Company Lookup · Registry, Contacts, Tech Stack, Jobs, News
Pricing
from $1.44 / 1,000 company looked ups
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
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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
| Section | Source | Notes |
|---|---|---|
| Identity | JSON-LD Organization on the site, the imprint/legal/contact pages, VIES | VAT 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 |
| Contacts | mailto: and tel: links, JSON-LD contactPoint, text of the contact and legal pages | Emails on the company's own domain are listed first; up to ten each |
| Social | links on the pages to 18 platforms | LinkedIn, X, Facebook, Instagram, YouTube, TikTok, GitHub, Threads, Bluesky, Telegram, Discord, Medium, Crunchbase, Product Hunt, Glassdoor, Pinterest, Mastodon, Trustpilot |
| Tech | response headers and script URLs | 60 fingerprints: shop platforms, CMS, frameworks, analytics, chat, payments, marketing, security, hosting and CDN |
| DNS and registry | DNS-over-HTTPS (MX, NS, TXT, DMARC), RDAP via the IANA registry list | Mail provider (Google Workspace, Microsoft 365, Zoho, Proton…), DNS provider, SPF includes, DMARC policy, domain creation date, registrar |
| Hiring | links on the careers page, then a verified guess by domain name | Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio, BambooHR, Breezy counted through their public job APIs; Teamtailor, Workday, Jobvite, iCIMS detected without a count |
| Apps | Apple's iTunes Search API, Google Play developer page | iOS apps matched by seller name or developer URL |
| News | Google News RSS for the exact company name | Latest headlines with source and date; links are Google's redirect links (use our Google News Scraper for decoded URLs and text) |
| Wikidata | Wikidata search for the official website, then the entity's claims | Founded, headquarters, country, employees, industry, ticker, English Wikipedia summary |
Input
| Field | Type | Default | Description |
|---|---|---|---|
domains | string[] | required | Company websites as domains or URLs, up to 1,000. |
sections | string[] | all nine | identity, contacts, social, tech, dns, hiring, apps, news, wikidata. Deselect to make runs faster. |
newsItems | integer | 5 | Headlines per company (0 to 20). |
jobTitles | integer | 10 | Open job titles to list; the total count is always included. |
validateVat | boolean | true | Check EU VAT numbers against VIES. |
concurrency | integer | 5 | Companies processed in parallel. |
timeoutSecs | integer | 20 | Per-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%).
| Run | Cost |
|---|---|
| Enrich a 100-row lead list | $0.24 |
| Profile 1,000 prospect domains | $2.40 |
| Daily check of 50 competitors (jobs, news, tech changes) | $0.12 a day |
A company takes 5 to 15 seconds (15 to 25 small requests); 1,000 companies finish in about half an hour at the default concurrency.
Example tasks
Ready-made configurations you can open, copy and run as they are:
- Enrich a lead list of domains with full company profiles: five well-known domains turned into full profiles, from a Shopify brand to companies with 700+ open jobs.
Run it from your code
Node.js
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: process.env.APIFY_TOKEN });const run = await client.actor('agentsgearbox/company-lookup').call({ domains: ['stripe.com', 'notion.so'], sections: ['identity', 'contacts', 'hiring', 'tech'] });const { items } = await client.dataset(run.defaultDatasetId).listItems();for (const c of items.filter((i) => i.type === 'company')) console.log(c.domain, c.legalName, c.openJobs, c.platform, c.emails[0]);
Python
from apify_client import ApifyClientclient = ApifyClient(token=os.environ["APIFY_TOKEN"])run = client.actor("agentsgearbox/company-lookup").call(run_input={"domains": ["apify.com"]})for item in client.dataset(run["defaultDatasetId"]).iterate_items():if item.get("type") == "company":print(item["name"], item["vat"], item["hiring"]["openJobs"], item["wikidata"]["employees"])
cURL
curl -s -X POST "https://api.apify.com/v2/acts/agentsgearbox~company-lookup/run-sync-get-dataset-items?token=$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-lookupto 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
statusisOK,BOT_PROTECTED(the site challenged a plain client; DNS, registry, news, apps and Wikidata still work, the site-derived sections are thin) orHTTP_<code>. Inputs that cannot be looked up are freeerrorrows:INVALID(not a domain, an e-mail address, a local host) orUNREACHABLE. The same host in several spellings (https://www.example.com/pricing,example.com,EXAMPLE.COM) is looked up and charged once.nameprefers the JSON-LD organization name, then Wikidata, then the site's own title;legalNamecomes from JSON-LD or VIES only, never guessed.vat.validistrueorfalsefrom VIES;nullmeans the number could not be checked (VIES down or validation disabled). Some member states (Germany among them) do not publish the registered name, soviesNamecan be empty for a valid number.hiring.detectedBytells 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.newsuses the exact company name as the query; short or generic names produce unrelated headlines, so checknamefirst.sectionsFoundlists 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_PROTECTEDwith 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
| Symptom | Cause | Fix |
|---|---|---|
Wrong company in wikidata | Several 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 all | Check wikidata.matchedBy; official website is reliable, name search should be verified |
openJobs: null with an ats name | The board has no public API (Teamtailor, Workday, Jobvite, iCIMS) | The careers URL is still returned; count manually or request support for that board |
Empty emails | The site exposes contact forms only | Nothing to fix; the actor never guesses addresses |
BOT_PROTECTED | Cloudflare, Akamai or similar challenged the request | DNS, registry, Wikidata, news and apps are still returned |
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All of them are pay-per-event, run without a browser, and are compared with their alternatives on agentsgearbox.com.
Support
Email support@agentsgearbox.com or use the issues tab. Compare this actor with alternatives on agentsgearbox.com.