Get a full company profile from just a domain name

Account research usually means six browser tabs per company: the website for contacts, a tech-lookup tool, a DNS checker, the careers page, a company database for headcount and headquarters, and an SEO checker. Multiply by a few hundred accounts and the research costs more than the deal. This guide shows how to get all of that from a domain name alone, merged into one row per company, for $50 per 1,000 companys.

What you get

Each domain becomes one flat, scored row with up to seven sections. A real row from a recorded run:

{
  "domain": "stripe.com",
  "websiteUrl": "https://stripe.com",
  "companyName": "Stripe",
  "description": "Irish-American payment technology company",
  "emails": [
    "[email protected]"
  ],
  "phones": [],
  "socials": {},
  "linkedinUrl": "https://www.linkedin.com/company/stripe",
  "twitterUrl": "https://twitter.com/stripe",
  "facebookUrl": "https://www.facebook.com/175383762511776",
  "instagramUrl": null,
  "youtubeUrl": null,
  "cms": null,
  "ecommercePlatform": null,
  "analytics": [
    "Google Tag Manager"
  ],
  "adPixels": [],
  "chatWidget": null,
  "paymentProviders": [],
  "technologyCount": 6,
  "emailProvider": "Google Workspace",
  "dnsProvider": "Amazon Route 53",
  "spfPolicy": "~all",
  "dmarcPolicy": "reject",
  "emailSecurityGrade": "A",
  "registrar": "SafeNames Ltd.",
  "domainAgeDays": 11345,
  "tlsValid": true,
  "tlsDaysUntilExpiry": 67,
  "securityGrade": "A",
  "securityScore": 95,
  "seoScore": 90,
  "seoIssues": [
    "Multiple H1 tags found"
  ],
  "openJobs": 716,
  "hiringVelocity": "high",
  "topDepartments": [
    "1185 Account Executives (EMEA)",
    "Global Operations",
    "5112 General University"
  ],
  "industries": [
    "financial services",
    "mobile payment industry"
  ],
  "headquarters": "San Francisco",
  "country": "United States",
  "employees": 8000,
  "revenue": null,
  "founders": [
    "Patrick Collison",
    "John Collison"
  ],
  "foundedAt": "2010-01-01",
  "crunchbaseId": "stripe",
  "wikidataQid": "Q7624104",
  "profileCompleteness": 100,
  "warnings": [],
  "error": null,
  "scrapedAt": "2026-10-04T19:24:39.512Z"
}

Every section is independent. If one check finds nothing or fails, its fields stay empty and a line is added to warnings — you always get the row, and profileCompleteness shows at a glance how much of it filled in.

Where each section comes from

Contacts come from the company's homepage plus one likely contact page (or from Wikidata when the site lists none). DNS and email security come from public DNS and RDAP records, and the tech stack is fingerprinted from the same homepage and contact page. The security audit, SEO, hiring and company facts use the same code as the specialist tools in the suite — Domain Security Audit, On-Page SEO Audit, Hiring Signals and Wikidata Entity Enrichment — but every section runs inside Company 360 itself, in parallel. Company facts come from Wikidata, so they are richest for companies that have a Wikidata entry; hiring data appears when the company runs a supported ATS job board under its own name.

Step-by-step

1. Open the tool and paste your list into Domains. Full URLs and www. prefixes are stripped automatically, so a CRM export works as-is.
2. Keep all seven Include… switches on for a full profile, or turn off the sections you don't need — each one you skip makes the run faster.
3. Click Start. Each domain's checks run in parallel, so a single profile typically finishes in under a minute.
4. Export to CSV or Excel, or read the dataset through the API.

Run Company 360: full company profile from a domain on Apify →

Call it from code

import json
import os
from apify_client import ApifyClient
client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("webdatatools/company-360").call(run_input=json.loads("{\n    "domains": [\n        "apify.com",\n        "stripe.com"\n    ],\n    "includeContacts": true,\n    "includeTechStack": true\n}"))
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('webdatatools/company-360').call({
    "domains": [
        "apify.com",
        "stripe.com"
    ],
    "includeContacts": true,
    "includeTechStack": true
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/acts/webdatatools~company-360/run-sync-get-dataset-items" 
-H "Authorization: Bearer $APIFY_TOKEN" 
-H "Content-Type: application/json" 
-d '{"domains":["apify.com","stripe.com"],"includeContacts":true,"includeTechStack":true}'

Recipes

Enrich a CRM export before outreach

Export accounts with their website, paste the domains (or point inputDatasetId at a dataset and inputField at the column holding the domain) and import the result back on domain. Reps get headcount, HQ, tech stack and a contact channel on every account without opening a single tab.

Qualify agency or SaaS prospects by their stack

Running a Shopify agency, or selling a product that competes with a specific chat widget or analytics tool? Profile a long list with only Include tech stack, Include contacts and Include company facts on, then filter on ecommercePlatform, cms, chatWidget or analytics. You get a target list of companies that use exactly what you work with.

Spot technical opportunities

For a security, deliverability or SEO service, the profile is a ready-made reason to reach out: dmarcPolicy missing or set to none, tlsDaysUntilExpiry low, securityGrade poor or a low seoScore with a list of seoIssues. Sort by the weakness you fix.

How much does it cost?

Primary event rates from a catalog snapshot; this is not the total price of a run. Additional charge events and Actor Start fees may apply; start fees can scale with memory. Check the Actor's Pricing tab on Apify for all events, conditions and current plan-specific rates, and set a maximum run budget before starting.

One result is one company profile, and that is the whole bill: every section runs inside Company 360, so no other tool runs are started and nothing is charged on top. Switching sections off makes runs faster, not cheaper; set Maximum cost per run to cap the total.

How it compares

Need more depth on one section? Each specialist tool behind Company 360 is available on its own — for example the full Tech Stack Detector or the Email Extractor, which crawls up to your chosen page budget instead of just the homepage and one contact page.

Responsible use

All sources are public: the company's own website, public DNS and RDAP records, public job boards and Wikidata. Contact details can still include personal data (a named person's email), so use them under a lawful basis such as legitimate interest, follow GDPR, KVKK and CAN-SPAM rules for outreach, and honour opt-outs.

FAQ

Why is a section empty even though I switched it on?

That check found nothing for the domain, failed or timed out. The reason is in warnings, and the rest of the row is unaffected.

Why is hiringVelocity empty for most companies?

Hiring data is matched by the domain's name (apify for apify.com) against public ATS job boards. Most companies don't run a board under exactly that name, so an empty value is normal. For a reliable hiring picture, give the Hiring Signals tool the company's actual board URL.

How is profileCompleteness calculated?

It's the share of the sections you switched on that returned usable data, rounded to a whole percent.

Can I feed it domains from another tool?

Yes. Set inputDatasetId to another run's dataset and inputField to the column that holds the domain or website; those are combined with anything in Domains.

How fast is it for a long list?

Each profile runs several checks in parallel, and checks are throttled to stay within Apify's concurrent-run limits, so very long lists take proportionally longer. Split huge lists across scheduled runs if you need results continuously.