# AI Lead Enrichment — ICP Scoring & Outreach — API Automation

**Use case:** 

Run AI Lead Enrichment — ICP Scoring & Outreach for API, agent, and automation workflows. Export structured results for research, reporting, integrations, and

## Input

```json
{
  "leads": [
    {
      "company": "Apify",
      "domain": "apify.com"
    },
    {
      "company": "Vercel",
      "domain": "vercel.com"
    }
  ],
  "icpDescription": "B2B SaaS companies with 50-1000 employees that do web scraping, data extraction, or AI automation; decision makers in engineering or data roles.",
  "offerContext": "We provide a managed proxy and data-pipeline platform that cuts scraping infrastructure costs by 40%.",
  "model": "openai/gpt-4o-mini",
  "useWebSearch": true,
  "webSearchResults": 10,
  "maxLeads": 12
}
```

## Output

```json
{
  "company_name": {
    "label": "Company Name",
    "format": "string"
  },
  "industry": {
    "label": "Industry",
    "format": "string"
  },
  "company_size": {
    "label": "Company Size",
    "format": "string"
  },
  "role_title": {
    "label": "Role Title",
    "format": "string"
  },
  "icp_fit_score": {
    "label": "ICP Fit Score",
    "format": "integer"
  },
  "personalized_opener": {
    "label": "Personalized Opener",
    "format": "string"
  },
  "enriched_at": {
    "label": "Enriched At",
    "format": "string"
  }
}
```

## About this Actor

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


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).