# B2b Lead Prospector (`cn2.dev/b2b-lead-prospector`) Actor

- **URL**: https://apify.com/cn2.dev/b2b-lead-prospector.md
- **Developed by:** [BUKYA NARESH](https://apify.com/cn2.dev) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 1,000 lead extracteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## 🎯 B2B Lead Prospector & Contact Enrichment Engine

Fast, accurate, and cost-effective B2B lead generation. Automatically scrape local business profiles and deeply enrich each result with **verified emails, direct phone numbers, websites, physical addresses, and social media links** (LinkedIn, Facebook, Instagram).

***

### 🚀 Why Use This Actor?

- **⚡ Deep Contact Enrichment**: Extracts direct websites, emails, and company social profiles.
- **🛡️ Built-in Noise Filtering**: Filters out generic domains, invalid phone formats, and bot blockers.
- **💰 Transparent PPE Pricing**: Pay only **$0.0025 per enriched lead** ($2.50 per 1,000 leads). You never pay for empty queries or dead pages.
- **🔌 Automation Ready**: Integrates seamlessly with Make.com, Zapier, n8n, and custom Python/Node.js webhooks.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `searchQuery` | String | `"Dentists"` | Business category, trade, or industry niche to target. |
| `location` | String | `"Austin, TX"` | City, State, or Metro region to prospect. |
| `maxResults` | Integer | `50` | Maximum number of verified leads to extract. |
| `extractSocials` | Boolean | `true` | Crawls official websites to extract emails and social profiles. |

***

### 📤 Output Dataset Format

Every record saved to your default dataset includes clean, standardized fields:

```json
{
  "business_name": "Austin Dental Arts",
  "category": "Dentists",
  "target_location": "Austin, TX",
  "phone": "+1 512-555-0199",
  "website": "https://www.austindentalarts.com",
  "address": "123 Congress Ave, Austin, TX 78701",
  "rating": "4.9",
  "email": "contact@austindentalarts.com",
  "linkedin": "https://www.linkedin.com/company/austin-dental-arts",
  "instagram": "https://www.instagram.com/austindentalarts",
  "facebook": "https://www.facebook.com/austindentalarts"
}
```

***

### 💡 Recommended Use Cases

1. **Cold Outreach & Email Campaigns**: Feed verified contact lists directly into Lemlist, Instantly, or Smartlead.
2. **CRM Ingestion**: Bulk-import localized B2B targets into HubSpot, Salesforce, or Pipedrive.
3. **Local Agency Prospecting**: Identify local service businesses lacking websites, social presence, or modern infrastructure.

# Actor input Schema

## `searchQuery` (type: `string`):

Category or keyword (e.g. Dentists, Commercial Roofing, Accountants)

## `location` (type: `string`):

Target geographic location (e.g. Austin, TX)

## `maxResults` (type: `integer`):

Total business profiles to extract and enrich

## `extractSocials` (type: `boolean`):

Visit the target website to parse business email and social media profiles

## Actor input object example

```json
{
  "searchQuery": "Dentists",
  "location": "Austin, TX",
  "maxResults": 10,
  "extractSocials": true
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQuery": "Dentists",
    "location": "Austin, TX"
};

// Run the Actor and wait for it to finish
const run = await client.actor("cn2.dev/b2b-lead-prospector").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 = {
    "searchQuery": "Dentists",
    "location": "Austin, TX",
}

# Run the Actor and wait for it to finish
run = client.actor("cn2.dev/b2b-lead-prospector").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 '{
  "searchQuery": "Dentists",
  "location": "Austin, TX"
}' |
apify call cn2.dev/b2b-lead-prospector --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cn2.dev/b2b-lead-prospector"
        }
    }
}
```

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/lGq0xxLcTCRuo9ViA/builds/bqzRVIN4ELWCCxfpD/openapi.json