# Enrich a Messy Cold Outreach List

**Use case:** 

Feed a mixed list of emails, domains and name-plus-company rows and get one normalised, enriched record per line. No cleanup pass needed first.

## Input

```json
{
  "leads": [
    "patrick@stripe.com",
    "hubspot.com",
    "Amir Salihefendic, doist.com"
  ],
  "targetIndustries": [],
  "maxPagesPerDomain": 5,
  "minConfidence": 0.3
}
```

## Output

```json
{
  "input": {
    "label": "Lead",
    "format": "text"
  },
  "leadScore": {
    "label": "Score",
    "format": "number"
  },
  "leadTier": {
    "label": "Tier",
    "format": "text"
  },
  "companyName": {
    "label": "Company",
    "format": "text"
  },
  "domain": {
    "label": "Domain",
    "format": "text"
  },
  "industry": {
    "label": "Industry",
    "format": "text"
  },
  "employeeBand": {
    "label": "Size",
    "format": "text"
  },
  "contactName": {
    "label": "Contact",
    "format": "text"
  },
  "contactTitle": {
    "label": "Title",
    "format": "text"
  },
  "contactEmail": {
    "label": "Contact email",
    "format": "text"
  },
  "roleEmail": {
    "label": "Role email",
    "format": "text"
  },
  "techStack": {
    "label": "Tech",
    "format": "text"
  },
  "domainHasMx": {
    "label": "MX",
    "format": "boolean"
  },
  "confidenceScore": {
    "label": "Conf",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Lead Enrichment & Scoring - Email/Domain to ICP Fit](https://apify.com/renzomacar/lead-enrichment.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/renzomacar/lead-enrichment.md) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/renzomacar/lead-enrichment.md

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).