Company Lead Enrichment: emails, phones, decision makers and tech stack from a domain list

Company enrichment and lead enrichment in one run. Give it a list of company domains (or the results of Google Maps Scraper or any other scraper) and get back one row per company with:

• Emails and phones published on the company's own website, plus the best general address (bestEmail)
• Social profiles: LinkedIn company page, X, Facebook, Instagram, YouTube, TikTok, GitHub, Pinterest
• Postal address, country, company name, legal name, description, logo and founding date
• Decision makers: the named people the company lists on its team, about, leadership and Impressum pages, with job title, seniority, LinkedIn link and published email, most senior first
• Tech stack: CMS, shop platform, CRM and marketing tools, analytics, hosting and email provider

It is the lookup people describe as find emails and decision makers from a domain list, domain enrichment, email and phone enrichment, company data enrichment or Clay-style enrichment on Apify: a waterfall of four specialised lookups merged into a single company profile you can export to CSV, Google Sheets or your CRM.

Pricing is per result and stated in full below. In our own test runs a company cost $0.007 to $0.013, everything included. Domains that return nothing are free, and you can switch off any module you don't need.

How it works

The Actor runs four Data Gleaner Actors for your whole list at once, each as its own run in your Apify account, and merges their results by domain:

Module	Actor it runs	What it adds
Contacts (includeContacts)	Website Email Finder & Contact Details Scraper	Emails, phones, social profiles, contact form, postal address, read from up to 8 pages per site
People (includePeople)	Company Leadership & Team Page Scraper	Named people with job title, seniority, LinkedIn and published email
Company (includeCompany)	Company Enrichment by Domain	Name, description, logo, founding date, address, official social profiles
Tech stack (includeTechStack)	Tech Stack Lookup by Domain	CMS, shop platform, CRM, analytics, hosting, email provider, each with evidence

The four lookups run in parallel, so a run takes about as long as the slowest module: 11 to 34 seconds for 3 companies and 52 to 117 seconds for 10 in our tests. Domains are deduplicated first: acme.com, www.acme.com, https://acme.com/about and ACME.com/ are one company. Every row carries sources, the run ID of each module's run, so any value can be traced back to the page it came from.

If one module fails or returns nothing for a company, the row is still returned with what the other modules found, and warnings and moduleStatus say which module came back empty and why.

Pricing

Pay per event, no subscription. Two kinds of charges appear on your bill:

Event	Charged by	Price	When
company-profile	this Actor	$0.001	per company row with at least one email, person, company fact (name, description, phone, address or social profile) or technology. Empty and unreachable domains are free.
website-with-email	contacts module	$0.002	per website where at least one email was found
person-found	people module	$0.002	per person returned (capped by maxPeoplePerCompany, default 5)
company-enriched	company module	$0.0008	per company with a name plus a social profile or contact
tech-stack-found	tech stack module	$0.0025	per domain where at least one technology was detected

The module charges are each Actor's own listed price, the same as running it alone, and they show on your bill under that Actor's name.

Worked example. A typical company with an email on its site, 3 people on its team page, a company profile and a tech stack costs $0.001 + $0.002 + 3 x $0.002 + $0.0008 + $0.0025 = $0.0123. 1,000 such companies cost about $12.30.

Measured on our own runs (Apify platform, October 2026): 3 software companies with team pages cost $0.039 in total ($0.013 each, 10 people found); 10 mixed small businesses (dentists, a pizzeria, a brewery, small software firms) cost $0.073 in total ($0.0073 each), because fewer of them publish a team page.

Turning modules off lowers the cost. Leave out people and tech stack and the most a company can cost is $0.001 + $0.002 + $0.0008 = $0.0038. Lower maxPeoplePerCompany to pay for fewer people.

Your max cost per run is respected across all modules. When you set a maximum total charge for the run, the Actor splits it between itself and the four module runs in proportion to each one's worst case per company (every module billing, maxPeoplePerCompany people each), and passes each module its share as that run's own limit. It enriches only as many companies as fit, says how many it skipped in the status message, and stops if the platform reports the limit reached. Because the split assumes the worst case, a tight limit can enrich fewer companies than it would have paid for.

How to enrich a list of company domains

1. Paste the company domains into Company domains, one per line (bare domains or full URLs).
2. Switch off any module you don't need, and set Max people per company.
3. Click Start. The four modules start at once; the merged rows appear when they finish.
4. Open the Company profiles view in the Output tab and export as CSV, Excel or JSON, or read the dataset through the API.

Run it after Google Maps Scraper or any scraper

To enrich every business a Google Maps scrape (or any other scraper that outputs websites) returns:

1. Open the source Actor's Integrations tab and add this Actor (datagleaner/company-lead-enrichment).
2. Set its input to:

{"datasetId": "{{resource.defaultDatasetId}}"}

Every time the source run succeeds, this Actor reads the website of each result (website, url, domain, site, homepage, link, companyWebsite or web, the first one present, or the field you name in datasetUrlField), skips items without a website, map and social-network links and duplicates, and enriches each company up to maxCompanies. Each row keeps the source item's title or name as sourceName, for example the Google Maps place name.

From code, for a run that has already finished:

run = client.actor("datagleaner/company-lead-enrichment").call(run_input={"datasetId": "SOURCE_DATASET_ID"})

When no domains, startUrls or datasetId is given, the Actor also looks for the triggering run's dataset in the integration payload (payload.resource.defaultDatasetId). If the platform does not let the run read that dataset, the status message says so: set datasetId as above.

Input

{
  "domains": ["baremetrics.com", "plausible.io", "savvycal.com"],
  "includeContacts": true,
  "includePeople": true,
  "includeCompany": true,
  "includeTechStack": true,
  "maxPeoplePerCompany": 5,
  "maxCompanies": 100
}

Field	Meaning
domains	Company domains or URLs, one per line. Scheme, www., path and case are ignored.
startUrls	The same in the common Apify format, [{"url": "https://acme.com"}]. Merged with domains.
datasetId, datasetUrlField	Read websites from another Actor's dataset (see above).
includeContacts, includePeople, includeCompany, includeTechStack	Modules to run (all on by default). A module that is off is not run and not billed.
maxPeoplePerCompany	People per company, most senior first (default 5, max 50).
maxCompanies	Companies per run across every source (default 100).

With every source empty, the Actor runs a 3-company example (baremetrics.com, plausible.io, savvycal.com) and says so in the status message.

Output

One row per company. Fields a module did not find are empty or null, never guessed. A real row (shortened):

{
  "domain": "baremetrics.com",
  "input": "baremetrics.com",
  "website": "https://baremetrics.com/",
  "status": "ok",
  "billed": true,
  "companyName": "Baremetrics",
  "description": "Baremetrics is the subscription analytics platform that transforms recurring revenue data into actionable insights ...",
  "logoUrl": "https://baremetrics.com/hubfs/.../baremetrics-logo.svg",
  "foundingDate": null,
  "country": null,
  "address": null,
  "bestEmail": "hello@baremetrics.com",
  "emails": ["hello@baremetrics.com", "marketing@baremetrics.com", "luke@baremetrics.com"],
  "phones": ["+18559486210"],
  "socials": {
    "linkedin": null,
    "x": "https://x.com/Baremetrics",
    "facebook": "https://www.facebook.com/baremetrics",
    "instagram": "https://www.instagram.com/baremetricsapp",
    "youtube": "https://www.youtube.com/channel/UC4yqLVYBeheZX7Z8z9cfy8A",
    "tiktok": null,
    "github": "https://github.com/baremetrics",
    "pinterest": null
  },
  "people": [
    {"name": "Luke Marshall", "jobTitle": "CEO", "seniority": "c-level", "email": "luke@baremetrics.com", "linkedinUrl": null, "sourceUrl": "https://baremetrics.com/about"},
    {"name": "Allison Barkley", "jobTitle": "Director of Operations", "seniority": "director", "email": "allison@baremetrics.com", "linkedinUrl": null, "sourceUrl": "https://baremetrics.com/about"}
  ],
  "peopleCount": 5,
  "techStack": ["HubSpot CMS", "HubSpot", "Mailchimp", "Help Scout", "Intercom", "Google Analytics", "Google Workspace"],
  "platform": "HubSpot CMS",
  "cms": ["HubSpot CMS"],
  "ecommerce": [],
  "crmMarketing": ["HubSpot", "Mailchimp"],
  "analytics": ["Google Analytics", "Google Analytics 4"],
  "emailProvider": ["Google Workspace"],
  "techByCategory": {"CMS": ["HubSpot CMS"], "CRM and marketing automation": ["HubSpot", "Mailchimp"]},
  "sourceName": null,
  "moduleStatus": {"contacts": "ok", "people": "ok", "company": "ok", "techStack": "ok"},
  "warnings": [],
  "sources": {"contactsRunId": "nrCfRIVxl5FcilVP4", "peopleRunId": "6dLwgv820qbz1Llv5", "companyRunId": "7D3FufInCoeXR5gqc", "techStackRunId": "Zt8JXAxvVUgKfHKm1"},
  "scrapedAt": "2026-10-20T16:20:11+00:00"
}

status is ok when the row holds at least one email, person, company fact or technology (and is billed), noData when the site was read but held nothing, or the site's own status such as unreachable or parked (free). The final status message summarises the run: companies, how many had an email, people found and tech stacks found. The key-value store record RUN_SUMMARY lists each module's run ID and its share of your max cost.

Measured results

Run on the Apify platform (datacenter IPs) in October 2026 on 10 mixed companies: two Austin dentists, a New York pizzeria, a Copenhagen brewery and six small software companies.

• Email found for 7 of 10, phone for 3, at least one social profile for 9 (LinkedIn company page for 5), postal address for 4.
• Company name for 10 of 10, description for 9.
• People for 4 of 10 (8 people, all founders or leaders, 3 with a LinkedIn link). The local businesses publish no team page; most small software companies do.
• Tech stack for 10 of 10, email provider for 8 (Google Workspace, Fastmail and others).
• Run time 52 seconds. On 3 software companies (the prefill), all 3 had an email, people (10 in all), a company profile and a tech stack, in 11 to 34 seconds over four runs.

A different list gives different rates. Local businesses rarely list their staff online, and some sites block automated visitors.

Limits

• Only what the company publishes on its own website, plus its DNS records for the email provider. No LinkedIn search, no third-party databases, no guessed emails.
• No JavaScript rendering: details a site draws only with scripts after the page loads can be missed, and sites that block non-browser clients may come back unreachable (the contacts and company modules retry blocked sites once through Apify Proxy).
• People need a first and last name and a role on the page; first-name-only cards are skipped.
• The merged row appears when all four modules have finished, not company by company.
• Each module's run counts toward your account's concurrent runs and memory: 1 GB for contacts, 512 MB each for people and company, 2 GB for tech stack, about 4 GB in all while the modules run.

Use it from n8n, Make, Zapier, the API or an AI agent

Actor ID: datagleaner/company-lead-enrichment

Minimal input:

{"domains": ["baremetrics.com", "plausible.io"]}

• n8n: add the Apify node (@apify/n8n-nodes-apify), choose Run an Actor and get dataset, set Actor to datagleaner/company-lead-enrichment and paste the input above.
• Make: use the Apify app's Run an Actor module, then Get Dataset Items.
• Zapier: use the Apify action Run Actor, then the search Fetch dataset items.
• AI agents (MCP): connect to https://mcp.apify.com/?tools=datagleaner/company-lead-enrichment and ask in plain words, for example: Enrich baremetrics.com and plausible.io: best email, founders with LinkedIn, and which CRM they use.

Python:

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("datagleaner/company-lead-enrichment").call(
    run_input={"domains": ["baremetrics.com", "plausible.io"], "maxPeoplePerCompany": 3}
)
for row in client.dataset(run.default_dataset_id).iterate_items():
    print(row["domain"], row["bestEmail"], [p["name"] for p in row["people"]], row["crmMarketing"])

One API call that returns the rows:

curl -X POST "https://api.apify.com/v2/acts/datagleaner~company-lead-enrichment/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"domains": ["baremetrics.com", "plausible.io"]}'

FAQ

Is this the same as running the four Actors myself? The data is the same and so are their prices. This Actor saves the work of starting four runs and joining their rows by domain, and adds $0.001 for each merged company profile.

Why do I see five Actors on my bill? Each module runs as its own run in your account and bills its own listed events. The table above lists every event and price.

Can I get only emails and decision makers? Yes. Switch off includeCompany and includeTechStack. The most a company then costs is $0.001 + $0.002 + maxPeoplePerCompany x $0.002.

Does it find personal emails of people? Only when the company publishes them on its own pages. It never guesses or generates addresses.

Does it work with a CSV of domains? Paste the column into domains, or upload the file as a dataset and pass its ID in datasetId.

What happens with duplicates and messy URLs? https://www.Acme.com/about, acme.com/ and ACME.com are treated as one company and enriched once.

What if a module fails? The row is still returned with what the other modules found. moduleStatus shows failed for that module and warnings gives the reason. A company with nothing found is free.

Related Data Gleaner Actors

• Website Email Finder & Contact Details Scraper: every email, phone, social profile and contact form on a website.
• Company Leadership & Team Page Scraper: founders, executives and team members from a company's own website, one row per person.
• Company Enrichment by Domain: company name, logo, description and official social profiles.
• Tech Stack Lookup by Domain: CMS, shop platform, CRM, analytics and email provider of any website.

Responsible use

This Actor reads publicly available web pages and DNS records only. Names, work emails and phone numbers of people can still be personal data. You are responsible for complying with the law that applies to you, including data protection rules (GDPR, CCPA and similar) and anti-spam law, when you store or contact the companies and people in the results.