# Lead Finder (`crawlerbros/lead-finder`) Actor

Find B2B leads by job title, location, and industry. Extracts name, title, company, LinkedIn URL, and guessed email from public search results. No API keys or credentials needed.

- **URL**: https://apify.com/crawlerbros/lead-finder.md
- **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community)
- **Categories:** Lead generation, Automation, Agents
- **Stats:** 328 total users, 41 monthly users, 99.5% runs succeeded, 9 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Lead Finder

Find B2B leads by job title, location, and industry. Returns name, title, company, LinkedIn URL, and email. No API keys or credentials needed.

### Input

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `jobTitles` | string\[] | Yes | - | Job titles to search for (e.g. "CEO", "Software Engineer") |
| `locations` | string\[] | No | \[] | Locations to target (e.g. "New York", "London") |
| `industries` | string\[] | No | \[] | Industries to filter by (e.g. "SaaS", "Healthcare") |
| `companyNames` | string\[] | No | \[] | Specific companies to target (e.g. "Google", "Stripe") |
| `maxLeads` | integer | No | 100 | Maximum number of leads to return (1-500) |

### Output

Each lead includes:

| Field | Description |
|-------|-------------|
| `full_name` | Person's full name |
| `first_name` | First name |
| `last_name` | Last name |
| `title` | Job title |
| `company_name` | Company name |
| `company_domain` | Company website domain |
| `location` | Location (when available) |
| `linkedin_url` | LinkedIn profile URL |
| `email` | User Email |
| `scraped_at` | Timestamp |

### Example

**Input:**

```json
{
    "jobTitles": ["VP of Marketing"],
    "locations": ["Austin"],
    "maxLeads": 5
}
```

**Output:**

```json
{
    "full_name": "Greg Brauner",
    "first_name": "Greg",
    "last_name": "Brauner",
    "title": "VP of Marketing",
    "company_name": "Thinkific",
    "company_domain": "thinkific.com",
    "location": "Austin",
    "linkedin_url": "https://www.linkedin.com/in/gregbrauner",
    "email": "greg.brauner@thinkific.com",
    "scraped_at": "2026-02-27T10:18:02.866080+00:00"
}
```

# Actor input Schema

## `jobTitles` (type: `array`):

Job titles to search for (e.g. 'Software Engineer', 'CEO', 'Marketing Manager'). Each title generates a separate search query.

## `locations` (type: `array`):

Locations to target (e.g. 'New York', 'California', 'United States'). Leave empty to search globally.

## `industries` (type: `array`):

Industries to filter by (e.g. 'SaaS', 'Healthcare', 'Finance'). Appended to search query for filtering.

## `companyNames` (type: `array`):

Specific companies to target (e.g. 'Google', 'Microsoft'). Leave empty to search all companies.

## `maxLeads` (type: `integer`):

Maximum number of leads to return. Higher values require more search queries and take longer.

## Actor input object example

```json
{
  "jobTitles": [
    "CEO"
  ],
  "locations": [],
  "industries": [],
  "companyNames": [],
  "maxLeads": 100
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset with discovered B2B leads

# 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 = {
    "jobTitles": [
        "CEO"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawlerbros/lead-finder").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 = { "jobTitles": ["CEO"] }

# Run the Actor and wait for it to finish
run = client.actor("crawlerbros/lead-finder").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "jobTitles": [
    "CEO"
  ]
}' |
apify call crawlerbros/lead-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawlerbros/lead-finder"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/PodmAngVPoxDFa8hG/builds/MQYc9NpPY1VQXhTz3/openapi.json