# Company Contact Enrichment — details per domain (`artifact-machine/company-contact-enrichment`) Actor

For every domain: company name, postal address, published email addresses and phone numbers, social profiles, and links to the contact, about and careers pages. Only what the company published on its own site — no guessed addresses, no permuted name patterns.

- **URL**: https://apify.com/artifact-machine/company-contact-enrichment.md
- **Developed by:** [The Artifact Machine](https://apify.com/artifact-machine) (community)
- **Categories:** Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 row returneds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Company Profile Enrichment — details per domain

For every domain: company name, social profiles, postal address, and links to the contact, about and careers pages, plus any email or phone the company publishes. Measured over 100 random sites: social profiles on 63%, company name on 43%, an email on 13% — most sites simply do not print an address on the homepage. Only what the company published itself; no guessed addresses and no permuted name patterns.

**Turn a list of domains into company records: name, address, published contacts and social profiles.**

### What you get

One row per domain, with these columns:

- `companyName`
- `address`
- `roleEmails`
- `allEmails`
- `phones`
- `linkedin`
- `twitter`
- `facebook`
- `instagram`
- `contactPageUrl`
- `aboutPageUrl`

#### Real output

Measured on `https://www.hubspot.com/`:

```json
{
  "companyName": "HubSpot",
  "address": "2 Canal Park, Cambridge, MA, 02141, US",
  "roleEmails": [],
  "allEmails": [],
  "phones": [],
  "linkedin": "https://www.linkedin.com/company/hubspot?hubs_content=www.hubspot.com%2Fhomepg-b&hubs_content-cta=hstc_linkedin&wfoid=c0c2e3b257.1788995538",
  "twitter": "https://x.com/HubSpot?hubs_content=www.hubspot.com%2Fhomepg-b&hubs_content-cta=hstc_twitter&wfoid=c0c2e3b257.1788995538",
  "facebook": "https://www.facebook.com/hubspot?hubs_content=www.hubspot.com%2Fhomepg-b&hubs_content-cta=hstc_facebook&wfoid=c0c2e3b257.1788995538",
  "instagram": "https://www.instagram.com/hubspot/?hubs_content=www.hubspot.com%2Fhomepg-b&hubs_content-cta=hstc_instagram&wfoid=c0c2e3b257.1788995538",
  "contactPageUrl": "https://offers.hubspot.com/contact-sales?hubs_signup-url=www.hubspot.com%2Fhomepg-b&hubs_signup-cta=nav-utility-contactsales&hubs_content=www.hubspot.com%2Fhomepg-b&hubs_content-cta=nav-utility-contactsales&wfoid=c0c2e3b257.1788995538",
  "aboutPageUrl": "https://www.hubspot.com/our-story?hubs_content=www.hubspot.com%2Fhomepg-b&hubs_content-cta=nav-utility-about&wfoid=c0c2e3b257.1788995538"
}
```

### Input

Give it a list of domains:

```json
{ "domains": ["example.com", "another.com"] }
```

Or chain it after any actor that produces a list — Google Maps Scraper, a CRM
export, a prospect list — by passing that dataset as `items` and naming the
column that holds the website:

```json
{ "items": [{ "title": "Acme", "website": "acme.com" }], "field": "website" }
```

### Domains it could not read

A domain that blocks the scan, times out, or errors comes back with
`measured: false`, a `reason`, and **every data column null** — never a zero
and never a false.

That matters at bulk. One fabricated `false` in a sheet of ten thousand rows
is worse than a missing row, because nobody audits the row that looks
plausible. Filter on `measured` and you know exactly what you are looking at.

Roughly one site in eight refuses an automated reader.

### Notes

- Reads the homepage only, one page per domain.
- Loads each page in a real browser, so it sees client-rendered content.

# Actor input Schema

## `domains` (type: `array`):

Domains or URLs to enrich. One row is returned per domain.

## `items` (type: `array`):

Output from another actor (e.g. Google Maps Scraper). Set 'Website field' to the column holding the site.

## `field` (type: `string`):

Which field in the upstream items holds the website.

## `concurrency` (type: `integer`):

Domains processed in parallel (1-10).

## Actor input object example

```json
{
  "domains": [
    "basecamp.com",
    "linear.app"
  ],
  "field": "website",
  "concurrency": 5
}
```

# Actor output Schema

## `dataset` (type: `string`):

One row per domain.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "domains": [
        "basecamp.com",
        "linear.app"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("artifact-machine/company-contact-enrichment").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "domains": [
        "basecamp.com",
        "linear.app",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("artifact-machine/company-contact-enrichment").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "domains": [
    "basecamp.com",
    "linear.app"
  ]
}' |
apify call artifact-machine/company-contact-enrichment --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,artifact-machine/company-contact-enrichment"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/KMxaM0CCgQc8wcFKK/builds/RLaWNqVbdcMYUWJwV/openapi.json