# Tool: Contact Enrichment (`scrapers_lat/contact-enrichment-tool`) Actor
Enrich B2B contacts with public work email, job title, seniority, LinkedIn, location and company domain using premium AI research. Paid Apify plans only.
- **URL**: https://apify.com/scrapers\_lat/contact-enrichment-tool.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Lead generation, Business, AI
- **Stats:** 1 total users, 0 monthly users, 92.9% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $40.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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
[](https://console.apify.com/actors/contact-enrichment-tool)
## Tool: Contact Enrichment
> Turn a name and a company into a complete B2B contact. Find public work emails and enrich each contact with job title, seniority, LinkedIn, location and company domain using premium AI research.
**📥 [Input](https://apify.com/scrapers_lat/contact-enrichment-tool/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/contact-enrichment-tool/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/contact-enrichment-tool/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/contact-enrichment-tool/examples)**
Email + status verified, likely, guessed
Enrichment title, seniority, LinkedIn
JSON / CSV / Excel output formats
### What it does
Give it a list of contacts with a company name (and a person name or domain when you have them). For each contact it runs deep AI research over public sources and returns a clean, structured record:
- **email** and **emailStatus** (verified, likely, guessed, not\_found)
- **jobTitle** and **seniority**
- **linkedinUrl**
- **location** and **companyDomain**
- **source** URL and a **confidence** level for every match
Feed the results straight into a CRM, a cold email tool or a spreadsheet. Export to JSON, CSV or Excel, or pull it through the Apify API.
### Paid plans only
This tool runs on the latest, most reliable premium AI models. Because each run has a real model cost, it is available to paid Apify accounts only. A run started from a free account stops immediately with an upgrade message. Upgrade your Apify subscription to a paid plan and run it again.
### Who is it for
| Use case | Who benefits |
|---|---|
| Outbound sales | SDRs building targeted contact lists |
| Recruiting | Recruiters reaching candidates and hiring managers |
| Agencies | Teams enriching client prospect lists at scale |
| RevOps | Filling gaps in CRM records with fresh public data |
### Input
- **contacts**: a list of items, each with a `company` (and optionally `name` and `domain`).
- **findFields**: which data points to research (email, job title, seniority, LinkedIn, location, company domain).
- **maxItems**: optional cap on how many contacts to enrich this run.
### Notes
- Only publicly available business data is researched. Use the results in line with applicable laws and each source's terms.
- Email status tells you how confident the match is, so you can verify before sending.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Enrich company contacts for Stripe](https://apify.com/scrapers_lat/contact-enrichment-tool/examples/cenr-enrich-stripe): Enrich Stripe with company contact data including email formats, seniority, location and LinkedIn links as JSON.
- [Enrich company contacts for Ramp](https://apify.com/scrapers_lat/contact-enrichment-tool/examples/cenr-enrich-ramp): Enrich Ramp company records with email patterns, job titles, seniority and location fields returned as clean JSON.
- [Enrich company contacts for Notion](https://apify.com/scrapers_lat/contact-enrichment-tool/examples/cenr-enrich-notion): Enrich Notion with contact details such as email, title, location and LinkedIn links exported as structured JSON.
- [Enrich company contacts for Figma](https://apify.com/scrapers_lat/contact-enrichment-tool/examples/cenr-enrich-figma): Enrich Figma company data with email formats, seniority and job titles from its domain, delivered as JSON records.
- [Enrich company contacts for Airtable](https://apify.com/scrapers_lat/contact-enrichment-tool/examples/cenr-enrich-airtable): Enrich Airtable with email patterns, titles, location and company domain fields returned in clean structured JSON.
- [Enrich company contacts for Vercel](https://apify.com/scrapers_lat/contact-enrichment-tool/examples/cenr-enrich-vercel): Enrich Vercel company records with email, seniority, LinkedIn and location fields exported as structured JSON.
- [Enrich company contacts for Linear](https://apify.com/scrapers_lat/contact-enrichment-tool/examples/cenr-enrich-linear): Enrich Linear with email formats, job titles and seniority pulled from its company domain and returned as JSON.
- [Enrich company contacts for Datadog](https://apify.com/scrapers_lat/contact-enrichment-tool/examples/cenr-enrich-datadog): Enrich Datadog company data with email, title, location and LinkedIn fields from its domain, delivered as JSON.
- [Enrich company contacts for Snowflake](https://apify.com/scrapers_lat/contact-enrichment-tool/examples/cenr-enrich-snowflake): Enrich Snowflake with email patterns, seniority and company domain fields returned as clean and consistent structured JSON.
- [Enrich company contacts for Brex](https://apify.com/scrapers_lat/contact-enrichment-tool/examples/cenr-enrich-brex): Enrich Brex company records with email, title, seniority, location and LinkedIn fields exported as structured JSON.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
Built by [scrapers.lat](https://scrapers.lat).
# Actor input Schema
## `maxContacts` (type: `integer`):
Cap how many contacts to enrich this run. Optional.
## `contacts` (type: `array`):
A list of contacts to research. Each item can include a person name, a company name and a company domain. The more you provide, the better the match.
## `findFields` (type: `array`):
Which public data points to research for each contact.
## Actor input object example
```json
{
"contacts": [
{
"name": "",
"company": "Stripe",
"domain": "stripe.com"
}
],
"findFields": [
"email",
"jobTitle",
"seniority",
"linkedinUrl",
"location",
"companyDomain"
]
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"contacts": [
{
"name": "",
"company": "Stripe",
"domain": "stripe.com"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/contact-enrichment-tool").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "contacts": [{
"name": "",
"company": "Stripe",
"domain": "stripe.com",
}] }
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/contact-enrichment-tool").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 '{
"contacts": [
{
"name": "",
"company": "Stripe",
"domain": "stripe.com"
}
]
}' |
apify call scrapers_lat/contact-enrichment-tool --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/contact-enrichment-tool",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/6pa69DmlRmx3fpek4/builds/c0FVwyfenjp0tl1Fg/openapi.json