# Find leads showing buying intent

**Use case:** 

profileBadge esta declarado no schema como buying-intent. findEmail e PAGO — declarar no titulo.

## Input

```json
{
  "maxResults": 100,
  "countOnly": false,
  "titleMatchMode": "SMART",
  "profileBadge": [
    "hiring"
  ],
  "findEmail": true,
  "includeCompanyDetails": false
}
```

## Output

```json
{
  "full_name": {
    "label": "Full Name",
    "format": "string"
  },
  "title": {
    "label": "Job Title",
    "format": "string"
  },
  "company_name": {
    "label": "Company",
    "format": "string"
  },
  "email": {
    "label": "Business Email",
    "format": "string"
  },
  "email_status": {
    "label": "Email Status",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority",
    "format": "string"
  },
  "linkedin_url": {
    "label": "LinkedIn URL",
    "format": "string"
  },
  "headline": {
    "label": "Headline",
    "format": "string"
  },
  "last_updated": {
    "label": "Source Last Updated",
    "format": "string"
  },
  "company_details": {
    "label": "Company Details",
    "format": "object"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "reason": {
    "label": "Reason",
    "format": "string"
  },
  "total_matches": {
    "label": "Total Matches",
    "format": "integer"
  },
  "error_kind": {
    "label": "Error Kind",
    "format": "string"
  },
  "raw": {
    "label": "Full Profile",
    "format": "object"
  },
  "_metadata": {
    "label": "Metadata",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Leads Finder ✅ B2B Emails, Apollo Alternative](https://apify.com/atomus/leads-finder.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/atomus/leads-finder.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/atomus/leads-finder.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).