# B2B Contact Enricher — Email & Phone Finder (`yourwingman/b2b-contact`) Actor

Extract B2B contact information from any company website. Discovers emails, phone numbers, LinkedIn profiles, Twitter/X handles, Facebook pages, and contact form URLs. Ideal for sales prospecting and lead generation.

- **URL**: https://apify.com/yourwingman/b2b-contact.md
- **Developed by:** [Wingman](https://apify.com/yourwingman) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event + usage

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

## B2B Contact Enricher — Apify Actor

Extract B2B contact information from any company website — emails, phone numbers, LinkedIn profiles, social links, and contact forms.

### Features

- **Email Discovery** — Finds email addresses on company websites, filtered to the target domain
- **Phone Numbers** — Detects US/NA phone numbers with optional extensions
- **LinkedIn Profiles** — Identifies LinkedIn company and person profile links
- **Social Media** — Finds Twitter/X and Facebook profile links
- **Contact Forms** — Detects contact form URLs for outreach
- **Address Extraction** — Finds physical address and location information
- **Smart Crawling** — Automatically discovers contact, about, and team pages for deeper enrichment

### Use Cases

- **Sales Prospecting** — Build targeted lead lists with verified contact info
- **Market Research** — Enrich CRM records with company contact details
- **Recruitment** — Find company LinkedIn pages and HR contacts
- **Competitive Intelligence** — Monitor competitor contact channels

### Input

```json
{
  "domains": ["https://apify.com", "crawlee.dev"],
  "maxLinksPerDomain": 10
}
```

### Output

Each dataset item contains contact data from one crawled page:

```json
{
  "domain": "apify.com",
  "url": "https://apify.com/contact",
  "emails": ["hello@apify.com"],
  "phoneNumbers": ["+1 (555) 123-4567"],
  "linkedInUrls": ["https://linkedin.com/company/apify"],
  "twitterUrls": ["https://twitter.com/apify"],
  "contactFormUrl": "https://apify.com/contact",
  "address": "123 Main St, San Francisco, CA"
}
```

### Pricing

- **PAY\_PER\_EVENT** — $0.00005 per actor start + $0.00005 per dataset item

### Tech Stack

- TypeScript + Crawlee + Playwright
- Apify Proxy for reliable crawling

# Actor input Schema

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

List of company website URLs or domains to search for contact information (e.g., https://example.com or example.com).

## `maxLinksPerDomain` (type: `integer`):

Maximum number of contact, about, and team pages to crawl per domain.

## `proxy` (type: `object`):

Proxy settings for crawling.

## Actor input object example

```json
{
  "domains": [
    "https://example.com"
  ],
  "maxLinksPerDomain": 10,
  "proxy": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `domain` (type: `string`):

The company domain being analyzed.

## `url` (type: `string`):

URL of the page where contact info was found.

## `emails` (type: `string`):

Email addresses found on the page.

## `phoneNumbers` (type: `string`):

Phone numbers found on the page.

## `linkedInUrls` (type: `string`):

LinkedIn company or profile URLs found.

## `twitterUrls` (type: `string`):

Twitter or X profile URLs found.

## `facebookUrls` (type: `string`):

Facebook page URLs found.

## `contactFormUrl` (type: `string`):

URL of the contact form if found.

## `address` (type: `string`):

Physical address extracted from the page.

## `pageTitle` (type: `string`):

HTML title of the crawled page.

## `metaDescription` (type: `string`):

Meta description tag content.

# 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": [
        "https://example.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("yourwingman/b2b-contact").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": ["https://example.com"] }

# Run the Actor and wait for it to finish
run = client.actor("yourwingman/b2b-contact").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": [
    "https://example.com"
  ]
}' |
apify call yourwingman/b2b-contact --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=yourwingman/b2b-contact",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/czD9dqUyyKfIAObbZ/builds/XxoDaKYuv70gXcIrv/openapi.json