial on the Starter plan ($39.99/mo) to validate your browse pipeline at low risk.

Common patterns for integration

Ad-tech and brand safety

  • Classify landing pages and placements.
  • Map IAB fields to campaigns and brand policies.
  • Audit reports by grouping spend or impressions by category.

Content filtering

  • Use primary category and IAB mapping to enforce network policies.
  • Override specific domains with an admin allow/deny list.

CRM and lead enrichment

  • Attach employeesRange, tags, and tech to accounts for routing and scoring.
  • Create segments like “uses stripe” or “Consumer Electronics” for outreach.

FAQs

  • How should I choose the primary category for a domain?
    Use the category with the highest confidence as primary. Keep additional categories as secondary tags for filtering or search.
  • How do I map Klazify categories to my internal taxonomy?
    Use the IAB mapping (e.g., IAB-632-596) as a stable bridge. Maintain a translation table from IAB paths or codes to your internal categories.
  • What should I do when a domain has no classification yet?
    Default to a neutral state, enqueue the domain for retry, and surface it in a review queue. You can also use domain age to prioritize manual checks.
  • How often should I refresh cached classifications?
    A multi-day TTL works for most catalogs. Refresh sooner for high-traffic or policy-sensitive domains, and stagger refreshes to avoid spikes.
  • Can I explore domains by technology to seed my browse catalog?
    Yes. Use POST https://www.klazify.com/api/discovery to complement classification, then call the categorize endpoint for each discovered domain you keep.

Start building your browsable catalog of websites by category, technology, and company data with Klazify. Create a free account to try the API with the Starter plan’s 7-day trial: Register. For implementation details and field references, visit the Documentation and learn more about integration controls in MCP. Visit https://www.klazify.com to see how teams classify and enrich domains at scale.

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