Lead Enrichment: Domain to Full Company Record

Enrich a company domain list into sales-ready leads: emails (verified), phones, social profiles, addresses, tech stack, and the domain's registration history.

This is four jobs in one run: crawl the site for contacts → verify the emails → look up the domain → pick the best address to actually write to.

How to use

1. Sign up for Apify — the free plan's monthly credit is enough to try this Actor.
2. Open Lead Enrichment, fill in the input (the form is pre-filled with a working example) and click Start.
3. Watch results stream into the dataset table while the run is going.
4. Export as JSON, CSV, Excel, XML, HTML or RSS — or pull the results from your own code with the Apify API.

What data can this lead enrichment scraper extract?

• Contacts — every email and phone found, socials, office addresses, the contact page URL
• Verified — which emails are valid, which are risky, and bestEmail: the one to use
• Company — name, description, language, technology stack (Shopify, HubSpot, WordPress…)
• Domain — registrar, creation date, age in days, expiry, mail and DNS provider, SPF/DMARC, SSL issuer

Why domain age matters

A prospect whose domain was registered three weeks ago with no SPF record is not the same lead as one registered in 2009 running Google Workspace. minDomainAgeDays filters the first kind out before you pay.

How to enrich leads from a domain list

Field	What it does
companies	Domains or URLs
datasetId	Or enrich another Actor's output directly
maxPagesPerCompany	How deep to crawl each site
verifyEmails, includeDomainData	Turn parts off to go faster
skipCompaniesWithoutContacts	Skipped companies are not charged

Input reference

Every option at a glance. A minimal input that works as-is:

{
  "companies": [
    "stripe.com",
    "basecamp.com",
    "gymshark.com"
  ],
  "datasetDomainField": "domain",
  "maxPagesPerCompany": 5,
  "verifyEmails": true,
  "includeDomainData": true,
  "defaultPhoneCountry": "US",
  "maxResults": 1000
}

All fields:

• companies (Company domains) — Domains or URLs — “stripe.com”, “https://www.basecamp.com”. One complete lead record per company.
• datasetId (Or a dataset ID) — Enrich the output of another Actor — for example a Google Maps or LinkedIn company run.
• datasetDomainField (Field with the domain) — Which field holds the domain or website. Default "domain".
• maxPagesPerCompany (Pages per website) — Home, contact, about, team… more pages find more contacts but take longer. Default 5.
• verifyEmails (Verify the emails) — Checks syntax, domain, MX, disposable and role accounts, and picks the best address to contact. Default true.
• includeDomainData (Include domain data) — Registrar, domain age, expiry, SPF/DMARC, mail and DNS provider, SSL certificate. Default true.
• skipCompaniesWithoutContacts (Skip companies with no contacts) — You are not charged for companies that are skipped. Default false.
• minDomainAgeDays (Min domain age (days)) — Drop very new domains — a quick way to filter out shells and throwaways.
• defaultPhoneCountry (Phone country) — Two-letter code used to read local phone numbers, e.g. US, DE, KR. Default "US".
• maxResults (Max results) — Total limit. Default 1000.
• proxy (Proxy) — Apify Proxy is used as a fallback when a site blocks a direct request.

What the lead output looks like

{
  "domain": "apify.com",
  "companyName": "Apify",
  "description": "Thousands of tools to automate your business. Get real-time web data, track competitors, generate leads, and integrate your apps and AI agen…",
  "website": "https://apify.com/",
  "websiteWorks": true,
  "bestEmail": "hello@apify.com",
  "bestEmailStatus": "risky",
  "emails": [
    "hello@apify.com",
    "hello@apify.comproductapify"
  ],
  "emailsValid": [],
  "emailsRisky": [
    "hello@apify.com"
  ],
  "phones": [],
  "socialProfiles": {
    "github": "https://github.com/apify/crawlee",
    "linkedin": "http://linkedin.com/company/apify/",
    "twitter": "https://x.com/apify",
    "tiktok": "https://www.tiktok.com/@apifytech"
  },
  "addresses": [],
  "contactPageUrl": "https://apify.com/contact",
  "technologies": [
    "HubSpot",
    "Google Tag Manager",
    "Intercom",
    "Next.js"
  ],
  "language": "en",
  "pagesChecked": 4,
  "registrar": "Amazon Registrar, Inc.",
  "domainCreatedAt": "2009-06-02T17:14:10Z",
  "domainAgeDays": 6319,
  "domainExpiresAt": "2035-06-02T17:14:10Z",
  "mailProvider": "Google Workspace",
  "dnsProvider": "AWS Route 53",
  "hasSpf": true,
  "hasDmarc": true,
  "certIssuer": "Amazon",
  "certExpiresInDays": 117,
  "serverHeader": null,
  "enrichedAt": "2026-09-21T10:52:33.158Z"
}

How fast is it and what does it cost?

5 companies took 7 seconds. Contact crawling and domain lookups run in parallel, four companies at a time.

Pricing — what you pay per company

This Actor uses pay-per-event pricing: no monthly rental, you pay for the results you get. Prices per 1,000 results by Apify plan:

Event	Free plan	Bronze	Silver	Gold+
company — One company enriched: contacts, verified emails, tech stack and domain data	$5.00	$4.50	$4.25	$4.00

There is also a small start fee of $0.00005 per GB of memory ($0.00005 per run at the default 1 GB). Platform compute is included in the price — you are not billed separately for run time. Set a maximum total charge on the run if you want a hard cap, and use the input limits to control how much is fetched. The current prices are always on the Pricing tab.

Tips

• Start with a small maxResults (say 20) to check the output, then raise it — you only pay per result.
• Keep the default proxy setting — it is only used as a fallback when a direct request is blocked.
• Rows the Actor cannot read are logged and skipped, never charged — check the run log if a count looks low.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API — start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run it on a cron to keep your data fresh.
• Webhooks — trigger downstream actions the moment a run finishes.

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });
const run = await client.actor('tindacloud/lead-enrichment-pipeline').call({
    "companies": [
        "stripe.com",
        "basecamp.com",
        "gymshark.com"
    ],
    "datasetDomainField": "domain",
    "maxPagesPerCompany": 5,
    "verifyEmails": true,
    "includeDomainData": true,
    "defaultPhoneCountry": "US",
    "maxResults": 1000
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Python

from apify_client import ApifyClient

client = ApifyClient("MY_APIFY_TOKEN")
run = client.actor("tindacloud/lead-enrichment-pipeline").call(run_input={
    "companies": [
        "stripe.com",
        "basecamp.com",
        "gymshark.com"
    ],
    "datasetDomainField": "domain",
    "maxPagesPerCompany": 5,
    "verifyEmails": True,
    "includeDomainData": True,
    "defaultPhoneCountry": "US",
    "maxResults": 1000
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

cURL — run and get the results in one request:

curl -X POST "https://api.apify.com/v2/acts/tindacloud~lead-enrichment-pipeline/run-sync-get-dataset-items?token=MY_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["stripe.com", "basecamp.com", "gymshark.com"], "datasetDomainField": "domain", "maxPagesPerCompany": 5, "verifyEmails": true, "includeDomainData": true, "defaultPhoneCountry": "US", "maxResults": 1000}'

Integrate with any app

Connect the dataset to thousands of apps — no code required:

• Make — multi-step automation scenarios.
• Zapier — push new records straight into your CRM or sheet.
• n8n — self-hosted workflows.
• Slack — get notified when a run finishes or finds something new.
• Google Drive / Sheets — auto-export every run to a spreadsheet.
• Airbyte — pipe results into your data warehouse.
• GitHub — trigger runs from commits or releases.
• Webhooks — call your own endpoint when a run succeeds or fails.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this Actor from Claude, ChatGPT, Cursor or any agent framework through the Apify MCP server — ask your assistant to "turn these 100 company domains into a lead list with emails, phones, social profiles and tech stack" and let it run this Actor for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This Actor is agent-ready — AI agents can discover it, run it and pay for it on their own. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic payments:

• x402 — an open, HTTP-native payment protocol. Agents pay in USDC through the Apify MCP server — no Apify account needed.
• Skyfire — agent-to-service payments with pre-funded Skyfire tokens.

Building an AI agent, MCP tool or data pipeline? This Actor is ready to plug in and pay as it goes.

Ready-made examples

Open one, change the fields, press Start — nothing to configure:

• Turn a list of domains into sales leads
• Enrich company domains with emails
• Qualify leads by domain age and tech stack

Frequently asked questions

Do I need an API key or a login?

No. Paste your input, press Start. There is nothing to connect and no account on the target site to create.

How do I export the results?

Every run produces a dataset you can download as JSON, CSV, Excel, XML or HTML, or read through the Apify API from your own code. You can also connect it to Make, Zapier or n8n.

Can I run this on a schedule?

Yes. Apify schedules run it every hour, day or week without you being there. Each run is independent, so a schedule gives you a fresh snapshot every time.

Can I call it from Python or JavaScript?

Yes — the Apify API runs any Actor and returns the dataset, and the official Python and JavaScript clients wrap it in a few lines. AI agents can call it too, through Apify's MCP server.

What does it cost?

You pay per result, not per hour. Filters are applied before anything is charged, so narrowing the input directly lowers the bill. Pages that cannot be read are reported in the log and never charged.

Is this data public?

Everything collected here is what a list of domains shows to anyone without logging in. Check the target site's terms and the rules that apply to you before using the data commercially.

Related scrapers

• Email Finder — a specific person's address at these companies
• Google Maps Scraper with Emails — find the companies in the first place
• LinkedIn Company Scraper — headcount and industry