Company Lookup · Registry, Contacts, Tech Stack, Jobs, News avatar

Company Lookup · Registry, Contacts, Tech Stack, Jobs, News

Pricing

from $1.44 / 1,000 company looked ups

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Company Lookup · Registry, Contacts, Tech Stack, Jobs, News

Company Lookup · Registry, Contacts, Tech Stack, Jobs, News

Give it a domain, get one row with everything public about the company: legal name and VAT validated against VIES, emails and phones, social profiles, tech stack, mail and DNS providers, open jobs, apps, latest news and Wikidata facts. No login, no proxies. $2.40 per 1,000; first 3 a month free.

Pricing

from $1.44 / 1,000 company looked ups

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AgentsGearbox

AgentsGearbox

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26 minutes ago

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Company Lookup · registry, contacts, tech stack, jobs, news from a domain

Give it a domain, get one row with everything public about the company: the legal name and VAT number found on its own pages and validated against the EU's VIES service, emails and phones, social profiles, the tech it runs on, who handles its mail and DNS, how old the domain is, how many jobs are open on its applicant tracking system, which apps it publishes, the latest news about it and the Wikidata facts (founded, headquarters, employees, industry, Wikipedia summary). No login, no proxies, no third-party database: every field comes from a public source that is named in the output. Up to 1,000 companies per run. The first 3 companies each month are free for every account.

Built by agentsgearbox. Questions: support@agentsgearbox.com.

What you get

One company item per domain. A real row for stripe.com, shortened:

{
"domain": "stripe.com",
"status": "OK",
"name": "Stripe",
"legalName": "Stripe, LLC",
"description": "Stripe is a suite of APIs powering online payment processing and commerce solutions…",
"country": "Ireland",
"vat": null,
"registrations": [],
"emails": ["media@stripe.com", "notices@stripe.com", "lerequests@stripe.com"],
"phones": [],
"socials": { "x": "https://x.com/stripe", "youtube": "https://www.youtube.com/stripe", "linkedin": "https://www.linkedin.com/company/stripe", "github": "https://github.com/stripe", "crunchbase": "https://www.crunchbase.com/organization/stripe", "instagram": "https://www.instagram.com/stripe", "facebook": "https://www.facebook.com/StripeHQ" },
"tech": [ { "name": "Next.js", "category": "framework" }, { "name": "Google Tag Manager", "category": "analytics" }, { "name": "nginx", "category": "server" } ],
"platform": "Next.js",
"dns": { "mailProvider": "Google Workspace", "dnsProvider": "Amazon Route 53", "spf": true, "spfIncludes": ["_spf.google.com", "…"], "dmarc": "reject", "verificationRecords": ["google-site-verification", "facebook-domain-verification"] },
"registry": { "domain": "stripe.com", "created": "1995-09-12", "expires": "2027-09-11", "registrar": "SafeNames Ltd." },
"hiring": { "careersUrl": "https://stripe.com/jobs", "ats": "Greenhouse", "openJobs": 732, "titles": ["Account Executive, Startups", "Backend Engineer, Payments", "…"], "detectedBy": "domain guess, verified against the board API" },
"apps": { "ios": [ { "name": "Stripe Dashboard", "id": 978516833, "seller": "Stripe, Inc.", "rating": 4.8, "ratings": 24210, "url": "https://apps.apple.com/us/app/…" } ], "googlePlay": { "developerPage": null, "apps": 0 } },
"news": [ { "title": "Polygon Labs completes Coinme acquisition to challenge Visa and Stripe", "source": "The Block", "published": "Fri, 17 Oct 2026 09:15:00 GMT", "link": "https://news.google.com/rss/articles/…" } ],
"wikidata": { "id": "Q20751129", "label": "Stripe", "description": "Irish-American financial services and software company", "inception": "2010-01-01", "headquarters": "San Francisco", "country": "Ireland", "employees": 8000, "industry": ["financial technology"], "wikipedia": "https://en.wikipedia.org/wiki/Stripe,_Inc.", "wikipediaSummary": "Stripe, Inc. is an Irish-American multinational financial services…", "matchedBy": "official website" },
"sectionsFound": ["identity", "contacts", "social", "tech", "dns", "hiring", "apps", "news", "wikidata"],
"pagesFetched": 7,
"fetchedAt": "2026-10-17T15:45:02.311Z"
}

For a company with a VAT number on its site (here apify.com), the identity block is validated:

"legalName": "Apify Technologies s.r.o.",
"country": "Czechia",
"vat": { "number": "CZ04788290", "country": "CZ", "valid": true, "viesName": "Apify Technologies s.r.o.", "viesAddress": "Vodičkova 704/36, 110 00 Praha 1" },
"address": "Na Příkopě 959/27, 11000, Prague, CZ"

Flat fields for spreadsheets: vatValid, socialCount, platform, mailProvider, domainCreated, ats, openJobs, iosApps, newsCount, employees. Plus one free summary item per run and a free error item for domains that cannot be reached (UNREACHABLE) or are not valid domains.

Where each field comes from

SectionSourceNotes
IdentityJSON-LD Organization on the site, the imprint/legal/contact pages, VIESVAT numbers are found with country-specific patterns (IT, DE, FR, ES, NL, GB and all EU formats) and validated live; registration numbers (Companies House, Handelsregister, REA, SIREN, KvK, EIN) are extracted as written on the page
Contactsmailto: and tel: links, JSON-LD contactPoint, text of the contact and legal pagesEmails on the company's own domain are listed first; up to ten each
Sociallinks on the pages to 18 platformsLinkedIn, X, Facebook, Instagram, YouTube, TikTok, GitHub, Threads, Bluesky, Telegram, Discord, Medium, Crunchbase, Product Hunt, Glassdoor, Pinterest, Mastodon, Trustpilot
Techresponse headers and script URLs60 fingerprints: shop platforms, CMS, frameworks, analytics, chat, payments, marketing, security, hosting and CDN
DNS and registryDNS-over-HTTPS (MX, NS, TXT, DMARC), RDAP via the IANA registry listMail provider (Google Workspace, Microsoft 365, Zoho, Proton…), DNS provider, SPF includes, DMARC policy, domain creation date, registrar
Hiringlinks on the careers page, then a verified guess by domain nameGreenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio, BambooHR, Breezy counted through their public job APIs; Teamtailor, Workday, Jobvite, iCIMS detected without a count
AppsApple's iTunes Search API, Google Play developer pageiOS apps matched by seller name or developer URL
NewsGoogle News RSS for the exact company nameLatest headlines with source and date; links are Google's redirect links (use our Google News Scraper for decoded URLs and text)
WikidataWikidata search for the official website, then the entity's claimsFounded, headquarters, country, employees, industry, ticker, English Wikipedia summary

Input

FieldTypeDefaultDescription
domainsstring[]requiredCompany websites as domains or URLs, up to 1,000.
sectionsstring[]all nineidentity, contacts, social, tech, dns, hiring, apps, news, wikidata. Deselect to make runs faster.
newsItemsinteger5Headlines per company (0 to 20).
jobTitlesinteger10Open job titles to list; the total count is always included.
validateVatbooleantrueCheck EU VAT numbers against VIES.
concurrencyinteger5Companies processed in parallel.
timeoutSecsinteger20Per-request timeout.

Pricing

Try it free. The first 3 companies each calendar month are free for every Apify account, with nothing to enter: the actor keeps count in a small key-value store in your account (free-slice-company-lookup) and charges only from the 4th on. The free results are real results you keep; the counter resets on the first of each month.

Pay per event: $0.0024 per company (company), that is $2.40 per 1,000 companies, 40% under the most used company-data actor on the Store. Summary and error records are free; a domain that cannot be reached costs nothing. Apify plans above Free get an automatic discount on every event (10% to 40%).

RunCost
Enrich a 100-row lead list$0.24
Profile 1,000 prospect domains$2.40
Daily check of 50 competitors (jobs, news, tech changes)$0.12 a day

A company takes 5 to 15 seconds (15 to 25 small requests); 1,000 companies finish in about half an hour at the default concurrency.

Example tasks

Ready-made configurations you can open, copy and run as they are:

Run it from your code

Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('agentsgearbox/company-lookup').call({ domains: ['stripe.com', 'notion.so'], sections: ['identity', 'contacts', 'hiring', 'tech'] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const c of items.filter((i) => i.type === 'company')) console.log(c.domain, c.legalName, c.openJobs, c.platform, c.emails[0]);

Python

from apify_client import ApifyClient
client = ApifyClient(token=os.environ["APIFY_TOKEN"])
run = client.actor("agentsgearbox/company-lookup").call(run_input={"domains": ["apify.com"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
if item.get("type") == "company":
print(item["name"], item["vat"], item["hiring"]["openJobs"], item["wikidata"]["employees"])

cURL

curl -s -X POST "https://api.apify.com/v2/acts/agentsgearbox~company-lookup/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
-H 'Content-Type: application/json' -d '{"domains":["stripe.com"]}'

For AI agents

Give your agent hands. "Research this company" as a tool call: instead of fetching ten pages, three APIs and a registry and reasoning about each, the agent gets one verified row back, priced per company. Doing the same by hand takes a researcher ten to fifteen minutes per company; this actor returns it in about ten seconds for a quarter of a cent.

  • MCP, this actor only: add https://mcp.apify.com?tools=agentsgearbox/company-lookup to Claude Desktop, Claude Code, Cursor or any MCP client (with your Apify token), then ask for "a profile of notion.so: legal entity, open jobs, tech stack and latest news".
  • MCP, all agentsgearbox actors: https://mcp.apify.com?tools=agentsgearbox/telegram-channel-scraper,agentsgearbox/google-play-reviews-scraper,agentsgearbox/substack-scraper,agentsgearbox/google-news-scraper,agentsgearbox/brand-name-generator,agentsgearbox/ai-readiness-audit,agentsgearbox/company-lookup,agentsgearbox/app-intelligence,agentsgearbox/app-store-reviews-scraper
  • No Apify account? This actor is eligible for Apify's agentic payments: an agent can buy a spend-capped token through agi.apify.com (x402, MPP or Skyfire) and call the API directly.
  • Prices are per result and known in advance; unreachable domains come back as free error records instead of failed runs.

Reading the results

  • status is OK, BOT_PROTECTED (the site challenged a plain client; DNS, registry, news, apps and Wikidata still work, the site-derived sections are thin) or HTTP_<code>. Inputs that cannot be looked up are free error rows: INVALID (not a domain, an e-mail address, a local host) or UNREACHABLE. The same host in several spellings (https://www.example.com/pricing, example.com, EXAMPLE.COM) is looked up and charged once.
  • name prefers the JSON-LD organization name, then Wikidata, then the site's own title; legalName comes from JSON-LD or VIES only, never guessed.
  • vat.valid is true or false from VIES; null means the number could not be checked (VIES down or validation disabled). Some member states (Germany among them) do not publish the registered name, so viesName can be empty for a valid number.
  • hiring.detectedBy tells you whether the job board was linked from the site or found by trying the company's name on the common boards and verifying the API answered.
  • news uses the exact company name as the query; short or generic names produce unrelated headlines, so check name first.
  • sectionsFound lists which sections returned data, so you can filter rows before paying attention to them.

Limitations, stated plainly

  • Everything comes from public pages and free registries. There is no email guessing, no LinkedIn scraping and no paid data behind it; if a company does not publish a phone number, you will not get one.
  • Company registries other than VIES (Companies House, Handelsregister, OpenCorporates) need API keys and are not queried; their numbers are extracted from the site's own legal pages when present.
  • Sites behind aggressive bot protection return BOT_PROTECTED with the sections that do not depend on the site.
  • Tech detection recognises 60 common tools by their script URLs and headers; it is a fingerprint, not a full BuiltWith report.

Troubleshooting

SymptomCauseFix
Wrong company in wikidataSeveral Wikidata entities can share an official website; the actor keeps those whose website matches the domain and takes the best-described one (most Wikipedia sitelinks). When Wikidata lists several countries, country is the preferred one or the headquarters' country and wikidata.countries lists them allCheck wikidata.matchedBy; official website is reliable, name search should be verified
openJobs: null with an ats nameThe board has no public API (Teamtailor, Workday, Jobvite, iCIMS)The careers URL is still returned; count manually or request support for that board
Empty emailsThe site exposes contact forms onlyNothing to fix; the actor never guesses addresses
BOT_PROTECTEDCloudflare, Akamai or similar challenged the requestDNS, registry, Wikidata, news and apps are still returned

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Support

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