Company Domain Enrichment

Feed in a company domain and get seven independent signals back in one call: domain registration (via RDAP), DNS records and email provider (via Cloudflare DoH), detected tech stack, Shopify storefront presence, TLS certificate history (via public Certificate Transparency logs), a hiring signal detected across six ATS platforms, and an email-route/provider fingerprint. Each source is an independent public API or passive check — no login for any of the seven — and each is billed only when it actually returns data for that domain.

Who it's for

The accountable_eel catalogue sells company intelligence columns for outbound. Each actor takes a list of domains or company identifiers and returns one flat, stably-named row per input — firmographics, registry IDs, tech stack, email route, hiring activity — the shape a Clay table, an n8n workflow, or an AI agent can consume without post-processing. Pricing is pay-per-event and per-domain: a few tenths of a cent for a row that was actually found, and nothing for a miss, so a list that doesn't enrich costs you next to nothing. Where an official source exists — VIES, GLEIF, SEC EDGAR, Brønnøysund, PRH, RDAP — it is queried directly instead of scraped. No seat licence, no monthly minimum, no credit system to decode.

This one is a composite: instead of running seven separate lookups against a domain list, it runs all seven in one call and returns one row per domain, with each source's result nested under its own key and billed independently.

Why this one

• Seven signals, one call, one row per domain. You don't glue together seven actors or seven API calls client-side — registration, dns, techStack, shopify, tlsCertificate, hiring, and emailRoute all land in the same dataset row.
• Official or primary sources, not scraped guesses. Registration comes from RDAP, DNS from Cloudflare's resolver, TLS history from public Certificate Transparency logs, and hiring data from each ATS platform's own public API — the same sources this portfolio's single-purpose actors use.
• You only pay for sources that return something. A domain with no Shopify storefront costs nothing for the shopify source that run; a domain with no ATS board costs nothing for hiring. Check sourcesFound on each row to see exactly what was billed.
• columns controls both output and cost. Narrowing to the three sources you actually use isn't just a display filter — the unselected sources are never queried, so it's a real way to cut the per-domain price.
• No proxies, no SMTP, nothing stored between runs. All seven sources are plain HTTPS calls a cloud runtime can make directly; nothing about this actor requires residential IPs or an outbound mail connection.

What you get

One dataset row per input domain. found is true if at least one of the seven sources returned data; each source field is null when that specific source found nothing (a non-Shopify site returns shopify: null, not an error).

Top-level fields

Field	Type	Description
query	string	The domain as submitted
found	boolean	true if at least one of the seven sources returned data
status	string	"OK" or an error status for the row
sourcesFound	array of strings	Which sources actually returned data (and were billed) for this domain
sourcesTried	array of strings	Which sources were attempted (the sources selected via columns, minus any that errored before returning)
scrapedAt	ISO 8601 string	When this row was fetched

registration — RDAP domain registration lookup

Field	Type	Description
domain	string	The registered domain name, uppercased as returned by RDAP
registrar	string or null	Registrar name
registrantOrg	string or null	Registrant organization, when not privacy-redacted
registeredAt	ISO 8601 string or null	Original registration date
expiresAt	ISO 8601 string or null	Current expiry date
status	array of strings	RDAP status codes (e.g. clientTransferProhibited)
nameservers	array of strings	Nameserver hostnames

dns — A and MX records via Cloudflare DoH

Field	Type	Description
domain	string	The domain queried
aRecords	array of strings	IPv4 addresses from A records
mxRecords	array of strings	MX records as "<priority> <host>."
emailProvider	string or null	"Google Workspace", "Microsoft 365", "other", or null if there are no MX records

techStack — homepage HTML/header signature match

Field	Type	Description
domain	string	The domain checked
detectedCount	number	Count of signatures matched
detected	array of objects	Each entry is { name, category }, e.g. { "name": "Next.js", "category": "framework" }

shopify — storefront confirmation via /products.json

Field	Type	Description
domain	string	The domain checked
isShopify	boolean	Always true when this object is present (it's null at the top level otherwise)
sampleProductCount	number	Number of products returned by the probe (up to 10)
sampleProducts	array of objects	Up to 5 entries, each { title, vendor }

tlsCertificate — current certificate + Certificate Transparency history

Field	Type	Description
domain	string	The domain checked
currentIssuer	string or null	Issuer name of the most recent certificate
currentNotBefore	ISO 8601 string or null	Validity start of the most recent certificate
currentNotAfter	ISO 8601 string or null	Validity end of the most recent certificate
currentSanCount	number	Count of subject alternative names on the current certificate
historicalCertCount	number	Total certificates ever logged for this domain in CT logs

hiring — ATS board detection across six platforms

Field	Type	Description
domain	string	The domain checked
atsDetected	boolean	Always true when this object is present
atsPlatform	string	The platform with the most open roles, when more than one matched
atsPlatforms	array of strings	Every platform that had a live board (usually one: greenhouse, lever, ashby, workable, smartrecruiters, personio)
openRoles	number	Total open roles across matched platforms
roleCountsByDepartment	object	Role counts keyed by department name (or "Unspecified")
hiringFor	object	Keyed by job family (sales, engineering, marketing, customer-success, executive by default, or your hiringForGroups); each value is { hiring: boolean, count: number }
newestPostingAt	ISO 8601 string or null	Publish date of the most recent posting found
postingsLast30d	number	Postings published in the last 30 days
postingsPrev30d	number	Postings published in the 30 days before that
velocity30d	number or null	postingsLast30d / postingsPrev30d, rounded to 2 decimals; null if the prior window has zero postings
sampleTitles	array of strings	Up to 5 most recent distinct job titles

emailRoute — MX/provider fingerprint, no SMTP

Field	Type	Description
domain	string	The domain checked
hasMxRecord	boolean	Whether the domain has explicit MX records
mxHosts	array of strings	MX hostnames (empty if mail routes via the bare A record)
emailProvider	string or null	"Google Workspace", "Microsoft 365", "Zoho Mail", "Mailgun", "SendGrid", "Proton Mail", "other", or null
isDisposableDomain	boolean	Checked against a community-maintained disposable-domain blocklist, refreshed each run

Price

• Domain registration match: $5 per 1,000 domains
• DNS match: $5 per 1,000 domains
• Tech stack match: $5 per 1,000 domains
• Shopify storefront match: $5 per 1,000 domains
• TLS certificate match: $5 per 1,000 domains
• Hiring signal match: $5 per 1,000 domains
• Email route match: $5 per 1,000 domains

Plus a $0.005 start fee per run. Each event above is billed independently, only when it actually returns data — misses (found:false) are never charged.

This is a composite actor, so it doesn't bill per domain — it bills per source that returns data for that domain, and there are seven of them. At the FREE tier ($0.005 per source), the worst case for a single domain is all seven sources hitting: 7 × $0.005 = $0.035 for that one domain, before volume discounts bring the per-source price down to $0.0038 on paid tiers. Most domains will land somewhere below that — a domain with no Shopify storefront and no ATS board only gets billed for the sources that actually found something.

Run 1,000 domains and every one hits all seven sources, and you're looking at up to $35 (plus the one-time $0.005 actor start) — that's the ceiling, not the typical case, since shopify and hiring in particular miss on most domains. Compare that ceiling to a credit-based enrichment platform: the same 1,000 rows there run $80–$400. Use columns to drop sources you don't need and the real number falls further, since a source that isn't selected is never queried or billed.

How to use

1. In the Apify Console. Open the actor page and click Start — the domains field is already pre-filled with a working example. Results land in the run's dataset as soon as each item is found.
2. Via the API. Call it directly with a POST request — no Console needed once you have an API token:

   curl "https://api.apify.com/v2/acts/accountable_eel~company-domain-enrichment/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
     -X POST \
     -H "Content-Type: application/json" \
     -d '{"domains":["stripe.com"]}'
   

3. On a schedule. Save this actor as an Apify Task with the input you want, then add a Schedule (hourly, daily, weekly) so it runs on its own — no server of your own required.

1. Paste a list of domains into domains — one per line, bare (stripe.com) or full URL (https://stripe.com) both work.
2. Turn on testRun first to check your list against just the first 5 domains before committing to a full run.
3. Use columns to pick which of the seven sources you actually want. Every source you drop is neither queried nor billed for that run — this is the main lever for controlling cost.
4. Read the result: one row per domain, with each selected source nested under its own key (row.registration, row.dns, row.techStack, and so on), null when that source found nothing. Check sourcesFound on the row to see exactly what was billed.
5. If you use the hiring source, optionally replace the default five job families with hiringForGroups to match the segments you actually sell into.

Input

{
  "domains": [
    "stripe.com"
  ]
}

One company domain per line. Each domain is checked against seven independent sources — you're only charged for the ones that actually return something. Accepted formats: stripe.com, https://stripe.com.

{
  "domains": ["stripe.com"],
  "testRun": false,
  "onlyFound": false,
  "maxConcurrency": 5
}

domains is a list of company domains (a bare domain or a full URL both work — www. and the path are stripped automatically). Each domain is checked against all seven sources; one dataset row is returned per domain, and you're only charged for the sources that actually return something for it. Turn on testRun to try your list against just the first 5 domains before running the full batch. Optional includeKeywords / excludeKeywords filter rows by content, maxResults caps the run early, columns lets you pick which of the seven sources to include, and hiringForGroups customizes the job families the hiring source reports on.

Sample output

query	found	status	registration	dns	techStack	shopify	tlsCertificate	hiring	emailRoute	scrapedAt
stripe.com	true	OK	{"domain":"STRIPE.COM","registrar":"SafeNames Ltd.","registrantOrg":null,"registeredAt":"1995-09-12T04:00:00Z","expiresAt":"2027-09-11T04:00:00Z","status":["client delete prohibited","client transfer prohibited","client update prohibited","server delete prohibited","server transfer prohibited","server update prohibited"],"nameservers":["NS-1087.AWSDNS-07.ORG","NS-1882.AWSDNS-43.CO.UK","NS-423.AWSDNS-52.COM","NS-705.AWSDNS-24.NET"]}	{"domain":"stripe.com","aRecords":["198.137.150.161","198.202.176.161"],"mxRecords":["10 aspmx.l.google.com.","20 alt1.aspmx.l.google.com.","20 alt2.aspmx.l.google.com.","30 aspmx2.googlemail.com.","30 aspmx3.googlemail.com."],"emailProvider":"Google Workspace"}	{"domain":"stripe.com","detectedCount":1,"detected":[{"name":"Next.js","category":"framework"}]}		{"domain":"stripe.com","currentIssuer":"C=US, O=DigiCert Inc, CN=DigiCert Global G2 TLS RSA SHA256 2020 CA1","currentNotBefore":"2026-08-17T00:00:00Z","currentNotAfter":"2026-12-10T23:59:59Z","currentSanCount":2,"historicalCertCount":22}	{"domain":"stripe.com","atsDetected":true,"atsPlatform":"greenhouse","atsPlatforms":["greenhouse"],"openRoles":589,"roleCountsByDepartment":{"1185 Account Executives (EMEA)":18,"Global Operations":18,"8811 Product Design":13,"7112 Data Science":11,"1175 Enterprise - Account Executives (NA)":10,"2317 Marketing - PMM":10,"8113 Brand Studio":9,"1195 Account Executives (APAC)":8,"1340 Customer Success Management":8,"1652 Platforms - Account Executives (NA)":8,"1160 Partner Solution Engineering":7,"1630 Alliances & Channels":7,"8504 Bridge - R&D":7,"8548 Payins - Eng":7,"9001 Privy - R&D":7,"1151 Solutions Architecture (AMER)":6,"1642 Product Sales - MaaS":6,"1651 Velocity - Account Executives (NA)":6,"3130 Risk & Reward":6,"3313 SDC - Financial Crimes":6,"8122 Data Foundations":6,"8414 MerchantXP - Eng":6,"8512 Terminal - Eng":6,"8560 Bank Connections - Eng":6,"1150 Solutions Architecture":5,"1154 Specialized Solutions Architecture":5,"1510 Global Business Services":5,"2314 Performance Marketing":5,"2315 Marketing - Marketing Operations":5,"2413 Communications":5,"3513 Core Product Partnerships":5,"4128 SDC - Product Support":5,"4145 Support Products - Eng":5,"4378 SDC - Fraud Operations":5,"4892 Risk Operations Enablement":5,"6220 Executive Operations":5,"6420 Accounting":5,"6480 Internal Audit":5,"8125 Core Compute":5,"8612 Security Infrastructure":5,"1130 Global Sales Development Mgrs":4,"1134 APAC Sales Development Reps":4,"1140 Professional Services":4,"1170 GEO Sales HQ (NA)":4,"1520 Sales Operations (SS&O)":4,"1653 Startups - Account Executives (NA)":4,"3311 FinCRO":4,"4148 Technical Account Management, Support & Services - APAC":4,"4712 SDC - Accelerate":4,"4896 Fraud Operations":4,"5902 Tax Autofile":4,"6520 Recruiting":4,"8212 ML Foundations":4,"8538 MMS APIs & Experiences - PM":4,"8555 Payments Globalization - PM":4,"8570 Consumer Network - Eng":4,"8813 Web Presence & Platform":4,"9014 Metronome - R&D":4,"1141 AMER Delivery":3,"1142 APAC Delivery":3,"1152 Solutions Architecture (EMEA)":3,"1512 Global Sales Enablement":3,"1530 GTM Industries":3,"1641 Product Sales - RFA ex Billing":3,"3131 Risk Supportability Strategy":3,"4130 Technical Account Management, Support & Services - AMER":3,"4135 SDC - Marketing":3,"4138 SDC - Tech Ops":3,"4204 SDC - MonOps":3,"4900 Support Eng & PM":3,"6215 Colds Program - G&A":3,"6360 Product & Partnering Legal":3,"6410 Treasury Finance":3,"6430 Tax":3,"6444 Deal Pricing":3,"6451 COE F&S (SDC)":3,"6620 Workplace Services":3,"7420 Finance Systems":3,"8217 Risk Engineering":3,"8259 Risk Tech Program Management & Other":3,"8412 Billing Products":3,"8514 Connect - Eng":3,"8546 Treasury for Platforms - Eng":3,"8611 Security Analytics":3,"1133 EMEA Sales Development Reps":2,"1135 Accelerate":2,"1342 Payment Performance":2,"1640 Product Sales - Payments":2,"1644 Product Sales - Prime Billing":2,"2313 Marketing - APAC":2,"3132 Risk Strategy":2,"3511 Financial Services Partnerships":2,"3514 Regional Product Partnerships":2,"3710 Startup Product":2,"4129 SDC - User Policy Operations":2,"4137 SDC - Legal Operations":2,"4150 Technical Support":2,"4168 SDC - Credit Operations":2,"4193 Financial Crimes Operations":2,"4203 BFin - Accounting (SDC)":2,"4374 SDC - Partner Risk Operations":2,"4899 SDC - Bridge RiskOps":2,"5112 General University":2,"6311 Data Protection & Privacy":2,"6320 Commercial Legal":2,"6427 Procurement":2,"6452 Sales Comp":2,"6513 People Systems & Solutions":2,"6515 People Consultants":2,"6526 University Recruiting":2,"6550 People Partners":2,"7312 CorpTech Customer Success":2,"8127 Core Infrastructure":2,"8186 Service Platform":2,"8260 Risk and Compliance Platform PM":2,"8262 APAC - PM":2,"8415 Revenue and Finance Automation":2,"8417 Accounting Products":2,"8516 Payments Global":2,"8551 OAP - Eng":2,"8552 PayIntel - PM":2,"8554 Payments Experiences - PM":2,"8569 MerchantXP - PM":2,"8614 Office of the CISO & Partnership":2,"8910 Technical Program Management":2,"8916 Growth - Eng":2,"1131 Vendor Mgmt and SD PM":1,"1132 AMER Sales Development Reps":1,"1143 EMEA Delivery":1,"1153 Solutions Architecture (APAC)":1,"1180 GEO Sales HQ (EMEA)":1,"1190 GEO Sales HQ (APAC)":1,"1540 Global Sales & Business Ops HQ":1,"1643 Product Sales - Billing":1,"1645 Product Sales - Metronome":1,"1650 AI GTM Strategy & Solutions":1,"2222 Corporate Development":1,"2326 Bridge - Marketing":1,"3110 User Policy Operations":1,"3133 Risk Onboarding Strategy":1,"3134 Fraud Risk Strategy":1,"3510 CBO Admin":1,"4119 Product Support":1,"4141 SDC - Central Operations Enablement":1,"4147 Technical Account Management, Support & Services - EMEA":1,"4160 SDC - Managed Operations: Issuing":1,"4176 Support S&A":1,"4199 Consumer Operations - SDC":1,"4401 Merchant Acquiring Bank - Legal":1,"4516 SDC - Bridge":1,"4890 Credit Operations":1,"4891 Partner Risk Operations":1,"6313 EMEA Regulatory Affairs":1,"6314 Public Policy":1,"6390 Corporate Security":1,"6425 Finance Operations":1,"6441 Corporate F&S":1,"6443 GTM F&S":1,"6447 Product Pricing":1,"6448 Payments & Risk F&S":1,"6449 CTO Finance & Strategy":1,"6482 SOX":1,"6490 BizOps and Compass":1,"6511 People Strategy & Enablement":1,"6512 People Analytics & Research":1,"6514 People Operations SDC":1,"6516 Employee Relations":1,"6522 Talent & Careers":1,"6523 Recruiting Enablement":1,"6532 Benefits":1,"6610 Food":1,"8116 Developer Platform - Eng":1,"8123 Core Infra Admin":1,"8126 Developer Infrastructure":1,"8129 Global Networking":1,"8134 Operations Platform":1,"8216 Risk Onboarding and Trusted Users":1,"8250 Connect - PM":1,"8256 Issuing - PM":1,"8505 Bridge - G&A":1,"8506 Bridge - S&O":1,"8511 PayIntel - Eng":1,"8513 Payments Experience - Eng":1,"8515 Capital - Eng":1,"8526 Product Experience Operations":1,"8535 Risk Credit & Fraud":1,"8539 MMS Product - Eng":1,"8556 LPM Core - Eng":1,"8571 Ecosystem Product":1,"8573 Payments, Risk, and Support Admin":1,"8582 Optimized Checkout - Eng":1,"8589 Bridge - S&M":1,"8596 Tax Products":1,"8613 Data Privacy":1,"8712 Enterprise Engine":1,"8803 Partner Products":1,"8917 Growth - PM":1,"9003 Privy - S&O":1,"Tech":1},"hiringFor":{"sales":{"hiring":true,"count":106},"engineering":{"hiring":true,"count":168},"marketing":{"hiring":true,"count":37},"customer-success":{"hiring":true,"count":16},"executive":{"hiring":true,"count":21}},"newestPostingAt":"2026-08-26T01:01:51.000Z","postingsLast30d":208,"postingsPrev30d":109,"velocity30d":1.91,"sampleTitles":["Program Manager, Risk Operations GTM Enablement","Specialist Solutions Architect, Payments (Mandarin Speaking)","Product Manager, Cash Platform","Account Executive, Strategic Platform Partnerships","Account Executive, Enterprise Platforms, Tier 2 Grower"]}	{"domain":"stripe.com","hasMxRecord":true,"mxHosts":["aspmx.l.google.com","alt1.aspmx.l.google.com","alt2.aspmx.l.google.com","aspmx2.googlemail.com","aspmx3.googlemail.com"],"emailProvider":"Google Workspace","isDisposableDomain":false}	2026-08-26T06:00:25.215Z

One row per domain, for example:

{
  "query": "stripe.com",
  "found": true,
  "status": "OK",
  "registration": {
    "domain": "STRIPE.COM",
    "registrar": "MarkMonitor Inc.",
    "registrantOrg": "Stripe, Inc.",
    "registeredAt": "2010-11-24T02:36:59Z",
    "expiresAt": "2030-11-24T02:36:59Z",
    "status": ["clientTransferProhibited"],
    "nameservers": ["NS1.STRIPE.COM", "NS2.STRIPE.COM"]
  },
  "dns": {
    "domain": "stripe.com",
    "aRecords": ["104.18.24.44"],
    "mxRecords": ["1 aspmx.l.google.com."],
    "emailProvider": "Google Workspace"
  },
  "techStack": {
    "domain": "stripe.com",
    "detectedCount": 2,
    "detected": [{ "name": "React", "category": "framework" }, { "name": "Cloudflare", "category": "cdn" }]
  },
  "shopify": null,
  "tlsCertificate": {
    "domain": "stripe.com",
    "currentIssuer": "Let's Encrypt",
    "currentNotBefore": "2026-07-01T00:00:00Z",
    "currentNotAfter": "2026-09-29T00:00:00Z",
    "currentSanCount": 3,
    "historicalCertCount": 214
  },
  "hiring": {
    "domain": "stripe.com",
    "atsDetected": true,
    "atsPlatform": "greenhouse",
    "atsPlatforms": ["greenhouse"],
    "openRoles": 412,
    "roleCountsByDepartment": { "Engineering": 180, "Sales": 90, "Unspecified": 60 },
    "hiringFor": {
      "sales": { "hiring": true, "count": 90 },
      "engineering": { "hiring": true, "count": 180 },
      "marketing": { "hiring": true, "count": 12 },
      "customer-success": { "hiring": true, "count": 8 },
      "executive": { "hiring": true, "count": 5 }
    },
    "newestPostingAt": "2026-08-20T12:00:00.000Z",
    "postingsLast30d": 34,
    "postingsPrev30d": 21,
    "velocity30d": 1.62,
    "sampleTitles": ["Senior Software Engineer", "Account Executive", "Product Marketing Manager"]
  },
  "emailRoute": {
    "domain": "stripe.com",
    "hasMxRecord": true,
    "mxHosts": ["aspmx.l.google.com"],
    "emailProvider": "Google Workspace",
    "isDisposableDomain": false
  },
  "sourcesFound": ["registration", "dns", "techStack", "tlsCertificate", "hiring", "emailRoute"],
  "sourcesTried": ["registration", "dns", "techStack", "shopify", "tlsCertificate", "hiring", "emailRoute"],
  "scrapedAt": "2026-08-21T10:00:00.000Z"
}

Each source is null when that source specifically returned nothing (e.g. shopify is null for a non-Shopify site) — and only sources with real data are charged. A domain where every source misses still gets a row ("found": false), so you always get one row per input, but nothing is billed for it.

Use it from Clay, n8n, Make, or an AI agent

This actor runs synchronously over plain HTTP — call it directly from a script, a workflow tool, or an AI agent, no Apify Console needed once you have an API token.

curl "https://api.apify.com/v2/acts/accountable_eel~company-domain-enrichment/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{"domains":["stripe.com"]}'

n8n. Add an HTTP Request node: Method POST, URL https://api.apify.com/v2/acts/accountable_eel~company-domain-enrichment/run-sync-get-dataset-items?token=<YOUR_TOKEN>, Body Content Type JSON, JSON Body {"domains":["stripe.com"]} (swap in an expression from an earlier node for a real value).

Clay. Add an "HTTP API" column: Method POST, URL https://api.apify.com/v2/acts/accountable_eel~company-domain-enrichment/run-sync-get-dataset-items?token=<YOUR_TOKEN>, Body {"domains":["{{domain}}"]}, mapping the row's domain into the domains array.

MCP. In Claude, Cursor, or any MCP client with the Apify MCP server, ask for "Company Domain Enrichment API — RDAP, DNS, Tech Stack, TLS" — the agent will find and run this actor.

Tips

• Use columns to control cost, not just output width. If you only care about tech stack and hiring signal, select just those two — the other five sources are never queried, so you're not paying for RDAP or TLS lookups you're going to ignore anyway.
• Customize hiringForGroups to your own segments. The default five families (sales, engineering, marketing, customer-success, executive) are a starting point — replace them with the job families that map to how you actually segment accounts, one per line as

  name: keyword, keyword
  .
• Run testRun before a big batch. Five domains is enough to confirm your list format and see what a typical row looks like before you commit to the full run and its full cost.
• Check sourcesFound vs. sourcesTried on every row, not just found. A domain can be found: true from a single hit (say, just registration) while five other sources came back empty — sourcesFound tells you exactly what you paid for.
• Don't expect shopify or hiring to hit on most B2B domains. They're conditional signals by nature — a services company with no e-commerce storefront and no public ATS board will legitimately return null for both, at no charge.

vs. alternatives

	What it costs	What you get	Trade-off
This actor (company-domain-enrichment)	$0.005 per source that returns data (down to $0.0038 on paid tiers), $0.005 actor start, nothing for a miss — up to $0.035 per domain if all seven sources hit	Registration, DNS/email provider, tech stack, Shopify presence, TLS certificate history, ATS hiring signal, and email route, nested in one row per domain	Each source is a focused subset (10 tech-stack signatures, 6 ATS platforms, no SMTP verification) — built for enrichment breadth, not exhaustive single-source depth.
Clay	$0.08–$0.40 per enriched row in credits, on top of a seat	A whole enrichment workspace — waterfalls across dozens of providers, plus the table and the sequencing around it	If you want one place that does everything and you're not counting rows, that's Clay. This is one column, priced per column, callable from Clay via its HTTP step.
BuiltWith	From $295/month	Historic tech data going back years, plus lead lists filtered by technology	If you need "every site that added Shopify last quarter", that's a database question and BuiltWith answers it. This answers "what is this one domain running, right now".
Doing it yourself	Your time + seven endpoints to integrate, rate-limit, and keep working as RDAP registries, ATS APIs, and CT log providers change their responses	The same data	This actor absorbs the maintenance: seven fetchers, retry/timeout handling, and a stable field shape that doesn't break when one upstream API changes its response format.

Prices for third-party tools are their published list prices as of August 2026 and are not tracked here — check the vendor before relying on the comparison.

FAQ

What happens if a domain doesn't match any of the seven sources? You still get a row (found: false), but nothing is billed — Actor.charge() only fires in the branch where a source actually returns data, so a list full of parked domains or typos costs you next to nothing.

Do I need API keys or proxies for any of the seven sources? No. RDAP, Cloudflare DoH, the domain's own homepage, the six ATS platforms' public job-board APIs, and public Certificate Transparency logs are all free and public. This actor also runs with noProxy: true — none of the seven checks needs a residential or datacenter proxy.

Are there rate limits or a concurrency I should worry about? maxConcurrency controls how many domains are processed in parallel (default 5) — raise it for a faster run against a large list, or lower it if you're seeing timeouts from a slow upstream source. There's no fixed per-run cap on domain count.

Is any of this data cached or stored between runs? No. Every field is fetched live at run time from its source — RDAP, DNS, the domain's current homepage, current CT log state, each ATS platform's current board, current MX records. Run the same domain twice on different days and you may get different results (a new TLS cert, an updated hiring count) because nothing is cached.

Is this GDPR-relevant, and is it safe to run against EU company domains? The data returned is public registration (RDAP), public DNS, and public job postings — sources that are, by design, published for public lookup. This actor doesn't return personal data about individuals; registrantOrg reflects a company's registrant name when the registry doesn't redact it. You're still responsible for how you use enriched company data downstream.

Can I run this on a schedule to monitor a list of domains? Yes — set up an Apify schedule against this actor with the same domains input and a cadence that fits your use case (weekly is common for hiring-signal or TLS-renewal monitoring). There's no built-in delta tracking between runs; each run returns the current state, not what changed since the last one.

Can an AI agent call this directly? Yes — it's built for that. Any MCP client with the Apify MCP server can find and run this actor by name ("Company Domain Enrichment API — RDAP, DNS, Tech Stack, TLS"), or you can call the run-sync-get-dataset-items HTTP endpoint directly, as shown above.

What's hiringForGroups actually for? It replaces the five default job families the hiring source reports on (sales, engineering, marketing, customer-success, executive) with whatever segments you sell into — one line per family as name: keyword, keyword. If you sell to procurement teams, for instance, you could add a procurement: procurement, sourcing, supply chain line and every row's hiring.hiringFor will report a count for it.

Related actors

• Tech Stack Lookup — the full signature catalog (30+ technologies) if this actor's focused 10-signature subset isn't enough detail on its own.
• Company Registry Unified Lookup — for company identifiers instead of domains: VAT numbers, LEI codes, and national company registries (VIES, GLEIF, SEC EDGAR, Brønnøysund, PRH).
• Email Deliverability Check — the standalone version of this actor's emailRoute source, with the same MX/provider fingerprint and disposable-domain check, run on its own.